Autoscience secures $14M to bring AI into the lab
California-based startup Autoscience has raised $14 million in funding to develop AI-driven research automation tools designed to transform how laboratories run experiments and analyse data. The round is backed by leading venture firm General Catalyst, signalling growing investor confidence in the use of artificial intelligence to accelerate scientific discovery.
Replacing repetitive research tasks with AI
Autoscience is building software and systems that use AI algorithms to handle large parts of the experimental workflow, from planning and running tests to processing results. Rather than focusing on basic digitisation, the company aims to automate many of the repetitive and time‑consuming tasks traditionally carried out by human researchers in fields such as drug discovery, biotechnology and materials science.
The company’s platform is designed to integrate with modern laboratories, connecting to instruments, robotic lab equipment and data pipelines. By allowing AI systems to execute and iterate on experiments, Autoscience argues that research teams can move from manual trial‑and‑error to continuous, data‑driven optimisation.
Implications for scientists and the R&D workforce
The funding news has drawn attention because of the ambition to effectively “replace” significant portions of human lab work with automation. Rather than eliminating scientists, proponents say the technology will free highly trained researchers from low‑value tasks such as sample handling, routine measurements and basic analysis, allowing them to focus on hypothesis generation, strategic decision‑making and cross‑disciplinary collaboration.
At the same time, the rise of AI-first laboratories raises questions about future skill requirements in research organisations. Demand is likely to grow for professionals who can combine domain expertise with capabilities in data science, machine learning and laboratory informatics.
General Catalyst’s bet on AI-native science
By leading this $14 million round, General Catalyst is reinforcing its thesis that the next generation of scientific breakthroughs will come from deeply integrated AI infrastructure in R&D. With fresh capital, Autoscience is expected to expand its engineering and scientific teams, deepen partnerships with research institutions and scale deployments of its AI‑powered lab platform across the United States and beyond.