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.

01 · Ingestion

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.

Data agnosticAutomatic validationLow effort, high confidence
1
Upload
2
Read
3
Validate
4
Footprint
Try it yourself

Drop in any source. Get a footprint.

PDF
XLSX
CSV

Drag and drop your files here

CSV, XLS, PDF, images. Any format.

SustainTrueSustainQ/Ingestion EngineA

Press Upload files. The cursor drops three raw sources into the engine.

Dev preview, evolving as we build. Figures shown are representative.

02 · AI Control

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.

Plain EnglishAny assistantDrives the platform
MCP
Hi, I'm Claude. Connected to SustainQ over MCP. Ask me to run something, like a scenario analysis.
Ask SustainQ to run a scenario...

Connected to SustainQ via MCP · Dev preview

SustainTrueSustainQ/Scenario AnalysisA
Scenario AnalysisRegion: Australia
Science framework
Target year
Type a year
Reduce by
Type a target
Annual CO₂e
Scope 1Scope 2Scope 3

Dev preview, evolving as we build. Figures shown are representative.

03 · Physical Risk

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.

Every site pricedHazard by hazardScenario tested
SustainTrueSustainQ/Physical Risk EngineA
Portfolio
A$3.15bn
100 sites
Modelled AAL
A$28.3m
0.90% of value
Australian portfolio
SSP2-4.5 · +2.4°C
Lower AALHigher
Reef Gateway
Cairns, Australia
Value
A$29.0m
AAL
A$593k
% of value
2.05%
Hazard contribution
Bushfire
5%
Extreme wind
42%
Extreme heat
20%
Flood
18%
Coastal
15%
This site across scenarios
Net ZeroA$383k · 1.32%
DelayedA$593k · 2.05%
Current PolicyA$861k · 2.97%
Modelled on NARCliM2.0, CCIA, NCRA, Geoscience Australia and CSIRO hazard data. Representative sample portfolio.

Click 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 SustainTrue Harness

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.

Tools + resources
  • Codebases, data and models
  • Multi-agent AI analysis
  • Hazard, asset and disclosure context
Session
  • One bounded unit of work
  • Rules and context built in
  • Clear hand-offs between sessions
SustainTrueHarnessConfidence at a scale manual review cannot reach
Sandbox
  • Agents build, critique and verify
  • Model council and adversarial checks
  • Governance and quality gates
Orchestration
  • 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.