10x Science

10x Science builds AI native software for protein characterization, starting with peptide mapping for protein therapeutics. Before a drug candidate can advance to the clinic, scientists must characterize the protein in detail, including its molecular structure and modifications, and 10x Science applies its own models to the mass spectrometry data behind that work. The company states that its platform processes this data up to 10 times faster than current tools, finds signals those tools miss, and works without file conversions. It is aimed at biopharma, biotech and academic laboratories working on protein drug development. According to the founders, the team built new algorithms and a framework that processes terabytes of spectral data at the native binary level, and its models continue to improve as more data is analyzed on the platform. The company describes its models as having deep memory for protein characterization, with the longer term aim of helping scientists understand and engineer biology across the life sciences. The platform is already live with customers in industry and academia, and access is arranged by booking an introductory call through the website. Pricing is not published. The site offers no self serve plans, so cost is set through direct conversation with the company. 10x Science was founded in 2024 by David S. Roberts, Andrew Reiter and Vishnu R. Tejus out of Carolyn Bertozzi's lab at Stanford University, is backed by Y Combinator, and in April 2026 announced a $4.8 million seed round led by Initialized Capital. Although it appears in this directory's coding category, it is scientific analysis software, not a developer tool.