About | EarthScan

About us

Revolutionizing Discovery with Intelligent Exploration

Unearthing Hidden Insights in Geology with AI

OUR MISSION

Empowering enterprises to achieve operational excellence through AI

Venture with us to redefine subsurface geology using AI, unlocking Earth's resources potential. We're pioneers, collaborating with experts to minimize exploration risk and maximize drilling success. Beyond technology, we empower people, transform industries and unveil new energy horizons. Join our relentless pursuit of excellence.

What we’re about

Ten facets of EarthScan, in a glance

From subsurface AI to renewables, from kernel-level GPU work to a team that ships from five continents — a quick portrait of the company you’re considering working with. Hover any card to pause the rotation.

Methodology
Production-grade AI built for the field, not the demo. Foundation models tuned for subsurface, deployed in the loops operators trust.
Partnerships
Built shoulder-to-shoulder with the people closest to the wellbore — operators, NOCs, and service-side teams in 14 countries.
Subsurface
Models that survive the variability of real subsurface — noisy curves, raster archives, decades-old well logs.
Reach
Deployed where the data is messiest — North Sea operators, deepwater Gulf, Caspian basin, Southeast Asian shelf.
Transition
Subsurface intuition transferring cleanly into the energy transition — geothermal, CCUS, hydrogen storage.
Renewables
Forecasting + asset-optimisation models that respect domain physics, not just minimise loss.
Clean compute
Compute-native, data-native, ready for the grid of 2030 — solar yield prediction with operator-grade precision.
GPU compute
10–50× speed-ups via kernel-level GPU work, not just bigger batches. NVIDIA-native pipelines, end-to-end.
Team
EarthScan engineers ship from Riyadh, Houston, Bangalore, Amsterdam, Calgary — diverse, experienced, deeply technical.
Values
All faiths, all geographies, one mission: AI that explorers actually trust. Integrity over flash, depth over hype.
Methodology
Production-grade AI built for the field, not the demo. Foundation models tuned for subsurface, deployed in the loops operators trust.
Partnerships
Built shoulder-to-shoulder with the people closest to the wellbore — operators, NOCs, and service-side teams in 14 countries.
Subsurface
Models that survive the variability of real subsurface — noisy curves, raster archives, decades-old well logs.
Reach
Deployed where the data is messiest — North Sea operators, deepwater Gulf, Caspian basin, Southeast Asian shelf.
Transition
Subsurface intuition transferring cleanly into the energy transition — geothermal, CCUS, hydrogen storage.
Renewables
Forecasting + asset-optimisation models that respect domain physics, not just minimise loss.
Clean compute
Compute-native, data-native, ready for the grid of 2030 — solar yield prediction with operator-grade precision.
GPU compute
10–50× speed-ups via kernel-level GPU work, not just bigger batches. NVIDIA-native pipelines, end-to-end.
Team
EarthScan engineers ship from Riyadh, Houston, Bangalore, Amsterdam, Calgary — diverse, experienced, deeply technical.
Values
All faiths, all geographies, one mission: AI that explorers actually trust. Integrity over flash, depth over hype.