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Chemical Copilot for Pharma and Biotech
b12 is an AI copilot that plans how to create and test new molecules for chemists. We're like a GPS for chemistry, helping pharma companies plan the recipes for new drugs, accelerating early-stage drug discovery from years to months. Andres built the first AI agent that can autonomously think and make molecules in a robotic lab, published in Nature Machine Intelligence (750+ citations), and won the best paper award at the NeurIPS AI for Science conference. Zlatko is a 3x National Chemistry Olympiad champion, competed at IChO level, and medicinal chemist who has worked at Roche and leading lab robotics companies. He has an extensive network of hundreds of chemists across Europe. We are publishing a groundbreaking paper in Nature demonstrating our AI's ability to optimally plan chemical recipes. We run paid pilots with big pharma companies showing that our platform planned a set of experiments that achieved full conversion in a single attempt, eliminating the usual 8-12 iteration cycle.
b12 labs provides an AI-powered chemical synthesis platform that designs, optimizes, and runs chemical reactions to accelerate pharma and biotech R&D. It combines retrosynthesis planning, condition optimization, and execution automation with lab hardware integration.
Two AI tools (Selenium for retrosynthesis planning and Palladium for reaction condition optimization) plan routes and optimize conditions, then Cobalt executes protocols in lab automation environments or via their Cloud Reactions service. Users can run in their own lab with automated protocols for Chemspeed, Opentrons, or other platforms, or submit optimized conditions to Cloud Reactions for plate execution and gram-scale synthesis. The platform translates natural language intents into execution-ready protocols, designs plates with optimized reagent, solvent, and catalyst layouts, and analyzes analytical data to propose next rounds of conditions.
Who itβs for: Pharma and biotech R&D teams performing complex multi-step chemical synthesis, including targets with challenging selectivity and complex scaffolds.
YC-backed funding; product launched with AI automation tools and cloud execution capabilities; active blog/news indicating ongoing development and market validation
at b-12 we are developing AI agents for automated workflows in chemistry and pharma R&D, as a way of manifestating chemical super intelligence in physical world. our long-term goal is to create autonomous labs that can perform complex, multistep syntheses with minimal human intervention.
Before b-12, Andres built the first AI agent to plan and make molecules in a robotic lab (750+ cites in Nature Machine Intelligence, and Best Paper at NeurIPS AI for Science), along with several other works in agents and LLMs for chemistry (1100+ citations). He was an Intern at Max Planck (Math in Science), and PhD at EPFL (AI+Chemistry). Automation is the future of chemistry, but integration and human operability is the hidden demon nobody talks about. We're fixing that at b-12.
Full Stack Chemistry Platform - from planning to robotic execution of experiments
b-12 offers a full-stack platform of AI agents that design chemistry experiments and autonomously write and execute robot instructions across multiple lab systems, aiming to speed up drug discovery for researchers and labs with automation needs. The pilot program invites chemists and labs to trial the integrated planning-to-execution workflow.
AI Co-Pilot for Chemical Process Optimization
The world's first AI-maximalist pharma company
