Atomrail
Atomrail Raises $72M Series A for Hybrid Quantum-Classical Agent Campaigns in Materials Discovery
Scientific agent runtimes that plan multi-day molecular campaigns across hybrid backends with experiment-grade audit trails and human gates on wet-lab handoff.
Tejas Kulkarni · ex-Google Quantum AI
“Chemistry is not a single prompt. It is a campaign—and agents finally have a substrate that can keep up.”
“Deep-tech agents on hybrid stacks are a multi-decade wedge—Atomrail is productizing it without the science-project tax.”