Autoscience Raises $14 Million to Build World's First Autonomous AI Research Laboratory
SAN MATEO, Calif., March 18, 2026 — In a groundbreaking development for artificial intelligence research, Autoscience announced today that it has successfully raised $14 million in seed funding. This significant investment will be used to establish the world's first fully autonomous AI research laboratory, where non-human AI scientists and engineers will independently invent, validate, and deploy state-of-the-art machine learning models.
Funding and Backing from Industry Leaders
The funding round was led by General Catalyst, with additional participation from prominent investors including Toyota Ventures, Perplexity Fund, MaC Ventures, and S32. This strong financial backing underscores the growing interest in autonomous research systems that can accelerate innovation in artificial intelligence. The company's team, which includes former members of GoogleX, MIT, and Harvard, is poised to revolutionize how machine learning research is conducted.
Addressing the Human Bottleneck in AI Development
For many machine learning teams, the primary challenge in AI development is no longer limited to computational power or data availability. Instead, it is the human capacity to create and test new ideas at scale. With over 2,000 machine learning papers published weekly, human research teams struggle to evaluate every breakthrough while advancing their own hypotheses. Autoscience tackles this issue head-on with two core AI systems: automated scientists that ideate and test new algorithmic hypotheses, and automated engineers that optimize and deploy validated inventions into real-world applications.
Proven Success and Early Applications
Autoscience has already demonstrated remarkable achievements in autonomous research. Its system became the first AI to produce a peer-reviewed scientific research paper at the ICLR 2025 workshop. Shortly after, it secured a Silver Medal in the Kaggle Santa 2025 machine learning competition, outperforming 3,300 teams and marking the first time a fully autonomous system has placed in a live, featured Kaggle event.
Strategic Focus on High-Stakes Industries
The company's initial deployments are targeting critical sectors such as high-stakes financial applications, manufacturing, and fraud detection. This approach allows companies to benefit from the output of a fully-staffed research division without the associated headcount, providing a competitive edge in rapidly evolving markets.
Leadership Vision and Future Plans
"We've reached a point where human intuition is no longer enough to navigate the complexity of algorithmic discovery," said Eliot Cowan, CEO of Autoscience. "We've built a research organization where the researchers are AI systems. We aim to compress a decade of machine learning research into months, unlocking new AI capabilities for scientists and forming a competitive edge for our customers."
Yuri Sagalov, Managing Director at General Catalyst, added, "We believe Autoscience is tackling an increasingly important challenge in machine learning: the pace and scalability of experimentation. As research output continues to grow, teams are looking for ways to more efficiently test, validate, and translate new ideas into production systems. We're excited about their progress in advancing autonomous R&D to scale that workflow."
Expansion and Scaling Efforts
The $14 million in funding will be utilized to scale Autoscience's offering to a select group of Fortune 500 and large private companies operating in high-stakes environments. This managed service will deploy hundreds of automated AI Research Scientists that continuously generate and implement improvements to machine learning models simultaneously. Additionally, the capital will support the expansion of Autoscience's engineering team as they accelerate AI research efforts, positioning the company at the forefront of autonomous technological innovation.
