Research area
Self-improving AI startups
Systems that run the experiments: AI that does AI research, recursive self-improvement. We track 14 labs in this area, which have raised $2.05B in disclosed rounds between them; the most valuable is Ineffable Intelligence, at $5.1B.
14labs
$2.05Bdisclosed raised
$11Breported valuations
| Lab | Topic | Location | Founders from | Founded | Last round | Valuation | Raised | Status |
|---|---|---|---|---|---|---|---|---|
| Ineffable IntelligenceSuperlearner AI that learns from experience through reinforcement learning rather than hum…site | Self-improving AI & automated research | London, UK | ex-Google DeepMind, ex-InstaDeep | 2026 | Seed $1.1BApr 27, 2026 · Sequoia, Lightspeed | $5.1B | $1.1B | Research only |
| Recursive SuperintelligenceAI that automates model architecture, training, evaluation and research direction: recursi…site | Self-improving AI & automated research | San Francisco, US | ex-Salesforce, ex-Meta, ex-Google DeepMind, ex-OpenAI, ex-Cresta | 2026 | Seed $650MMay 13, 2026 · GV (Google Ventures), Greycroft | $4.65B | $650M | Research only |
| MirendilSelf-improving AI for scientific R&D: a system that builds systems, sold as a research pla…site · in | Self-improving AI & automated research | San Francisco, US | ex-Anthropic, ex-xAI, ex-MIT | 2026 | Seed $200MJun 26, 2026 · Andreessen Horowitz, Kleiner Perkins | $1B | $200M | Research only |
| Core AutomationThe world's most automated AI lab: Ceres, a continual-learning model that updates its weig…in | Self-improving AI & automated research | San Francisco, US | ex-OpenAI, ex-Google DeepMind | 2026 | · | $4Best. | · | Stealth |
| EngramA learned memory layer that needs 100x fewer tokens. | Self-improving AI & automated research | San Francisco, US | ex-Stanford, ex-Cornell, ex-Columbia, ex-UC Berkeley | 2026 | · | $600Mest. | · | Stealth |
| TrajectoryA continual-learning layer trained on agent trajectories.site · x | Self-improving AI & automated research | San Francisco, US | ex-Windsurf, ex-Google DeepMind, ex-Stanford | 2026 | · | $115Mest. | · | Stealth |
| Adaption LabsAdaptation beats scale: smaller models that keep learning on the fly, gradient-free contin…site | Self-improving AI & automated research | San Francisco, US | ex-Cohere | 2025 | Seed $50MFeb 4, 2026 · Emergence Capital | · | $50M | Research only |
| AutoscienceAutonomous AI scientists that automate the end-to-end research pipeline.site · x · in | Self-improving AI & automated research | San Mateo, US | ex-Google DeepMind | 2025 | · | · | · | Research only |
| CursiveAdaptive software and agents that improve from use. | Self-improving AI & automated research | London, UK | ex-Google DeepMind, ex-NYU | 2026 | · | · | · | Stealth |
| Discovery LoopAutomating the scientific method, from four of Google's most senior researchers. | Self-improving AI & automated research | Palo Alto, US | ex-Google DeepMind | 2026 | · | · | · | Stealth |
| InherentAI-native science: research agents that decide which scientific questions are worth asking…site · x · in | Self-improving AI & automated research | London, UK | ex-Google DeepMind, ex-Microsoft | 2026 | Seed $50MMay 27, 2026 · Index Ventures, Radical Ventures | · | $50M | Research only |
| NeoCognitionAgents that learn a world model of work, from the Mind2Web and SeeAct team. | Self-improving AI & automated research | Palo Alto, US | ex-Ohio State, ex-Microsoft | 2025 | · | · | · | Research only |
| Oak LabA trillion-parameter continual-learning agent on 20 watts, from the reinforcement-learning… | Self-improving AI & automated research | Toronto, CA | ex-Google DeepMind, ex-Alberta | 2026 | · | · | · | Stealth |
| PoetiqModel-agnostic self-improving reasoning; 'the fastest path to superintelligence via practi…site · x · in | Self-improving AI & automated research | Mountain View, US | ex-Google DeepMind | 2025 | · | · | · | Research only |
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