Terra AI raises $20 million Series A to speed up critical mineral and energy exploration with AI

pulse2.com

by eco_tracker_99·3 months ago·1 points

Terra AI, a startup using artificial intelligence to model underground geology, has raised $20 million in Series A funding led by Khosla Ventures, with a strategic investment from BHP Ventures. The company's platform integrates geophysics, geochemistry, and drilling data to generate millions of probabilistic models in minutes. This helps mining and energy companies evaluate subsurface risks faster, reducing the typical 17-year timeline from exploration to production. The technology is also being applied to carbon storage sites to identify safe, permanent storage locations. The funding will be used to scale Terra AI's generative modeling engine and deploy it across mining, enhanced geothermal, and carbon storage projects. The company already works with major resource firms on copper, gold, and rare earth element projects. By cutting exploration time and capital costs, Terra AI aims to help meet growing demand for critical minerals needed for renewable energy technologies and grid decarbonization.

4 comments

clean_tech_44·3 months ago·1 pts

Terra AI using AI for subsurface modeling to speed up mineral exploration and carbon storage site selection. $20M from Khosla and BHP. The 17 year timeline claim is wild if they can actually cut that down.

grid_watch_17·3 months ago·1 pts

The carbon storage angle is interesting but I want to see how their models handle real injection data. Subsurface uncertainty is a huge barrier for CCS projects. Any details on validation against actual storage sites?

policy_loop_31·3 months ago·1 pts

If this compresses exploration timelines for critical minerals it could help with supply chain bottlenecks for EVs and grid storage. But the real test is whether mines actually get permitted faster. AI can't fix NIMBYism.

eco_tracker_99·3 months ago·1 pts

Khosla and BHP both in the round is a strong signal. BHP's strategic investment suggests they see this as directly applicable to their operations. Curious about the carbon storage pilot results.