Engineering teams
From first site visit to a buildable design.
- Site assessment & feasibility
- Corridor & route alignment
- Hydrology, drainage & flood
- Permitting & compliance
Agentic Superintelligence for
AI and Energy Infrastructure
World model. Physics-based reasoning.
Expert decisions in hours,
not months.
Intelligence layer
- Physical reasoning
- World model
- Verification
- ArcGIS & satellite imagery
- Geo-embeddings
- AutoCAD / BIM
- Weather & climate
- SAP · SharePoint
- Custom MCP
Connected over MCP
15+
enterprises have piloted Thinking Lab across energy, utilities and investment
2,000+
datasets in one physical world model
Every claim sourced
ranked decisions with confidence intervals
Seamless connection
- ArcGISMCP
- AutoCADMCP
Supported by
[ The problem ]
The world needs infrastructure faster than it can make the decisions to build it.
AI and electrification are driving the biggest infrastructure build-out in decades, and demand for power is outpacing supply. Yet every discipline still studies its slice in sequence: geotech, hydrology, climate risk, grid, permitting, finance. Developers, engineers and investors spend months and millions on projects that never get built.
A wrong call on a data centre campus or a transmission route isn't fixed with a software update. It's poured in concrete for forty years.
01The problem
- Geotech
- Hydrology
- Climate risk
- Grid
- Permitting
- Finance
Decision · 6–18 months
What it costs when physical decisions go wrong
$4B write-off
Ocean Wind 1 & 2
12 yrs late
Flamanville EPR
02How we solve it
- Orchestratorplans the tests
- Verificationphysics at every step
- Memoryknow-how compounds
- World model2,000+ datasets
All disciplines at once
03The solution
Decision
One ranked, defensible decision
confidence intervals · every claim sourced
Decided
in hours.
[ Thinking Lab™ · Agentic super-intelligence ]
Turn the hardest physical capital decisions into a decisive, unfair advantage.
Ask what you'd ask your best subject-matter experts. An orchestrator plans the investigation and deploys specialist agents that reason over a world model of the planet with physics-based, multi-step, scientifically backed reasoning. You get a ranked, defensible decision in hours, while others are still commissioning studies.
Not a map. Not a chatbot. Agents that think in physics.
Delegate the question. The agents do the engineering reasoning.
- 01
Delegate
Ask in plain language, with your real constraints: budget, permitting, financing timeline, technical and environmental limits.
- 02
Agents reason and verify
The orchestrator plans a sequence of physical tests and assigns each to a specialist agent. Scientifically backed: a result only counts if it passes.
- 03
Decide with evidence
Ranked options with confidence intervals. Your experts decide with evidence, not assumption.
- 04
Iterate together
Collaborative work with unlimited iteration. Every run adds to project and company memory, guiding the next question.
[ One engine, many decisions ]
From first screen to final capital decision.
Thinking Lab reasons across the life of an infrastructure project. Most teams start by screening what deserves the next round of studies and capital.
- 01
Originate
“Which markets can take 500 MW of new solar by 2030?”
Use case - 02
Site & route
“Rank substation sites by grid headroom and flood risk.”
Use case - 03
Engineer
“Where will drainage and geotech drive design cost?”
Use case - Where most teams start04
Screen & diligence
“Fatal-flaw screen this wind portfolio before field studies.”
Use case - 05
Allocate capital
“Which 3 of these 12 projects deserve the next dollar?”
Use case
[ Sectors ]
One model, both sides of the table.
Investors
Know what’s real before capital is committed.
- Due diligence & fatal-flaw screening
- Origination & market screening
- Business case & capital allocation
- Bankability & lender diligence
[ Where we’re going ]
From assistance to autonomy.
Physical capital decisions should be the first to get true machine reasoning. Here's the path.
Available now
Assist
Agents synthesize evidence and surface risks for engineers and investors to judge.
Available now
Advise
The world model recommends options within real constraints and shows why.
In research
Delegate workstreams
Teams hand whole workstreams, such as site screening, to agents with human sign-off.
Our goal
Autonomous engineering
Agents carry decisions from concept to buildable design, accountable to physics.
Bring us your hardest infrastructure decision.
We'll put the agents on it, live with your team, and show you a complete, defensible answer.