AI FOR SCIENCE · ON THE RECORD
Ricursive Intelligence
An AI lab using AI to speed up semiconductor design across the full stack, so that AI models and the chips they run on improve each other.
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Funding rounds tracked
- 2026-01-26Series A · $300MconfirmedLed by Lightspeed Venture Partners · With DST Global, NVentures (NVIDIA), Felicis, 49 Palms Ventures, Radical Ventures, Sequoia CapitalStated use: scale the research and engineering team; expand compute infrastructure
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The other companies the funding board files under the same field, latest round first. A list of what the record tracks, not a ranking or a market map.
- 2026-10-13Tianxu Intelligent TechnologyPre-A+ · tens of millions of yuanBuilds a weather model for the energy industry (wind speed and solar irradiance rather than general forecasts) with the China Meteorological Administration's public service centre, and is putting the model on satellites of its own to make the observations it trains on.
- 2026-10-13Drylab AISeed · $3MAgents that run computational biology workflows end to end (planning the analysis, choosing among more than 800 tools and databases, getting the compute and working through failures), with a separate model of its own checking each analytical decision and flagging method errors; installed on a customer's private infrastructure or workstations.
- 2026-10-06VinciSeries B · $250MBuilds a physics foundation model with GPU-native solvers that gives engineers solver-accurate thermal, thermo-mechanical and fluid results while a design is still changing, starting with semiconductors.
- 2026-09-30ZenithonSeed · $10MWorld models for extreme physics (fusion reactors, rockets and semiconductor manufacturing) meant to replace simulations that take days to months, starting with fusion customers.
- 2026-09-30Autopoiesis SciencesSeed · $11MBuilds AI for scientific reasoning: Aristotle, a research assistant that helps scientists form hypotheses and weigh evidence, and Columbus-1, an autonomous system for long research problems. It says it builds training environments and datasets from expert scientists' judgment.
- 2026-09-24Metis ReasoningRound (unnamed) · tens of millions of dollarsEarly-stage lab building AI meant to reason and act reliably beyond its training data, naming embodied AI, science and engineering as target fields.
This page compiles what AI4S.fyi has recorded and links each item to its source. It is not a grade of the organization and not its complete history: a blank means the record has not caught up as often as it means nothing happened.