For many machine learning teams, the primary bottleneck in artificial intelligence development is no longer compute or data, but the human capacity to create and test new ideas at scale. Just as AI systems have exceeded human performance on competitive chess, programming, and mathematics, we believe that AI systems can outperform human researchers at inventing more capable AI models.
Today, we are proud to announce that Autoscience has raised $14 million in seed funding to break the human bottleneck in AI discovery. Led by General Catalyst, with participation from Perplexity Fund, Toyota Ventures, S32 and MaC Ventures, this capital will accelerate our mission: Automating AI Research and Development.
"I think the biggest thing to watch is this issue of AI systems building AI systems."
Dario Amodei, CEO Anthropic @ Davos 2026
The Automated AI Research Lab
With more than 2,000 machine learning papers published every week, no human research team can effectively evaluate and implement every new breakthrough while advancing their own original hypotheses.
We've built a research organization where the researcher is driven by AI systems. We aim to compress years of machine learning research into months, unlocking new AI capabilities for scientists and building a competitive edge for our customers.
Our managed service deploys hundreds of automated AI Research Scientists that continuously generate and ship improvements to our customers' machine learning models at the same time, enabling companies to discover, test, and serve better models.
Autoscience first gained recognition when its autonomous lab became the first AI system to produce a peer-reviewed scientific research paper (ICLR 2025 workshop). Soon after, its system secured a Silver Medal in a machine learning competition (Kaggle Santa 2025) against 3,300 teams, marking the first time a fully-autonomous system has placed in a featured Kaggle competition.
What's Next?
We're expanding our engineering team and deepening our partnerships with a select group of large enterprises. If your organization is tired of operating with understaffed ML teams or falling behind the curve of model performance, we're here to help you advance your ML models at the speed of AI.
The future of discovery is driven by AI systems. We're excited to be along for the ride.