LITHOR AI

The AI geoscientist for subsurface decisions.

Expert-signed geothermal project assessments, delivered in days, not weeks. Built for lenders, insurers and developers.

  • Every number sourced
  • Physics-checked
  • Expert-signed
Backed by ITU Eurasia Institute of Earth Sciences
Cross-section: isotherms rising along a range-front normal fault in a graben
verified · p.14
contradicts well test
data gap
Fig. 1 - Heat rising along a range-front fault. Illustrative.
The problem

Subsurface risk decides the deal. Reviewing it is still slow.

01
Weeks.

Hundreds of pages, read by hand, before anyone can decide.

02
Millions.

One dry well costs millions. Missed evidence costs more.

03
From scratch.

Every review starts at zero. Nothing carries over.

Project Assessment

Send the data room. Get a signed assessment.

DATA ROOM · 214 documentsREADING · extracting claims
  • Reservoir temperature above 180 °CWell report WR-2 · p.14
  • Sustained flow rate of 85 kg/sFeasibility study · p.37
  • Caprock continuous across the licenceNo source found
  • Fluid chemistry is non-scalingGeochemistry annex · p.6
  • Reinjection capacity confirmedFeasibility study · p.52
Draft report · standard format

Agents do the heavy lifting. A geoscientist has the final word.

The deliverable

A report built for investment committees.

Subsurface AssessmentProject · Western Anatolia
LITHORAI · SAMPLE
1 · RISK SUMMARY
  • Resource temperatureSUPPORTED
  • PermeabilityPARTIAL
  • Fluid chemistrySUPPORTED
  • ReinjectionWEAK
  • Structural modelPARTIAL
  • Data completenessPARTIAL
2 · CLAIMS AND EVIDENCE
CLAIMSOURCESTATUS
Bottom-hole temperature 186 °C at 2,410 mWR-2 · p.14Verified
Productivity index sufficient for 85 kg/sFS · p.37 vs WT-1Contradicts
3 · REGIONAL CONTEXT
Map thumbnail with uncertainty band Fig. 3 - P50 with P05/P95 envelope. Illustrative.
REVIEWED AND SIGNED Senior geoscientist · date

Every report follows the same structure, so committees can compare projects side by side.

  1. 01Risk summary at a glance
  2. 02Claim-by-claim evidence with page references
  3. 03Key risks and missing data
  4. 04The next most valuable measurement
  5. 05Questions to ask the developer
Illustrative P50 prospectivity map with fault traces and ranked targets
  • low → high
  • P50
  • P05 / P95
  • ranked target
Fig. 2 - Regional prospectivity (P50) with uncertainty. Illustrative.
Prospectivity Engine

Know where to look before you drill.

Regional maps that show where geothermal potential is most likely, with uncertainty on every pixel. Part of every assessment, and licensable on its own.

Blind-tested.

Validated against known fields before any map ships.

Why LithorAI

Not just a chatbot.

01

Grounded in physics.

Backed by years of peer-reviewed geodynamics research, not guesswork.

02

Sharper with every project.

Each assessment makes the next one better.

03

Measured, not assumed.

Benchmarked against cases with known outcomes.

04

Agents plus experts.

Agents do the heavy reading. A senior geoscientist signs every report.

BUILT FOR DILIGENCE

Evidence first.

  • Sourced numbers only.
  • Independent of the outcome.
  • Uncertainty stated openly.
Who it is for

For everyone who carries drilling risk.

  • Lenders and funds

    Faster, deeper technical due diligence.

  • Insurers and risk facilities

    Consistent pre-assessment of drilling risk.

  • Developers

    Stronger financing and licence applications.

  • Public programs

    Screening at scale for risk-mitigation funds.

Have a geothermal project under review?

Share a data room and get a pilot assessment. It starts with a 20‑minute call.

Request a pilot