AI in Action
AI that delivers outcomes you can defend.
Most AI stops at an answer. SustainQ goes further: every number keeps its source, method, factor and review history, so it holds up when a board, assurer or lender asks.
Ingest anything. Trust the number.
Any source, in almost any format. SustainQ reads it, maps it to the right scope, and turns three raw files into one validated Scope 1, 2 and 3 footprint.
Drop in any source. Get a footprint.
Drag and drop your files here
CSV, XLS, PDF, images. Any format.
SustainQ/Ingestion EngineAAdnanPress Upload files. The cursor drops three raw sources into the engine.
Dev preview, evolving as we build. Figures shown are representative.
Bring your own AI assistant.
SustainQ is designed to connect to Claude, ChatGPT or Copilot through MCP. Ask in plain English and the platform does the work, from opening a scenario to modelling the glidepath.
Connected to SustainQ via MCP · Dev preview
SustainQ/Scenario AnalysisAAdnanDev preview, evolving as we build. Figures shown are representative.
See how climate exposes your assets.
Average Annual Loss for every site across its physical hazards. Zoom into a site, switch scenarios to reprice, and colour the map by risk, hazard or value.
SustainQ/Physical Risk EngineAAdnanClick a site to zoom in. Switch scenarios to reprice, change how the map is coloured, or toggle light and dark.
Dev preview, evolving as we build. Figures shown are representative.
The part of AI that actually matters.
Everyone is talking about AI. The hard part is the middle: turning a vision at the top into thousands of correct decisions at the bottom, reliably, every time. The Harness closes that gap. It is not a tool. It is the system that holds our agentic architecture together, and it runs underneath everything we build, including SustainQ.
- Codebases, data and models
- Multi-agent AI analysis
- Hazard, asset and disclosure context
- One bounded unit of work
- Rules and context built in
- Clear hand-offs between sessions
HarnessConfidence at a scale manual review cannot reach- Agents build, critique and verify
- Model council and adversarial checks
- Governance and quality gates
- Testing and acceptance runway
- Trusted execution lanes
- Back-tested and always evolving
Most AI hands you a picture of a car. Some hand you the body and leave you to fit the engine, wiring and wheels. We build the self-driving car that takes you to the destination. Everything included, safe, assured, and at a lower cost. Operable by your own AI agents or through MCP, tested, back-tested and always evolving.