DEPTH
0 km 1 km 3 km 5 km
Geothermal Intelligence Platform

The Earth holds
infinite heat.
We read it.

Quantrel is the AI intelligence layer for geothermal energy — turning geological raw data into precise well site decisions, optimised drilling, and real-time reservoir performance.

Request early access See the platform
15TW
Accessible geothermal potential globally
$0
Purpose-built software for this sector
60%
Of drilling costs recoverable with better data
The problem

Geothermal is flying blind.

An industry worth trillions operates with spreadsheets, legacy seismic tools built for oil & gas, and geological intuition. That ends now.

No purpose-built software stack
Geothermal developers stitch together tools designed for petroleum, academic GIS platforms, and manual data analysis. Nothing was built for this use case.
Blind site selection costs millions
A dry or underperforming well can cost $10–30M. Current site selection relies on sparse geological surveys and expert guesswork, with no AI synthesis layer.
Seismicity risk is unmodelled in real time
Induced seismicity from injection operations causes project shutdowns and community opposition. Prediction models exist in academia — not in operator workflows.
Reservoir data lives in silos
Well logs, seismic surveys, temperature gradients, and injection data are fragmented across formats and teams. No unified intelligence layer exists to synthesise them.
The platform

Four modules.
One deep intelligence
layer.

Quantrel is the first AI-native software platform built exclusively for geothermal and deep earth energy. It connects geological data to decisions — at every stage of a project's life.

Module 01
GeoSight™
Site Selection
Feed in seismic, gravity, heat flow, and surface geology data. Get ranked drill targets with confidence scores.
  • Multi-layer geological data fusion
  • ML-ranked site scoring with uncertainty quantification
  • Heat gradient and permeability modelling
  • Integration with public geological databases
Module 02
DrillIQ™
Drilling Optimisation
Real-time AI advisory during drilling operations. Reduce NPT, optimise ROP, predict formation hazards before you hit them.
  • Real-time drilling parameter optimisation
  • Formation hazard prediction from LWD signals
  • Bit & BHA performance analytics
  • Geothermal-specific pressure and temperature models
Module 03
ReservoirOS™
Performance Modelling
Continuous reservoir simulation that updates as new well data arrives. From flow testing to 20-year production forecasts.
  • Dynamic numerical reservoir simulation
  • Thermo-hydraulic fracture modelling
  • Production decline analysis and forecasting
  • EGS stimulation design optimization
Module 04
SeisGuard™
Seismicity Prediction
The industry's first real-time induced seismicity forecasting engine — built for injection operations and EGS projects.
  • Real-time microseismic event monitoring
  • Traffic light protocol automation
  • Pore pressure front tracking
  • Regulatory reporting and alert dashboards
Platform preview

What operators actually see.

quantrel.io — ReservoirOS™ · Project Taupo-3 · Live
Reservoir Model
Seismicity
Drilling Ops
Site Intelligence
Team
Reservoir Temp
287°C ▲ 2.3°
Flow Rate
142 kg/s
Seismic Risk
LOW M1.2
Reservoir pressure & thermal output · 90-day rolling
Thermal output Pressure index
How it works

From raw data to
drill decision
in hours.

Quantrel connects to your existing data sources and delivers structured intelligence — not another dashboard.

01
Ingest your geological dataset
Connect seismic surveys, well log archives, gravity and magnetics data, surface heat flow measurements, and injection records — in any format.
02
AI models synthesise and score
Quantrel's geothermal-trained ML models run multi-physics analysis: subsurface temperature gradients, permeability proxies, structural fault mapping, and play fairway scoring.
03
Live reservoir and seismicity tracking
Once drilling begins, SeisGuard™ and ReservoirOS™ track real-time signals and update models continuously — giving your team live operational intelligence.
04
Decision outputs, not just data
Every module delivers structured recommendations: ranked drill targets, optimised drilling parameters, production forecasts, and seismicity risk protocols — ready for your operators.
Why now

The geothermal decade
has begun.

IEA, DOE, and every major energy transition roadmap names geothermal as a critical baseload source. Capital is moving. Software infrastructure is nowhere.

$6B+
DOE Geothermal Rising initiative
The US Department of Energy has committed to a 26x scale of geothermal capacity by 2050, with billions in R&D and deployment funding now flowing.
EGS
Enhanced Geothermal unlocks everywhere
EGS technology removes the geographic constraint. Any location with deep hot rock — which is virtually everywhere — is now a potential site. Software to select and manage these is critical.
0
No purpose-built competitors exist
The entire geothermal industry runs on spreadsheets and oil & gas software repurposed for geothermal. There is no Quantrel yet. The category does not exist. We are building it.
AI
Foundation models can now read geology
Large-scale geological ML models trained on seismic and well log data are now capable enough to power real operational decisions — a threshold crossed only in the last 2 years.
24/7
Geothermal is baseload, not intermittent
Unlike solar and wind, geothermal generates constant power. As grids demand reliable clean baseload, geothermal's value proposition gets stronger every quarter.
↑
Project volume is accelerating fast
New geothermal projects announced globally in 2023–24 exceeded the previous decade combined. Each project needs site intelligence, drilling optimisation, and reservoir management software.
The founder

Who's building this.

KJ
Founder & CEO
Kush Jain
"The Earth has been storing energy for 4.5 billion years. We just need better software to use it."

Kush Jain founded Quantrel with a single conviction: geothermal energy is the most underrated clean energy source on the planet, and the reason it's underrated is that the software infrastructure to use it intelligently simply doesn't exist yet.

He has spent years at the intersection of geoscience data, AI systems, and energy infrastructure — developing a deep view on why the industry's technical bottlenecks are fundamentally a software problem, and why now is the right moment to solve it.

Geothermal developers are technical experts operating with inadequate tools — they deserve software built specifically for their domain.
The biggest risk in deep drilling is the decision made before the drill bit turns. That's where AI has the highest leverage.
The energy transition will be won by sectors that can move fast — and speed requires intelligence infrastructure that doesn't currently exist for geothermal.
kush@quantrel.io LinkedIn quantrel.io
Now accepting pilot partners

Ready to drill
smarter?

We're onboarding geothermal operators, developers, and drilling companies for early access. Get Quantrel before the category is crowded.

Get access
No commitment. Pilot spots limited. Built for serious operators.