LITHOR AI

The AI geoscientist for subsurface decisions.

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

Watch the 2-minute demo
  • 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.

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

  • Months.

    An independent review of a single field can take 3-4 months.

  • Millions.

    One dry well costs millions. Missed evidence costs more.

  • From scratch.

    Every review starts at zero. Nothing carries over.

Project Assessment

Months of reading, done by agents in minutes.

Send the data room. A team of AI agents works through it in parallel, and you get a first pass the same day.

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
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 against known fields before any map ships.

2:17
See it work

A real data room, reviewed in minutes.

  • Risk summary at a glance
  • Claim-by-claim evidence with page references
  • Data requests for the developer
  • A draft report for expert sign-off