rekursiv.ai
Scale AI scientists whose own breakthroughs accelerate the next.
About rekursiv.ai
We're scaling self-improving AI scientist teams to ideate/experiment/discover, generating new knowledge autonomously. Their discoveries reduced ARC-1/2 costs by 10,000× while maintaining state-of-the-art accuracy and yielded material advances on combinatorial ML problems. We believe that AI is bounded not by compute, but ideas. Scaling to millions of sessions of discovery enables leveraging its own discoveries and presents a novel training source capable of ushering a new era of self-reliant foundational models.
Public traction evidence
Each signal links to the public source used for attribution.
- X
We raised $5M from Y Combinator
We raised $5M from Y Combinator to scale AI scientists whose own breakthroughs accelerate the next.
- LinkedIn
Starting rekursiv.ai with Joshua Dillon
I'm starting a new venture as a co-founder. Joshua V. Dillon and I have formed rekursiv.ai and are building teams of autonomous AI scientists.
- GitHub
GitHub signal from rekursiv-ai/sagent
rekursiv-ai/sagent: Multi-provider, hot self-mutating agent with async REPL CLI (auto-detaching tool calls) and bidirectionally communicating recursive spawn built from a strongly typed Python-first API. (Python).
- GitHub
GitHub signal from rekursiv-ai/configgle
rekursiv-ai/configgle: Type-safe hierarchical experiment configuration using pure Python dataclass factories and dependency injection. (Python).
- GitHub
GitHub signal from rekursiv-ai/priml
rekursiv-ai/priml: ML building blocks for training experiments. (Python).
- GitHub
GitHub signal from rekursiv-ai/sic
rekursiv-ai/sic: Speed is Confidence (Python).
- GitHub
GitHub signal from rekursiv-ai/trackinizer
rekursiv-ai/trackinizer: Centralized agent database for Inquiries (Issues + Artifacts). (Python).
- GitHub
GitHub signal from rekursiv-ai/wesearch
rekursiv-ai/wesearch: Web search, fetch, and paper-research toolkit. (Python).