Autoscience, a San Mateo, CA-based machine learning research company, has raised $14 million in seed funding led by General Catalyst.
The round also saw participation from Toyota Ventures, Perplexity Fund, MaC Ventures, and S32.
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The company plans to use the funds to grow its operations and accelerate development.
The company has built a virtual AI lab with non-human AI Scientists and Engineers that can create, test, and deploy advanced machine learning models.
This managed service runs hundreds of automated AI Research Scientists that continuously create and update machine learning models, helping companies discover, test, and deploy better models. The funding will also help Autoscience grow its engineering team to speed up AI research.
For many machine learning teams, the main limit in AI development is no longer data or computing power, but the human ability to create and test ideas at scale. With over 2,000 ML papers published each week, no team can keep up while also advancing their own research. Autoscience solves this with two AI systems: automated scientists that generate and test new algorithm ideas, and automated engineers that optimize and deploy the successful inventions. Its first applications focus on financial services, manufacturing, and fraud detection, enabling companies to obtain the output of a full research team without adding staff.
Autoscience first gained attention when its autonomous lab published the first peer reviewed research paper by an AI system (at the ICLR 2025 workshop). Shortly after, it won a Silver Medal in a Kaggle competition (Kaggle Santa 2025) against 3,300 teams, marking the first time a fully autonomous system placed in a live featured Kaggle event.
“We’ve reached a point where human intuition alone can’t keep up with the complexity of algorithm discovery,” said Eliot Cowan, CEO of Autoscience. “We’ve built a research organization powered by AI systems, aiming to compress a decade of machine learning research into months unlocking new capabilities for scientists and giving our customers a competitive edge.”
“Autoscience is addressing a critical challenge in machine learning: scaling and speeding up experimentation,” said Yuri Sagalov, Managing Director at General Catalyst. “As research output grows, teams need better ways to test, validate, and bring new ideas into production. We’re excited by their progress in advancing autonomous R&D to make this possible.”
About Autoscience
Founded in 2024, by Eliot Cowan, Autoscience is an applied research lab in San Mateo, California. The company creates AI systems that conduct machine learning research, and deploy the results, automating the work of AI researchers and engineers. By combining academic rigor with AI speed, Autoscience helps organizations develop and apply proprietary machine learning breakthroughs. The team is focused on making autonomous AI research the standard for building the world’s best models.
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