Drug development is one of the hardest problems in the world. It takes a decade, costs billions, and fails 90% of the time. Much of this is a natural consequence of how complex these programs are. A drug in development touches clinical, regulatory, manufacturing, and commercial functions all at once, generating knowledge across each that rarely makes its way into a single shared picture. Even the most talented scientists and program leads end up spending a significant amount of their time hunting down context rather than acting on it. The result is slower timelines, decisions made on incomplete information, and drugs that take longer to reach the patients who need them.
This is the problem the Cheiron team set out to solve. Today, we’re thrilled to announce Cheiron’s $8 million seed round, led by Menlo Ventures, with the backing and strategic support of industry veterans including Moderna co-founder and MIT Institute Professor Robert Langer; former Pfizer Chief Medical Officer Freda Lewis-Hall; Chai Discovery co-founder and CEO Josh Meier; former Starbucks CEO Laxman Narasimhan; and former Apple AI chief John Giannandrea.
A Drug Program, Represented as a Whole
If we look at what it takes to advance a drug program, at any given moment, a team is simultaneously tracking efficacy signals, monitoring the safety profile, stress-testing the regulatory strategy against precedent, and watching competitors for anything that might invalidate their assumptions. At the heart of this is a single argument—that this molecule treats this disease, safely and effectively—which has to hold up at every stage and is being made across dozens of people, hundreds of documents, and years of accumulated context. Yet none of it is connected.
Cheiron built the infrastructure to piece it all together. The platform’s Lifesciences Knowledge Graph (LKG) ingests and structures biomedical, clinical, regulatory, patent, and commercial knowledge, then maps it against the specific contours of a customer’s program. The result is a drug program you can actually query.

For the first time, teams have a single place to see the full state of their program and stress-test it in real time. Is the safety narrative still consistent with the latest data? Does the trial design hold up against recent regulatory precedent? Are there gaps in the evidence package that need to be closed before a submission? Cheiron holds the state of the program so experts can focus on judgment, and every answer is traceable to a source and defensible in a room full of scientists.

Cheiron’s early traction speaks for itself. In less than six months since launch, the platform has reached more than 20% of Korea’s biopharma knowledge-worker base and secured seven of the country’s top 10 biopharma companies as customers. Building on this momentum, Cheiron is now running active pilots with leading global pharmaceutical companies as it expands into the U.S. market.
A Customer-Obsessed Team
The best founders understand their customers at a level that borders on obsessiveness, and Minseok Bae, Jason Park, and Harshit Gupta have that quality in abundance. They met at Stanford and bring extraordinary technical pedigree across competitive programming, biology, and physics, but what stayed with us after our first meeting was how clearly they saw the problem from the customer’s seat, and how relentlessly they’d already moved to solve it.
The team has also assembled a deep advisor bench of industry veterans across pharma who have led FDA approvals and built global drug programs from the ground up.
Backing the Future of AI and Biology
At Menlo, we’ve long believed that one of AI’s most transformative applications lies at the intersection of AI and biology. Cheiron joins a portfolio we’ve been deliberately building at this intersection, including Chai Discovery, which is developing foundation models for biology, Phylo, building an IDE for biological design, and Aurora Therapeutics, developing therapies for rare diseases.
We’re thrilled to welcome Minseok, Jason, Harshit, and the Cheiron team to the Menlo family.
Venky is a partner at Menlo Ventures focused on investments in AI-native software, cybersecurity, and AI infrastructure. He currently serves on the boards of Abnormal AI, Appdome, Aurascape, BitSight, ConverzAI, MealPal, Obsidian, Sonrai Security, and Unravel Data. He previously led investments in and served on the boards of Aisera (acquired…
As a principal at Menlo Ventures, Johnny invests in biotech and life science companies with a focus on novel therapeutics and new technologies for improving medical outcomes. He has firsthand experience working at the bench on engineering new tools for the clinic. While completing his Ph.D., Johnny helped develop gene…
Sabrina is an investor at Menlo Ventures, where she focuses on inflection-stage companies in enterprise SaaS, AI/ML, and cloud infrastructure. She’s excited about partnering with founders who challenge the status quo and supporting them in transforming bold visions into enduring businesses. Her passion for startups began at Fastcase (now vLex),…






