# About Building Resilience > Building Resilience (BuildResil) was founded by Dr. Jonathan D. Linton, former Editor-in-Chief of Technovation. Meet the team and ClarityAILab, our AI lab. URL: https://www.buildresil.com/about Last updated: 2026-11-01 Research-grade methods, put to work in real supply chains and operations. ## Who is Building Resilience? **Building Resilience (BuildResil) is a supply chain, AI and decision support company. We help organizations see disruption early, test their options and make decisions that hold up under uncertainty.** We bring research-grade methods, such as stochastic optimization, genetic algorithms and early warning analytics, into real operations, and we stay through implementation. ## Our team ### Dr. Jonathan D. Linton, Founder {#jonathan-linton} Dr. Jonathan D. Linton founded Building Resilience. He previously served as **Editor-in-Chief of *Technovation***, the international journal on technological innovation, and chairs the editorial board of [ClarityAILab](https://www.clarityailab.com/). His published research includes: - Linton, J. D., & Xu, W. (2021). Understanding and managing the biotechnology valley of death. *Trends in Biotechnology*. [doi:10.1016/j.tibtech.2020.06.013](https://doi.org/10.1016/j.tibtech.2020.06.013) - Linton, J. D., & Xu, W. (2021). Research on science and technological entrepreneurship education: What needs to happen next? *Journal of Technology Transfer*, 46(2), 393–406. [doi:10.1007/s10961-020-09786-6](https://doi.org/10.1007/s10961-020-09786-6) Contact: [SupplyChain@buildresil.com](mailto:SupplyChain@buildresil.com) ## ClarityAILab, our AI lab [ClarityAILab](https://www.clarityailab.com/) develops our AI products. For business, that means [MaiMai](/products/maimai), offered as Clarity Enterprise: supply chain AI that turns documents into structured data and runs sourcing and purchasing workflows, with governance and human oversight built in. ## What we stand for - **Proof over promises.** We publish results we can stand behind, with context. See [Experience](/experience). - **People decide.** Our systems support human decisions; they do not replace them. See [Governance](/governance). - **Practical by design.** We build for real operations, including rural, remote and resource-constrained settings. ## Partners We represent Sound Mathematics in Canada and work with specialist partners where careful deployment matters. See [Partnerships](/partnerships). ## Questions people ask ### Who is the founder of Building Resilience? Dr. Jonathan D. Linton founded Building Resilience. He previously served as Editor-in-Chief of Technovation and chairs the editorial board of ClarityAILab. ### Is BuildResil the same as Building Resilience? Yes. BuildResil is the short name of Building Resilience, used in our web address, buildresil.com. ### What is ClarityAILab? ClarityAILab is Building Resilience's AI lab. It develops our AI products, including MaiMai for sourcing and procurement, and Clarity Kids, with governance, privacy and environmental efficiency as standards. --- Building Resilience (BuildResil) · 226-386-4343 · SupplyChain@buildresil.com · https://www.buildresil.com # AI for supply chains and operations > Governed AI for supply chains: early warning that spots unusual patterns before they become crises, forecasting, and document AI with people in charge. URL: https://www.buildresil.com/ai Last updated: 2026-11-01 AI that spots trouble early and does the busywork, inside accountable systems where people make the decisions. ## What AI do we build? **We build AI that reduces uncertainty in operations: it detects problems early, forecasts what is likely, and removes manual document work, always inside accountable systems where people decide.** Our AI products are developed through [ClarityAILab](https://www.clarityailab.com/), our AI lab, with governance built in. ## Early warning and anomaly detection Our early warning algorithm detects sudden departures from established patterns. It analyses historic data to establish what is normal, including random variation, and flags changes that matter. Applied to mortality data, **it identified a significant spike in deaths in early January 2020, weeks before the first official COVID-19 case was reported in the UK.** While anecdotal reports hinted at earlier outbreaks, the algorithm gave quantitative evidence of the virus's early impact. [Read the case](/experience/algorithms-for-resilience). The same method can monitor sales, production processes, supplier performance or any operation where catching a change early reduces risk. ## Optimization that searches wider Most planning tools converge on the first good answer they find. Our stochastic optimization, enhanced by genetic algorithms, keeps exploring alternative assumptions, so the plan it returns is robust rather than just locally optimal. See [decision support](/decision-support). ## Document AI for supply chains Supply chain decisions often wait on documents: invoices, packing lists, spreadsheets, tenders. [MaiMai](/products/maimai), developed through ClarityAILab, turns them into structured data and runs sourcing and purchasing workflows with approvals and audit trails. ## How we keep AI accountable - AI supports human decisions; it does not replace them. - Outputs are traceable and explainable to the people accountable for them. - Data stays under the owner's control. - Systems must work in real operations, not only in tests. More on our approach in [Governance](/governance). ## Questions people ask ### What is an early warning algorithm? An early warning algorithm learns the normal pattern and random variation in historic data, then flags sudden departures from that pattern. Ours identified a significant spike in deaths in early January 2020, weeks before the first official COVID-19 case was reported in the UK. ### Where can anomaly detection be used in a business? Anywhere early detection reduces risk or opens an opportunity, including sales, production processes, supplier performance, logistics delays and fraud. The same method applies wherever there is enough history to define normal. ### Does Building Resilience's AI replace people? No. Our AI is designed to support human decision-making, not replace it. It highlights patterns, risks and options; accountable people decide, with clear boundaries, oversight and audit trails. --- Building Resilience (BuildResil) · 226-386-4343 · SupplyChain@buildresil.com · https://www.buildresil.com # Contact us > Contact Building Resilience about supply chain, AI, digital twins, decision support, partnerships or projects. Phone 226-386-4343 or SupplyChain@buildresil.com. URL: https://www.buildresil.com/contact Last updated: 2026-11-01 Tell us about the decision you are facing. We will reply by email. ## How to reach us - **Phone:** [226-386-4343](tel:+12263864343) - **Email (general enquiries, partnerships, media and speaking):** [SupplyChain@buildresil.com](mailto:SupplyChain@buildresil.com) ## Send a message

--- Building Resilience (BuildResil) · 226-386-4343 · SupplyChain@buildresil.com · https://www.buildresil.com # Decision support under uncertainty > Decision support systems that find robust choices across many possible futures, with people in charge and the reasoning visible. URL: https://www.buildresil.com/decision-support Last updated: 2026-11-01 When the future is uncertain, the best plan is the one that holds up across many futures, not the one that wins on a single forecast. ## What is decision support under uncertainty? **Decision support under uncertainty helps leaders choose plans that perform well across many possible futures, with the trade-offs and assumptions visible.** Building Resilience develops decision support systems for real operations where reliability, transparency and accountability matter. ## How it works 1. **Frame the decision.** What is being decided, by whom, by when, and what would make it a good or bad outcome. 2. **Describe the uncertainty.** Demand, prices, lead times, supplier reliability, weather, policy: each as a range, using history and expert judgement. 3. **Model and simulate.** A model or [digital twin](/digital-twins) runs each option across many futures. 4. **Optimize for robustness.** Our stochastic optimization, enhanced by genetic algorithms, searches widely for options that hold up, instead of stopping at a local optimum. 5. **Show, don't hide.** Results are presented so decision-makers see what drives them and can challenge the assumptions. ## Where it has worked - **Supply chain strategy:** multi-step, multi-country supply chains; for some businesses the robust answer was to concentrate on domestic markets. [Read more](/experience/algorithms-for-resilience). - **Early warning:** quantitative evidence of an unusual spike weeks before official reports. [Read more](/ai). - **Procurement:** a framework that cut procurement costs by 30%. [Read more](/experience/social-housing-procurement). - **Housing and energy:** a study of 40 homes and community buildings that led to a First Nations community's first net zero home. [Read more](/experience/net-zero-first-nation). ## Principles - Systems support human decisions; they do not replace them. - Outputs and processes are understandable and traceable. - Clear responsibility for decisions and outcomes. - Systems must work in real-world environments, not just theoretical settings. See [Governance](/governance) for how we build this in from the start. ## Questions people ask ### What is decision-making under uncertainty? It is making choices when key inputs, such as demand, prices, lead times or weather, cannot be known in advance. Good practice is to describe the range of possible outcomes and choose options that perform acceptably across that range, rather than optimizing for one forecast. ### What is a robust decision? A robust decision is one that performs well across many plausible futures, even if it is not the best possible choice for any single one. It trades a little upside for much less exposure to bad outcomes. ### What is a decision support system? A decision support system brings together data, models and analysis to help people make a specific decision. It does not make the decision; it shows the options, their likely outcomes and the trade-offs so accountable people can choose. --- Building Resilience (BuildResil) · 226-386-4343 · SupplyChain@buildresil.com · https://www.buildresil.com # Digital twins for supply chains > What a supply chain digital twin is, what it is good for, and how Building Resilience builds one to test decisions against disruption before acting. URL: https://www.buildresil.com/digital-twins Last updated: 2026-11-01 A living model of your supply chain, port, site or portfolio, so you can test a decision before you make it. ## What is a supply chain digital twin? **A supply chain digital twin is a working model of your real supply chain, fed with your own data, that you can use to test decisions before you make them.** It represents suppliers, sites, stock, routes, lead times, costs and constraints, and it changes when the real operation changes. The animation on our home page shows the idea: a port and its digital twin through a year of weather. The forecast warns of a storm hours ahead, the twin shows which cranes stop or lose power, and the plan adjusts before cargo is late. ## What is a digital twin good for? - **Testing disruptions:** a supplier fails, a route closes, a storm stops a port, demand jumps. - **Comparing options:** more stock or a second supplier, near-shore or offshore, one site or two. - **Planning under uncertainty:** running many possible futures and finding the decisions that hold across them (see [decision support](/decision-support)). - **Seeing the current state:** one picture of stock, orders and risks instead of many spreadsheets. ## How we build one 1. **Start with the decision.** We agree which decisions the twin must support and who will use it. 2. **Model what matters.** We build the model from your data and our operations research methods, at the level of detail the decision needs, no more. 3. **Connect the data.** Existing systems first; where information lives in documents, [MaiMai](/products/maimai) can structure it. 4. **Test and calibrate.** We check the twin against what actually happened before anyone relies on it. 5. **Hand over and support.** Your team uses it for real decisions, with the assumptions visible and governance built in. ## Why Building Resilience Our background is optimization under uncertainty and practical implementation: [stochastic optimization with genetic algorithms](/experience/algorithms-for-resilience), [early warning analytics](/ai), and [procurement and supply work](/supply-chain) that delivered measured results. A digital twin is how we bring those methods into everyday decisions. [Talk to us about a digital twin](/contact). ## Questions people ask ### What is a digital twin of a supply chain? A digital twin is a working model of a real supply chain that is kept up to date with real data. Because it behaves like the real thing, you can run "what if" questions on it, such as a supplier failing, a port closing or demand doubling, without risking the real operation. ### What is the difference between a digital twin and a simulation? A simulation is a model you run for a study. A digital twin is a model connected to live or regularly refreshed data, so it reflects the current state of the operation and can be used again and again for day-to-day decisions. ### What do you need to start a digital twin? Usually less than people expect. Start with the decision you want to improve and the data you already have, such as orders, stock, supplier lead times and costs. Missing data can be estimated and refined; document-heavy data can be structured with tools like MaiMai. --- Building Resilience (BuildResil) · 226-386-4343 · SupplyChain@buildresil.com · https://www.buildresil.com # Experience and results > Case studies: 30% lower procurement costs, an early warning algorithm that flagged a January 2020 spike, and a First Nations community's first net zero home. URL: https://www.buildresil.com/experience Last updated: 2026-11-01 What we did, what changed, and what we learned. ## What have we delivered? **Our work has cut procurement costs by 30% for a public social housing organization, produced an early warning algorithm that flagged a spike in deaths in early January 2020, and helped a First Nations community build its first net zero home.** Each case below explains the problem, the approach and the outcome. - [Optimizing Procurement for Public Social Housing: Enhancing Sustainability and Efficiency](https://www.buildresil.com/experience/social-housing-procurement): A tailored procurement framework for a public social housing organization that brought in new energy-efficient suppliers and cut procurement costs by 30%. - [Innovating for Resilience: Algorithms and Practical Solutions for a Changing World](https://www.buildresil.com/experience/algorithms-for-resilience): An early warning algorithm that detected an unusual spike in UK deaths weeks before the first reported COVID-19 case, plus supply chain optimization and accessible air-tightness testing. - [A Journey to Net Zero: Building Resilience for Future Generations](https://www.buildresil.com/experience/net-zero-first-nation): A detailed study of 40 homes and community buildings in a First Nations community, leading to the community’s first net zero home and lasting local capacity. --- Building Resilience (BuildResil) · 226-386-4343 · SupplyChain@buildresil.com · https://www.buildresil.com # Governance, privacy and responsibility > How Building Resilience builds accountability, transparency, human oversight and privacy into AI and decision support systems from the outset. URL: https://www.buildresil.com/governance Last updated: 2026-11-01 Governance is built into system design from the outset, rather than added afterward. ## How do we govern AI and decision support? **Building Resilience builds accountability, transparency, human oversight and privacy into every system from the outset.** This includes the AI products developed through [ClarityAILab](https://www.clarityailab.com/), our AI lab, where governance, privacy and accountability are part of system design and workflows. ## Principles | Principle | What it means in practice | |---|---| | **Accountability** | Systems support clear responsibility for decisions and outcomes. | | **Transparency** | Outputs and processes are understandable and traceable. | | **Human oversight** | AI and decision support systems support human decision-making; they do not replace it. | | **Practicality** | Systems must work in real-world environments, not just theoretical settings. | ## Built in, not bolted on - Approval workflows, supplier records and audit trails for operational decisions. - Alignment with regulatory and organizational requirements. - Clear ownership and control of information. - Data treated as something to be protected and responsibly managed: entrusted, not owned. ## Who this matters for Regulated and public-sector organizations, critical infrastructure and any business where a decision has to be explained afterwards. We engage where responsible system design and real-world accountability are essential. [Contact us](/contact). ## Questions people ask ### How does Building Resilience govern its AI? Governance is designed in from the start. Systems have clear ownership of decisions and data, traceable outputs, human oversight at decision points, alignment with regulatory and organizational requirements, and data treated as entrusted rather than owned. ### Who is accountable for decisions made with your systems? The people and organizations that make them. Our systems support decision-making and show their reasoning; they do not take decisions on their own. --- Building Resilience (BuildResil) · 226-386-4343 · SupplyChain@buildresil.com · https://www.buildresil.com # See your supply chain before it moves > Building Resilience builds AI, digital twins and decision support for supply chains, so organizations can see disruption early and choose what holds. URL: https://www.buildresil.com/ Last updated: 2026-11-01 Digital twins and AI decision support that see the storm coming, test your options, and keep cargo moving. ## What does Building Resilience do? **Building Resilience builds AI, digital twins and decision support for supply chains, so organizations can see disruption early, test their options, and choose decisions that hold up whatever comes next.** We work across procurement, logistics, energy, housing and the public sector, and we stay through implementation, not just advice. Supply chains run through blizzards, heatwaves, price shocks and supplier failures, and these rarely arrive one at a time. Most planning tools optimize for a single forecast. We model the uncertainty itself, then look for the plan that performs well across many possible futures. ## Results we can show | Result | What we did | Read more | |---|---|---| | **30% lower procurement costs** | A tailored procurement framework for a public social housing organization that brought in new energy-efficient suppliers and removed unnecessary intermediaries. | [Procurement for social housing](/experience/social-housing-procurement) | | **Early warning, weeks ahead** | An anomaly detection algorithm that identified a significant spike in deaths in early January 2020, weeks before the first official COVID-19 case was reported in the UK. | [Algorithms for resilience](/experience/algorithms-for-resilience) | | **Robust supply chain plans** | Stochastic optimization enhanced by genetic algorithms for multi-step supply chains across countries, currencies and risks. It found that, for some businesses, a domestic focus reduces risk. | [Algorithms for resilience](/experience/algorithms-for-resilience) | | **A community's first net zero home** | A study of 40 homes and community buildings with a First Nations community, leading to its first net zero home and lasting local skills. | [Journey to net zero](/experience/net-zero-first-nation) | ## How we work 1. **Model.** We build a working model of your supply chain or operation from the data you already have: suppliers, routes, stock, contracts and costs. Where documents are the bottleneck, [MaiMai](/products/maimai) turns invoices, packing lists and supplier files into structured data. 2. **Simulate.** We turn that model into a [digital twin](/digital-twins) and run it against the disruptions that matter to you: weather, demand swings, supplier failures, price and currency moves. 3. **Decide.** We use [optimization under uncertainty](/decision-support) to find options that hold across many futures, then present them so the people accountable can decide, with the reasoning visible. ## What we offer - **[Supply chain](/supply-chain):** sourcing, procurement design, supplier onboarding and network optimization. - **[AI](/ai):** early warning and anomaly detection, forecasting, and document AI, with governance built in. - **[Digital twins](/digital-twins):** living models of supply networks, ports, sites and portfolios to test "what if" before it happens. - **[Decision support](/decision-support):** robust decisions under uncertainty, from scenario design to the dashboards leaders use. - **[Governance](/governance):** accountability, transparency, human oversight and privacy from the start. ## Sectors we work in - [Logistics and ports](https://www.buildresil.com/sectors/logistics-ports): Plan around storms, closures and congestion before cargo is late, with digital twins and early warning. - [Manufacturing and procurement](https://www.buildresil.com/sectors/manufacturing-procurement): Diversify suppliers, redesign procurement and optimize sourcing across countries and risks. - [Energy and infrastructure](https://www.buildresil.com/sectors/energy-infrastructure): Energy systems that perform in every season, from analysis and procurement to implementation. - [Housing and communities](https://www.buildresil.com/sectors/housing-communities): Healthier, more efficient homes, from 40-home assessments to a community's first net zero home. - [Public sector and health](https://www.buildresil.com/sectors/public-sector): Early warning and governed decision support for public bodies, where decisions must be explained. ## Who we are Building Resilience was founded by **Dr. Jonathan D. Linton**, former Editor-in-Chief of *Technovation*, the journal for research on technological innovation and its management. He also chairs the editorial board of [ClarityAILab](https://www.clarityailab.com/), our AI lab. [Meet the team](/about). ## Questions people ask ### What does Building Resilience do? Building Resilience (BuildResil) designs, builds and implements decision support for supply chains. We combine AI, digital twins and optimization under uncertainty so organizations can see disruption early, test options before committing, and choose decisions that hold across many possible futures. ### Who founded Building Resilience? Building Resilience was founded by Dr. Jonathan D. Linton, former Editor-in-Chief of the journal Technovation, who also chairs the editorial board of ClarityAILab, our AI lab. ### What results has Building Resilience delivered? A procurement framework that cut a public social housing organization's procurement costs by 30%; an early warning algorithm that flagged a spike in UK deaths in early January 2020, weeks before the first official COVID-19 case; and a study of 40 homes that led a First Nations community to its first net zero home. ### How is Building Resilience related to ClarityAILab? ClarityAILab is Building Resilience's AI lab. Our AI products, including MaiMai for sourcing and procurement, are developed through ClarityAILab with governance and human oversight built in. --- Building Resilience (BuildResil) · 226-386-4343 · SupplyChain@buildresil.com · https://www.buildresil.com # Insights > Articles from Building Resilience on supply chain resilience, AI, digital twins and making decisions under uncertainty. URL: https://www.buildresil.com/insights Last updated: 2026-11-01 Short, practical articles on supply chains, AI, digital twins and deciding under uncertainty. ## Latest articles Subscribe with [RSS](/feed.xml). --- Building Resilience (BuildResil) · 226-386-4343 · SupplyChain@buildresil.com · https://www.buildresil.com # Partnerships and applied collaboration > Building Resilience represents Sound Mathematics in Canada and works with specialist partners where careful, governed deployment of new technology matters. URL: https://www.buildresil.com/partnerships Last updated: 2026-11-01 We work with specialized partners and emerging technologies where thoughtful deployment, governance and real-world application are required. ## Who do we partner with? **Building Resilience partners with technology companies and specialists to bring advanced analytical, AI and imaging technologies into real operations in Canada, with governance and safety considered from the start.** ### Sound Mathematics (Canada) Building Resilience represents Sound Mathematics in Canada, supporting the introduction and application of advanced analytical and imaging technologies. This includes putting technologies in context for real-world use, engaging with potential users, and aligning applications with operational and governance requirements. ### ImageTriage (early stage) Discussions are ongoing about the potential application of ImageTriage, an advanced imaging and analysis platform. This work is at an early stage. It includes exploring use cases, engaging stakeholders, and considering governance, safety and operational requirements, including potential applications in the Canadian fission sector. Formal agreements are in development. ### ClarityAILab [ClarityAILab](https://www.clarityailab.com/) is our AI lab and develops our AI products, including [MaiMai](/products/maimai). ## How we approach partnerships We focus on practical deployment, structured implementation and alignment with real-world requirements: evaluating suitability for operational environments, supporting integration into workflows, and making sure systems can be applied responsibly. We have also helped a client repurpose an algorithm built to detect subsurface cracks in nuclear reactors toward applications with more urgent market demand. Partnership inquiries: [SupplyChain@buildresil.com](mailto:SupplyChain@buildresil.com). ## Questions people ask ### Who does Building Resilience represent in Canada? Building Resilience represents Sound Mathematics in Canada, supporting the introduction and application of advanced analytical and imaging technologies. ### How do I propose a partnership? Email SupplyChain@buildresil.com with a short description of the technology or opportunity, or use the contact form. --- Building Resilience (BuildResil) · 226-386-4343 · SupplyChain@buildresil.com · https://www.buildresil.com # Products > AI products developed through ClarityAILab, Building Resilience's AI lab, including MaiMai for document-to-data, sourcing and procurement workflows. URL: https://www.buildresil.com/products Last updated: 2026-11-01 Software developed through ClarityAILab, our AI lab, with governance built in. ## What products do we offer? **Our AI products are developed through [ClarityAILab](https://www.clarityailab.com/), Building Resilience's AI lab.** For supply chains, that is MaiMai, offered as Clarity Enterprise. - [MaiMai (Maimai Supply)](https://www.buildresil.com/products/maimai): Supply chain AI that turns documents into data and runs sourcing and purchasing workflows, with governance built in. --- Building Resilience (BuildResil) · 226-386-4343 · SupplyChain@buildresil.com · https://www.buildresil.com # Sectors we work in > Where we apply supply chain AI, digital twins and decision support: logistics and ports, manufacturing, energy, housing and the public sector. URL: https://www.buildresil.com/sectors Last updated: 2026-11-01 The same methods, model, simulate and decide, applied where disruption is costly and decisions have to be explained. ## Where do we work? **Building Resilience works where supply chains meet real-world uncertainty: logistics and ports, manufacturing and procurement, energy and infrastructure, housing and communities, and the public sector.** Each sector page explains the typical problem, what we model and the evidence behind our approach. - [Logistics and ports](https://www.buildresil.com/sectors/logistics-ports): Plan around storms, closures and congestion before cargo is late, with digital twins and early warning. - [Manufacturing and procurement](https://www.buildresil.com/sectors/manufacturing-procurement): Diversify suppliers, redesign procurement and optimize sourcing across countries and risks. - [Energy and infrastructure](https://www.buildresil.com/sectors/energy-infrastructure): Energy systems that perform in every season, from analysis and procurement to implementation. - [Housing and communities](https://www.buildresil.com/sectors/housing-communities): Healthier, more efficient homes, from 40-home assessments to a community's first net zero home. - [Public sector and health](https://www.buildresil.com/sectors/public-sector): Early warning and governed decision support for public bodies, where decisions must be explained. --- Building Resilience (BuildResil) · 226-386-4343 · SupplyChain@buildresil.com · https://www.buildresil.com # Supply chain and procurement > Supply chain optimization, procurement design and supplier onboarding that hold up under disruption, including a framework that cut procurement costs 30%. URL: https://www.buildresil.com/supply-chain Last updated: 2026-11-01 We design sourcing, procurement and logistics that stay robust across countries, currencies and risks, and we stay through implementation. ## What we do in supply chain **Building Resilience designs and optimizes supply chains and procurement so they keep working when conditions change.** We combine operations research and AI with practical implementation: we assess suppliers, design the process, and help put it into practice. - **Network and inventory optimization under uncertainty.** Our stochastic optimization, enhanced by genetic algorithms, is built for multi-step supply chains that span countries, currencies and risk factors. It explores alternative assumptions instead of settling on a local optimum. - **Procurement design.** Frameworks that open markets to new, capable suppliers while keeping technical standards, warranty support and ESG criteria intact. - **Supplier discovery and onboarding.** We assess potential suppliers, identify capability gaps and help close them: trade compliance, logistics, product certification and technical modifications. - **Document and workflow automation.** Through [MaiMai](/products/maimai), procurement and logistics documents become structured data, and RFQs, supplier records and approvals run with a full audit trail. - **Implementation.** Sourcing, coordination and supply for real projects, where logistics, procurement and system integration decide whether a plan works. ## Proof | Result | Context | |---|---| | 30% lower procurement costs | Public social housing organization; supplier acquisition costs also fell and orders were fulfilled faster. [Read the case](/experience/social-housing-procurement). | | Robust multi-country plans | Stochastic optimization with genetic algorithms; for some businesses, concentrating on domestic markets reduced risk and gave better long-term outcomes. [Read more](/experience/algorithms-for-resilience). | ## A finding worth knowing: domestic can be safer Our optimization work found that **for some businesses, concentrating on domestic markets can reduce risk and deliver better long-term outcomes than pursuing volatile international opportunities.** The point is not that domestic is always better. It is that the answer depends on the uncertainty in your own chain, and it can be calculated rather than guessed. ## Where we apply it - [Logistics and ports](https://www.buildresil.com/sectors/logistics-ports): Plan around storms, closures and congestion before cargo is late, with digital twins and early warning. - [Manufacturing and procurement](https://www.buildresil.com/sectors/manufacturing-procurement): Diversify suppliers, redesign procurement and optimize sourcing across countries and risks. - [Energy and infrastructure](https://www.buildresil.com/sectors/energy-infrastructure): Energy systems that perform in every season, from analysis and procurement to implementation. - [Housing and communities](https://www.buildresil.com/sectors/housing-communities): Healthier, more efficient homes, from 40-home assessments to a community's first net zero home. - [Public sector and health](https://www.buildresil.com/sectors/public-sector): Early warning and governed decision support for public bodies, where decisions must be explained. Ready to look at your supply chain? [Talk to us](/contact). ## Questions people ask ### How can a supply chain be made more resilient? Start by modelling the whole chain, including suppliers, routes, stock and contracts, then test it against realistic disruptions and optimize for plans that perform well across many futures, not just the most likely one. Diversify suppliers where a single point of failure would be costly. ### What is stochastic optimization in supply chains? Stochastic optimization plans with uncertainty built in. Instead of one forecast, it considers many possible outcomes for demand, prices, lead times and risks, and searches for decisions that hold up across them. We enhance it with genetic algorithms to avoid settling on a local optimum. ### Can procurement changes really cut costs by 30%? In one engagement, yes. A tailored procurement framework for a public social housing organization onboarded new energy-efficient suppliers and removed unnecessary intermediaries, cutting procurement costs by 30% while upholding technical, warranty and ESG standards. --- Building Resilience (BuildResil) · 226-386-4343 · SupplyChain@buildresil.com · https://www.buildresil.com # Logistics and ports > Digital twins, early warning and decision support for logistics and ports, to plan around storms, closures and congestion before cargo is late. URL: https://www.buildresil.com/sectors/logistics-ports Last updated: 2026-11-01 Weather, congestion and closures hit logistics first. A digital twin lets you see the impact and re-plan before it lands. ## The problem **Logistics networks and ports run on tight schedules that weather, congestion and closures can break within hours.** Most plans assume normal conditions; the cost comes from reacting late. ## What we model - Berths, cranes, yards, gates and transport links, with their limits (for example, cranes stop above a wind threshold). - Arrivals, dwell times, stock positions and onward connections. - Disruptions: weather, closures, equipment and power failures, demand surges. ## What you get - A [digital twin](/digital-twins) that shows today's state and tests "what if" before it happens. - [Early warning](/ai) that flags unusual delays or patterns early. - [Robust plans](/decision-support) for arrivals, stock and routing that hold across many possible futures. - Structured shipping and customs documents through [MaiMai](/products/maimai). ## Evidence behind the approach Our stochastic optimization with genetic algorithms was built for multi-step supply chains across countries, currencies and risks, and our early warning method flagged an unusual spike weeks before official reports. [Read the case](/experience/algorithms-for-resilience). ## Questions people ask ### How can a port or logistics operator prepare for storms? Combine forecasts with a model of the operation, such as cranes, berths, yard and gates, to see in advance which assets will stop or slow and by how much, then re-sequence arrivals, move stock or shift work before the event. --- Building Resilience (BuildResil) · 226-386-4343 · SupplyChain@buildresil.com · https://www.buildresil.com # Manufacturing and procurement > Supplier diversification, procurement design and supply chain optimization for manufacturers, backed by a framework that cut procurement costs by 30%. URL: https://www.buildresil.com/sectors/manufacturing-procurement Last updated: 2026-11-01 Single-source dependencies and volatile markets turn small shocks into stopped lines. We help you see the exposure and fix it. ## The problem **Manufacturers often depend on a few suppliers, sometimes in one region, and only discover the risk when a part stops arriving.** Procurement rules can also lock out capable new suppliers. ## What we do - **Supplier risk and diversification:** map dependencies, model failures and qualify alternatives, with [MaiMai](/products/maimai) to find and compare suppliers. - **Procurement frameworks:** open sourcing to capable new suppliers while keeping technical, warranty and ESG standards. - **Sourcing optimization:** stochastic optimization with genetic algorithms across countries, currencies and risk factors. ## Evidence - **30% lower procurement costs** for a public social housing organization buying energy-efficient systems. [Read the case](/experience/social-housing-procurement). - **Domestic can be safer:** our optimization found that for some businesses, concentrating on domestic markets reduces risk and gives better long-term outcomes. [Read more](/experience/algorithms-for-resilience). ## Questions people ask ### How can a manufacturer reduce supplier risk? Map critical parts to suppliers and regions, model what happens when each fails, then qualify alternatives where the exposure is highest. For some businesses, concentrating on domestic suppliers and markets reduces risk more than chasing the lowest unit price abroad. --- Building Resilience (BuildResil) · 226-386-4343 · SupplyChain@buildresil.com · https://www.buildresil.com # Energy and infrastructure > Energy system implementation, analysis and supply for renewables, heat pumps and infrastructure, so systems perform in every season. URL: https://www.buildresil.com/sectors/energy-infrastructure Last updated: 2026-11-01 Energy and infrastructure have to work through winter storms and summer peaks. We help design, source and implement systems that do. ## What we do in energy and infrastructure **Building Resilience guides energy and infrastructure projects from early design through deployment, with analysis, procurement and implementation that make systems perform as intended in real conditions.** - **Energy system implementation:** renewable energy, efficiency upgrades and infrastructure projects aligned with environmental, operational and financial requirements. - **Energy analysis:** building systems, consumption patterns, carbon impacts and indoor conditions, with practical, actionable outcomes. - **Renewables integration:** solar, heat pumps and energy recovery systems designed around demand and building performance. - **Policy and funding:** work within energy programs, funding frameworks and compliance requirements. - **Supply and procurement:** reliable, appropriate sourcing and logistics for energy projects. ## Evidence - A study of 40 homes and community buildings that led to a First Nations community's first net zero home. [Read the case](/experience/net-zero-first-nation). - A procurement framework for energy-efficient systems that cut costs by 30%. [Read the case](/experience/social-housing-procurement). ## Questions people ask ### What does Building Resilience do in energy? We guide energy projects from early design through deployment, analyse buildings and systems for inefficiencies and performance gaps, integrate renewables such as solar, heat pumps and energy recovery, and support procurement and supply for those projects. --- Building Resilience (BuildResil) · 226-386-4343 · SupplyChain@buildresil.com · https://www.buildresil.com # Housing and communities > Housing assessment, air quality, net zero and procurement for social housing and First Nations, rural and remote communities. URL: https://www.buildresil.com/sectors/housing-communities Last updated: 2026-11-01 Resilient homes are dry, warm, well ventilated and affordable to run. We help communities and housing providers get there. ## What we do for housing **Building Resilience assesses homes and community buildings, fixes what makes them unhealthy or costly, and helps housing providers buy better systems at lower cost.** - **Home and building assessment:** building systems, energy use, carbon, indoor air quality and moisture. - **Air quality and ventilation:** dehumidification and ventilation that end mould and draughts. - **Net zero pathways:** heat recovery ventilation, heat pumps and solar, integrated as one system. - **Accessible testing:** we are creating an air-leak process for rural and remote areas where blower door tests are impractical. - **Procurement for housing providers:** frameworks that bring in energy-efficient suppliers and cut costs. ## Evidence - **First net zero home:** a study of 40 homes and community buildings with a First Nations community, with hands-on training that left an energy coordinator and interns in leadership roles. [Read the case](/experience/net-zero-first-nation). - **30% lower procurement costs** for a public social housing organization. The market has about 4.4 million social housing homes, among the oldest and least efficient. [Read the case](/experience/social-housing-procurement). ## Questions people ask ### How do you improve air tightness testing in remote communities? Blower door tests need expensive equipment and skilled technicians that are hard to bring to rural and remote areas. We are creating an alternative process with flexible technology and intuitive software that focuses on finding and fixing air leaks rather than measuring ACH50. --- Building Resilience (BuildResil) · 226-386-4343 · SupplyChain@buildresil.com · https://www.buildresil.com # Public sector and health > Early warning analytics, governed decision support and procurement for public bodies, including an algorithm that flagged a January 2020 spike in UK deaths. URL: https://www.buildresil.com/sectors/public-sector Last updated: 2026-11-01 Public bodies need to see emerging problems early and explain every decision. We build for both. ## What we do for the public sector **Building Resilience gives public bodies early warning of emerging problems and decision support they can explain, with governance and privacy built in.** - **Early warning and anomaly detection** for health, services and operations data. - **Procurement design** that opens markets to capable suppliers while meeting standards. - **Decision support** with traceable reasoning, human oversight and clear accountability. See [Governance](/governance). ## Evidence - An early warning algorithm that flagged a significant spike in deaths in early January 2020, weeks before the first official COVID-19 case in the UK. [Read the case](/experience/algorithms-for-resilience). - A procurement framework that cut a public social housing organization's procurement costs by 30%. [Read the case](/experience/social-housing-procurement). ## Questions people ask ### Can early warning analytics help public health? Yes. Our early warning algorithm, applied to mortality data, identified a significant spike in deaths in early January 2020, weeks before the first official COVID-19 case was reported in the UK, giving quantitative evidence of the virus's early impact. --- Building Resilience (BuildResil) · 226-386-4343 · SupplyChain@buildresil.com · https://www.buildresil.com # Optimizing Procurement for Public Social Housing: Enhancing Sustainability and Efficiency > A tailored procurement framework for a public social housing organization that brought in new energy-efficient suppliers and cut procurement costs by 30%. URL: https://www.buildresil.com/experience/social-housing-procurement Last updated: 2026-11-01 A tailored procurement framework brought in new energy-efficient suppliers and cut procurement costs by 30%. ## Summary **A tailored procurement framework for a public social housing organization that brought in new energy-efficient suppliers and cut procurement costs by 30%.** ## The story Building Resilience recently collaborated with a public social housing organization to transform its procurement processes for energy-efficient systems. This initiative aimed to reduce the carbon footprint of housing stock while achieving significant cost savings and building a more resilient supply chain. Through an innovative and collaborative approach, the project is driving progress in sustainability and public sector procurement. The organization, which provides bulk purchasing power for a large number of social housing units, sought to prioritize energy-efficient technologies with substantial climate benefits. These included systems for power generation, heat pumps for space conditioning, and water heating. However, the traditional procurement framework limited the market to well-established suppliers, often excluding smaller, innovative players whose products and corporate ethos aligned with the organization’s goals. Building Resilience helped bridge this gap by creating a tailored procurement framework designed to identify and onboard new suppliers. These suppliers, while often constrained by limited resources or market knowledge, offer desirable solutions that align with environmental, social, and governance (ESG) priorities. Through this process, we assessed potential suppliers, identified capability gaps, and provided targeted support to overcome barriers—ranging from trade compliance and logistics to product certification and technical modifications. A robust framework ensured visibility and efficiency across all steps of the procurement process, from information flows to the logistics chain. This iterative process involved close collaboration with both the client and suppliers, addressing customer needs while understanding the manufacturing capabilities and limitations of new entrants. In cases where solutions proved unattainable, the focus shifted seamlessly to alternatives, saving valuable time and resources. The outcomes have been transformative. By streamlining supply chains and removing unnecessary intermediaries, procurement costs have been reduced by 30%. Suppliers can focus on delivering what the client values most, avoiding costly and unnecessary features or services. Additionally, the overall cost of supplier acquisition has dropped, and order fulfillment timelines have been significantly accelerated. Critical to the process was ensuring that all technical standards were met, warranty support was robust, and ESG criteria were upheld to the highest standards. Experienced engineers conducted site visits to assess production quality, while past performance and long-term reliability were carefully evaluated. These measures not only ensured high-quality products but also aligned with the client’s commitment to sustainability and ethical sourcing. Although it is still early to quantify the full operational impact, the initiative has already laid a foundation for significant carbon reductions through energy-efficient technologies. Low-impact transportation methods have further minimized environmental effects, reinforcing the project’s alignment with the organization’s sustainability objectives. In the broader context, this market has approximately 4.4 million social housing homes. By implementing energy-efficient technologies across such a vast number of dwellings, there is significant potential to reduce the nation’s overall carbon footprint, enhance living conditions for residents, and contribute to national sustainability targets. This housing stock is among the oldest and least energy-efficient, making initiatives like this critical for improving energy efficiency and reducing fuel poverty. Through strategic procurement and collaboration, Building Resilience and its partners are not only achieving immediate benefits for individual organizations but also contributing to broader societal goals of sustainability and energy efficiency. This approach serves as a model for other public sector entities aiming to optimize their procurement processes and make a positive environmental impact. ## Why it matters This work supports the development of systems that integrate procurement, logistics, and decision-making in complex and regulated environments. ## Questions people ask ### How were procurement costs cut by 30%? By creating a procurement framework that identified and onboarded new energy-efficient suppliers, supported them through compliance, logistics and certification, and removed unnecessary intermediaries, while upholding technical, warranty and ESG standards. --- Building Resilience (BuildResil) · 226-386-4343 · SupplyChain@buildresil.com · https://www.buildresil.com # Innovating for Resilience: Algorithms and Practical Solutions for a Changing World > An early warning algorithm that detected an unusual spike in UK deaths weeks before the first reported COVID-19 case, plus supply chain optimization and… URL: https://www.buildresil.com/experience/algorithms-for-resilience Last updated: 2026-11-01 An early warning algorithm that flagged a January 2020 spike in UK deaths, stochastic optimization for global supply chains, and accessible air-tightness testing. ## Summary **An early warning algorithm that detected an unusual spike in UK deaths weeks before the first reported COVID-19 case, plus supply chain optimization and accessible air-tightness testing.** ## The story At the forefront of technological development, Building Resilience is pioneering solutions that address uncertainty and inefficiency in diverse sectors. From advanced algorithms to practical tools for rural communities, our innovations are designed to tackle real-world challenges and create sustainable, impactful results. One such advancement is our early warning algorithm, developed to detect sudden departures from established patterns in datasets. Initially applied to mortality data, this tool identified a significant spike in deaths in early January 2020—weeks before the first official case of COVID-19 was reported in the UK. While anecdotal reports hinted at earlier outbreaks, the algorithm provided quantitative evidence of the virus’s early impact. Beyond public health, this technology has vast potential applications. It can be deployed to monitor anomalies in sales, criminal activity, production processes, or other systems where early detection could minimize risks and maximize opportunities. By analyzing historic data to establish normal patterns and random variation, the algorithm equips decision-makers with actionable insights, reducing uncertainty in high-stakes environments. In the realm of supply chain optimization, Building Resilience has developed a stochastic optimization approach enhanced by genetic algorithms. This tool is particularly effective for industries with complex, multi-step supply chains that span multiple countries, currencies, and risk factors. By avoiding the pitfalls of focusing solely on local optima, the algorithm explores alternative assumptions, ensuring robust solutions. A novel finding from this work revealed that for some businesses, concentrating on domestic markets can mitigate risks and yield better long-term outcomes than pursuing volatile international opportunities. We also focus on developing practical, client-driven solutions. For example, current methods to measure a building’s air tightness—such as blower door tests—are often impractical for rural and remote areas due to expensive equipment and the need for skilled technicians. In response, we are creating an alternative process using flexible technology and intuitive software. This approach emphasizes identifying and eliminating air leaks rather than measuring metrics like ACH50, making it more accessible for First Nations, rural, and remote communities. By addressing draftiness, these solutions enhance comfort and reduce heating costs, often in areas with colder climates and limited resources. Our approach to innovation is rooted in collaboration. Whether identifying barriers to adoption for a client’s technology or co-developing solutions to specific challenges, we prioritize practical outcomes. For example, we partnered with a client to repurpose an algorithm designed for detecting subsurface cracks in nuclear reactors, identifying alternative applications with more urgent market demand. By combining business and technical expertise, we ensure that the solutions we develop are both effective and broadly applicable. Building Resilience’s focus on appropriate technology bridges gaps in accessibility, affordability, and practicality. From enabling earlier responses to emerging crises to providing tools that improve daily living, our innovations are shaping a more resilient and sustainable future for all. ## Why it matters This work underpins the development of AI-enabled decision support systems that detect patterns, reduce uncertainty, and support governed decision-making. ## Questions people ask ### How early did the algorithm detect the COVID-19 signal? Applied to mortality data, it identified a significant spike in deaths in early January 2020, weeks before the first official COVID-19 case was reported in the UK. ### What did the supply chain optimization find? For some businesses, concentrating on domestic markets can reduce risk and give better long-term outcomes than pursuing volatile international opportunities. --- Building Resilience (BuildResil) · 226-386-4343 · SupplyChain@buildresil.com · https://www.buildresil.com # A Journey to Net Zero: Building Resilience for Future Generations > A detailed study of 40 homes and community buildings in a First Nations community, leading to the community’s first net zero home and lasting local capacity. URL: https://www.buildresil.com/experience/net-zero-first-nation Last updated: 2026-11-01 A detailed study of 40 homes and community buildings led to the community’s first net zero home and lasting local capacity. ## Summary **A detailed study of 40 homes and community buildings in a First Nations community, leading to the community’s first net zero home and lasting local capacity.** ## The story Rooted in their traditions as a First Nations community, they embrace the responsibility to act as guardians for the interconnected systems of nature—giving voice to the animals, plants, and land that are integral to their environment. Partnering with Building Resilience, they embarked on a transformative journey to achieve net zero energy usage while increasing the resilience and sustainability of their homes and community buildings. At the heart of this initiative was a detailed study of 40 homes, each assessed for its building systems, environmental compatibility, energy consumption, carbon emissions, and indoor air quality. The findings revealed significant challenges: humid conditions from a high water table, frequent power outages during storms that led to basement flooding, and construction practices that did not meet code, contributing to poor air quality and increased energy costs. Recognizing that these issues extended beyond individual homes, the initiative also addressed energy conservation opportunities in community buildings. By resolving past design flaws, these spaces were made more durable, usable, and energy-efficient—enhancing their role as vital hubs for gatherings and services within the community. Simple yet impactful interventions began to make an immediate difference. In one home, a dehumidifier was installed in a crawl space, eliminating a pervasive mold issue. In another, an aging furnace filter clogged with dust underscored the need for improved air quality measures. The community’s first net zero home—equipped with a heat recovery ventilator (HRV), heat pump, and solar panels—showcased a holistic approach to sustainability. Improved ventilation addressed a critical challenge, while energy-efficient systems demonstrated the possibilities for a healthier, more resilient future. The approach focused on empowerment through engagement. Rather than relying on classroom learning, the team adopted hands-on training and one-to-one mentoring, reflecting the community’s preference for “learning by doing.” Participants gained practical skills and a deeper understanding of the benefits of energy efficiency and home resilience. The outcomes were profound. High-humidity homes now have dehumidifiers, reducing mold risks and improving air quality. Participation in energy support programs increased, while the pilot net zero home set a new standard for future developments. Beyond immediate gains, the initiative also created lasting capacity within the community. An energy coordinator and interns have taken on leadership roles, growing their technical and non-technical skills. The community’s perspective on net zero has evolved. Initially focused on solar energy production, they now see sustainability as a broader vision encompassing air quality, resilience, and durability. Their journey is far from over, but each step brings them closer to a future where their role as stewards of the natural world is reflected in the harmony between their environment, homes, and community buildings. > “Thank you for your help and making my home safer.” — Homeowner ## Why it matters This work informs the design of practical decision support systems for housing, energy, and community resilience in real-world environments. ## Questions people ask ### What did the First Nations net zero project achieve? It assessed 40 homes and community buildings, installed dehumidifiers that reduced mould in high-humidity homes, built the community's first net zero home with a heat recovery ventilator, heat pump and solar panels, and trained an energy coordinator and interns who took on leadership roles. --- Building Resilience (BuildResil) · 226-386-4343 · SupplyChain@buildresil.com · https://www.buildresil.com # MaiMai (Maimai Supply) > MaiMai, from ClarityAILab, turns supply chain documents into structured data and runs sourcing and purchasing workflows with approvals and audit trails. URL: https://www.buildresil.com/products/maimai Last updated: 2026-11-01 Remove the busywork from your supply chain, without replacing your existing systems. ## What is MaiMai? **MaiMai is supply chain AI from [ClarityAILab](https://www.clarityailab.com/clarity-enterprise), Building Resilience's AI lab. It turns operational documents into structured data and runs sourcing and purchasing workflows, with approvals, supplier records and audit trails built in.** It is offered as Clarity Enterprise. Most operational work follows the same pattern: documents arrive, people interpret them, decisions are made, workflows begin. MaiMai automates the most time-consuming parts so teams can focus on decisions. ## What can teams do with it? | Workflow | What MaiMai does | |---|---| | Documents, PDFs and photos into data | Extracts and structures operational data from invoices, packing lists, spreadsheets and images, ready for analysis or export. | | RFQs and RFPs | Generates structured sourcing documents with clear requirements and evaluation criteria; organizes supplier responses for comparison. | | Find and qualify suppliers | Compares suppliers by capability, geography and certifications to diversify the supply base. | | Is this RFP or grant worth pursuing? | Highlights eligibility requirements, risks and gaps before you commit time. | | Proposal and grant responses | Drafts responses from your previous proposals and documentation. | | Small operational purchases | Fast purchases from approved suppliers that still follow approval workflows and stay traceable. | | Trade and customs documents | Structures shipment information from invoices and packing lists for declarations and compliance. | Across these, MaiMai links bid, purchase order, delivery and invoice for traceability and tracks supplier performance at item level. ## Why it matters for resilience Disruption shows up first in documents: a late shipment notice, a changed price, a supplier that cannot certify. When that information is structured as it arrives, it can feed early warning, [digital twins](/digital-twins) and [decision support](/decision-support) instead of waiting in an inbox. ## Governance first - AI supports human decisions; it highlights insights, requirements and risks without removing oversight. - Approval gates, supplier records and audit trails keep decisions transparent and accountable. - Works with existing systems; no migration required. Learn more or book a demo on [ClarityAILab's Clarity Enterprise page](https://www.clarityailab.com/clarity-enterprise), or [ask us](/contact) how it fits a wider supply chain project. ## Questions people ask ### What is MaiMai? MaiMai (Maimai Supply) is supply chain AI developed by ClarityAILab, Building Resilience's AI lab, and offered as Clarity Enterprise. It structures operational information from documents, evaluates opportunities and suppliers, and runs sourcing and purchasing workflows with governance built in. ### Does MaiMai replace our ERP or procurement system? No. MaiMai works with the tools you already use and needs no migration. Extracted data and workflows integrate with existing processes. ### Where do teams usually start with MaiMai? Most organizations begin with one workflow, such as document processing or supplier sourcing, and expand to other operational areas over time. --- Building Resilience (BuildResil) · 226-386-4343 · SupplyChain@buildresil.com · https://www.buildresil.com