Self-improving AI that learns from real-world consequences, not reward scores.
Eigenform is a Singapore-based AI research and engineering company (founded 2019 at NUS). We build local, empirically grounded recursive self-improvement systems: models that form hypotheses, test them in code against real data, and retrain on what survived. Our applied work is in geoscience and mineral exploration.
๐ eigenform.ai ยท ๐ป GitHub ยท ๐ Research ยท ๐ @EigenformAI ยท LinkedIn
| Resource | What it is | Link |
|---|---|---|
| Groundtruth Dynamic Benchmark | Geology benchmark built from real exploration reports; answers graded 0โ10 by an independent judge against source-anchored rubrics | Dataset ยท Leaderboard ยท Code |
| Groundtruth submissions | Model and harness results behind the leaderboard. Submit yours here | Dataset |
| Geocluster | Open-source, local-first AI workspace for geological analysis | GitHub ยท Try online |
| Survival is the Only Reward | Self-training without reward functions (negative-space learning) | arXiv:2601.12310 |
We partner with exploration companies and data holders, including AI earn-in joint ventures. Contact: ops@eigenform.ai