Better experiments, better bets.
We’re building Eureka for R&D teams on tight timelines in contested spaces. Deeply understand your landscape and design sharper experiments with a verifiable agentic system that adapts to your program. Eureka is private by default and works alongside existing workflows.
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Nature · mechanism review
ClinicalTrials.gov · NCT048…
USPTO · US10,234,567
FDA briefing doc · 2023
LDH release assay
Bispecific angle
Competitive landscape
Built for industry-grade R&D without compromises
Built for regulated R&D
Designed for the pace and rigor of regulated R&D environments.
AI agents you can verify
Expert-developed, human-guided, and grounded in your program’s evidence.
Unified context management
Captures and connects context across teams so handoffs don’t mean starting over.
Enterprise ready
Private by design with built-in governance. Your data stays yours—never used for training.
Plays well with your stack
Integrates with ELN, document, and program systems so Eureka adds to the way your team already works.
Being shaped by the nation’s most daring scientists and engineers
“Moving forward, I can see this tool being hugely beneficial for research productivity. It passed my 'test' with flying colors, and I will absolutely plan to use it as we prepare this next grant over the next few months.”Principal Investigator, RNA Biology
“It is fantastic that the Research Assistant presents information in a highly unbiased way.”Principal Investigator, RNA Biology
“I was able to drafted a new bench-ready protocol to work with a specific antibody in a matter of minutes for what would have taken me hours across multiple days.”Senior Scientist, Pre-clinical Biologics company
“This is a controlled AI system that I can use for regulated work. Nicely done!”CSO, Stealth Therapeutics Company
“I can see this doubling the capacity of our operations team.”Regulatory Scientist, Cell and Gene Therapy
“Each of the ideas are highly applicable and I would want to try in the lab.”Hardware Design Engineer
“These test procedures are very, very good.”Hardware Design Engineer
Our Mission
R&D that is fast, rigorous, and delightful at the same time.
Eureka is built by Frontier Instruments, a Seattle-based applied-AI lab building the AI infrastructure for physical R&D, starting with biopharma and med-tech.
In 1993, a Spanish microbiologist named Francisco Mojica was studying salt-tolerant archaea off the coast of Alicante when he noticed short repeating sequences in their DNA, separated by unique spacers, arranged with suspicious regularity. He had no framework for what they meant. The meaning sat distributed across microbiology, bioinformatics, and phage biology — in papers no single lab had bandwidth to synthesize, in a connection to bacterial immunity that would not be made for another dozen years. When the dots were finally connected, the result was CRISPR. The evidence had existed the whole time. The synthesis had not.
This is how frontier R&D has always worked. Evidence outruns the system meant to synthesize it. The expert hired for creativity and judgment is rate-limited by the demands of information processing and connecting the dots.
The Mojica pattern happens at civilizational scale, but it also happens every Tuesday in every R&D organization. A team spends six months stuck on protein aggregation while the decisive readout sits in a cryo-EM methods paper no one on the team was positioned to find. A process engineer reruns a DOE that a materials group three floors up already ran, with a technique that would have collapsed the question in an afternoon. The answer was reachable. The connection wasn’t made. That work can now be offloaded to domain-aware AI built to handle what sits between questions and decisions — in a manner experts can trust and non-experts can learn from.
We say this as practitioners, familiar with the joys and frustrations of frontier R&D across multiple industries. Whether the work was accelerating manufacturing of orbital rockets, training generative models for de novo antibody engineering, or building the infrastructure to connect global operations, the bottleneck lived in the same place: the gap between what a team can know and what it actually decides with. Eureka is the system that closes that gap — between what a team can know and the calls it must make — so expert judgment goes farther.