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 |
| 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 |
| 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 |
| 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 |
How we work
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 turns invoices, packing lists and supplier files into structured data.
Simulate
We turn that model into a digital twin and run it against the disruptions that matter to you: weather, demand swings, supplier failures, price and currency moves.
Decide
We use optimization under uncertainty 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 chainSourcing, procurement design, supplier onboarding and network optimization.
- AIEarly warning and anomaly detection, forecasting, and document AI, with governance built in.
- Digital twinsLiving models of supply networks, ports, sites and portfolios to test "what if" before it happens.
- Decision supportRobust decisions under uncertainty, from scenario design to the dashboards leaders use.
- GovernanceAccountability, transparency, human oversight and privacy from the start.
Sectors we work in
- LogisticsLogistics and portsPlan around storms, closures and congestion before cargo is late, with digital twins and early warning.
- ManufacturingManufacturing and procurementDiversify suppliers, redesign procurement and optimize sourcing across countries and risks.
- EnergyEnergy and infrastructureEnergy systems that perform in every season, from analysis and procurement to implementation.
- HousingHousing and communitiesHealthier, more efficient homes, from 40-home assessments to a community's first net zero home.
- Public sectorPublic sector and healthEarly 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, our AI lab. Meet the team.
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.