CAMBRIDGE, Mass. — Transfyr, a startup developing a physical AI platform for scientific laboratories, has launched with $25 million in seed funding led by General Catalyst.
The financing round also included Lux Capital, Breakout Ventures, Factory, Neo, SV Angel, MVP Ventures, Underscore VC, Lyda Hill and several angel investors.
Transfyr was founded by Anna Marie Wagner, former Head of AI and Corporate Development at Ginkgo Bioworks, and Renee Wegrzyn, Ph.D., founding Director of ARPA-H. The company aims to capture the physical execution of laboratory work and convert it into machine-readable data that can support scientific reproducibility, automation and AI-powered research.
“Science is missing a critical layer of infrastructure that’s necessary for efficient reproducibility, translation, scaling, and automation,” said Anna Marie Wagner, co-founder and CEO of Transfyr. “The existing scientific record is a lossy representation of reality and we must build the interfaces that make the nuances of science observable and interpretable for future generations of scientists and the autonomous systems that will support them.”
The company’s platform uses integrated sensors and multimodal AI models trained on real-world scientific work to capture information that is often absent from traditional scientific records. Transfyr said the system is designed to track operator actions and intent, environmental conditions, equipment data and supply chain factors.
That information can be used to identify sources of process variability, perform root-cause analysis, optimize laboratory protocols, develop training and technology-transfer procedures, and create instructions for robotic systems.
Transfyr said scientific and manufacturing technology transfers can be slowed by undocumented knowledge and differences in how laboratory procedures are performed. The company cited an Accenture report estimating that 64% of drug-launch delays in 2024 were linked to chemistry, manufacturing and control issues, including technology-transfer challenges.
“Breakthroughs mean nothing if they stay trapped in a single lab or depend on unwritten tacit knowledge to succeed,” said Renee Wegrzyn, Ph.D., co-founder and Chief Innovation Officer of Transfyr. “The real bottleneck to revolutionary science isn’t a lack of big ideas, it’s the massive friction of translating those ideas into reliable, scalable reality with impact.”
Transfyr’s team includes wet-lab scientists, automation engineers, machine learning engineers, perception researchers and computational biologists. Advisors and angel investors include Stanford University Professor Chris Ré; Nobel laureate David Baker of the University of Washington; Inceptive Medicines CEO Jakob Uszkoreit; former Merck CEO Ken Frazier; Stanford researcher Stephen Quake; and former OpenAI Chief Product Officer Kevin Weil.
Headquartered at The Engine in Cambridge, Massachusetts, Transfyr also operates an in-house wet laboratory where it generates training data for its models and tests its sensor technology in experimental workflows.
The company said it is already working with organizations in diagnostics, academic research, workforce development, robotics and AI.
Transfyr’s technology is also being used in a nearly $1 million Massachusetts Life Sciences Center Gamechanger grant with the BioBuilder Educational Foundation to expand hands-on training and credentialing programs in Massachusetts. Its platform is also involved in a Boston University-led Genesis Mission program connected to the National Science Foundation’s $400 million Programmable Cloud Labs initiative.
“Science is the world’s most important engine of progress, yet its ability to scale has lagged other critical industries,” said Hemant Taneja, CEO of General Catalyst. “This founding team brings a rare combination of scientific, technical, operational, and institutional experience to change that.”
