Globeholder AI

[ Platform · Thinking Lab™ ]

An agentic AI platform for physical infrastructure decisions.

An orchestrator intelligence layer plans each investigation and directs specialist agents. The agents reason in multiple steps over a physical world model, and every step is verified against physics before it counts.

[ Architecture ]

One orchestrator. Specialist agents. A world model underneath.

Agents call tools and data from orbit to street. What they learn returns as memory for the next run.

Tools and data the agents call

  • Satellite imagery providers
  • GIS platforms & layer services
  • AutoCAD · BIM / IFC files
  • Weather & climate forecasts
  • Digital elevation models
  • Grid & parcel data APIs
  • Custom MCP connections

Agent runtime

Orchestrator intelligence layer

plans · dispatches · verifies · binds evidence

Orchestration loop

  • Plan

    Breaks the question into testable physical hypotheses.

  • Dispatch

    Assigns each test to the right specialist agent.

  • Verify

    Checks results against thresholds, units and physics.

  • Bind

    Attaches evidence to the claim, then replans.

Specialist agents

  • Siting agent
  • Grid agent
  • Hydrology agent
  • Climate risk agent
  • Structural & seismic agent
  • Permitting agent
  • Economics agent

Grounded on the physical world model

  • Terrain
  • Hydrology
  • Weather
  • Subsurface
  • Grid
  • Parcel
  • Land cover
  • Cost

Verified output

  • Sourced, custom-designed report

    every claim traced to a layer and a date

  • Ranked options

    with confidence intervals

  • Company & project memory

    key findings retained as reusable know-how

  • User memory

    guidance and speed on the next run

Memory feeds the next plan

[ The world model ]

What the agents know: one physical model of the planet.

Language models learned from text. Our agents reason over 2,000+ datasets fused into one physical frame, so when one condition changes, a deeper flood or a fuller substation, they see how it ripples through everything else.

Thinking Lab reasons over the planet itself.

SATELLITE · IMAGERYLAND COVERTERRAIN · ELEVATIONHYDROLOGY · FLOODWEATHER · FORECASTFINANCIAL · COSTPARCEL · CADASTREGRID · INFRASTRUCTURESUBSURFACE · GEOLOGY
  1. 01Satellite · imagery
  2. 02Land cover
  3. 03Terrain · elevation
  4. 04Hydrology · flood
  5. 05Weather · forecast
  6. 06Financial · cost
  7. 07Parcel · cadastre
  8. 08Grid · infrastructure
  9. 09Subsurface · geology

[ Agentic vs physical ]

An agent calls tools. Thinking Lab runs physical tests.

The same step from the Grand Est run, done two ways. The difference is what makes the answer defensible.

A generic AI agent

Search
“Grand Est grid capacity data centre”
Read
Finds articles saying the region has strong grid connections.
Answer
“Mulhouse has good grid access.”

Plausible. Not measured, not testable, not traceable.

Thinking Lab

Hypothesis
The site can take 1.8 GW of demand.
Test
400 kV network headroom ≥ 1,800 MW, computed on the grid and infrastructure layer.
Evidence
1,800 MW freed by the Fessenheim decommissioning, still connected at 400 kV.
Verdict
Pass. Site continues to the flood test with its source layer and date attached.

Measured, tested against a threshold, traceable to the data.

[ Memory ]

Every run leaves key findings behind, captured as memory.

  • ROI boundary 47.4–49.6° N
  • CRS: WGS 84 assumed
  • Grid headroom 1.8 GW
  • RP100 flood — 9 rejected
  • Cost basis €/MW · 2026

PROJECT
MEMORY

  1. Organisation

    Company and project know-how compounds

  2. Next project

    Starts ahead: faster, better guided

Memory graph

every finding, one node

You

trace any node to its links

[ The workspace ]

Your team and its agents, in one workspace.

Delegate to the agents in chat, follow their reasoning, and receive sourced reports. Projects are shareable and org-scoped: chats, knowledge and instructions in one place.

platform.globeholder.ai — Hyperscale Data Centre Siting Analysis
Thinking Lab workspace: map layers of ranked data centre sites in Grand Est, a chat about the Fessenheim grid zone, and a sourced suitability report

Example projects

  • Active18 chats

    Data Centre Siting

  • Active9 chats

    Transmission Routing

  • Active26 chats

    Construction Programme

  • Active7 chats

    Solar Portfolio Screening

  • Active4 chats

    Flood Exposure Review

  • Active3 chats

    Terminal Feasibility

  • Sharing and access

    Share each project with named people or your whole organization.

  • Auditable reports

    Every step logged with its test and time, so any conclusion can be retraced.

  • Bring your own data

    Custom MCP connections, your GIS platform login, and grid and parcel APIs.

  • Confidence intervals

    Rankings show how sure the model is, and why.

  • Unlimited scenarios

    No per-query metering. Test every assumption as often as needed.

  • One insight pack

    Report, tables, charts and maps delivered together, ready for committee.

[ Integrations ]

Seamless connection to ArcGIS and AutoCAD.

  • ArcGISMCP
  • AutoCADMCP
Thinking Lab layout design: a 30 MW solar PV layout with PV tables, inverter blocks, an on-site substation and the gen-tie route, delivered as AutoCAD DXF
ArcGIS layers in layout design AutoCAD DXF out

Bring us your hardest infrastructure decision.

We'll put the agents on it, live with your team, and show you a complete, defensible answer.

Request a demo