The CoEval Project
Highlighting the signal within the noise through community collaboration and shared human insight.
coeval (n)
"coeval (n): A contemporary; an individual or entity existing in the same epoch, evaluated alongside peers."
The Challenge: Marketing Fog & Information Overload
We have more information than ever at our fingertips, but finding true meaning has never been harder. Over the past few years, hundreds of venture-backed startups and research labs have emerged declaring they are applying foundation models, generative algorithms, or autonomous wet labs to medicine and physical sciences.
On their pitch decks and press releases, almost all of them sound identical. They cite the same breakthroughs, use the same terminology, and boast transformative capabilities. Yet for domain scientists, prospective employees, corporate business development leaders, and investors, distinguishing actual technical depth from PR hype has become an exhausting hurdle.
Representing the Whole: Multi-Perspective Peer Analysis
Around any emerging technology or new venture, there are inevitably multiple valid viewpoints. You have advocates and true believers who see transformative downstream potential; domain skeptics and wet-lab veterans who test the limits of computational claims against messy biological reality; and pragmatists taking a disciplined, wait-and-see approach.
CoEval does not seek to enforce a single monolithic judgment, nor are we a cynical takedown mill. Our purpose is to represent the whole—synthesizing these diverse perspectives into a transparent, shared understanding.
When there is an over-abundance of automated summaries, disinformation, preprints, and venture claims, the real differentiator is participatory human expertise: practicing scientists, engineers, and researchers coming together to ground reality.
Spotlighting The Quiet Underdogs
CoEval aims to help highlight the signal within the noise.
In particular, we seek to spotlight the "underdogs"—the quiet companies with exceptional scientific architecture, rigorous wet-lab empirical datasets, and differentiated algorithms, but who receive fractionally less attention than the loudest marketers in the space.
By establishing an open, peer-reviewed evaluation framework, CoEval offers a structured, transparent assessment of what makes these companies distinct.
Strategic Focus & The Generalized Future
CoEval is currently focused on the intersection of AI and life/physical sciences, where technical complexity is highest and domain verification is most vital. With deep roots and domain leadership in computational biology (notably with Anna Marie Wagner, who originated the CoEval project, associated with the initiative), our initial index targets molecular models, enzyme engineering, synthetic biology assays, and material generation.
However, the architecture of CoEval is built as a generalized collective evaluation and shared technical review platform. As our reviewer community grows, the platform is designed to scale into physical sciences, quantum computing, industrial biotechnology, and beyond.
Mission-Driven & Community-Led
CoEval is run by mission-driven volunteers. We are not a pay-to-play paywalled research firm or a sponsored lead generation mill. Our goal is that CoEval serves as an enduring public utility for:
- Researchers & Jobseekers trying to identify genuinely high-caliber engineering and scientific environments.
- Business Development & Biotech Leaders seeking real partners for preclinical pipelines.
- Investors looking for technical differentiation that stands up to scientific scrutiny.
Meet Our Team
We're grateful for our small but mighty volunteer team building CoEval into an open community resource.
Anna Marie Wagner
Founder & Strategic LeadAnna Marie came up with the idea for the CoEval Project while on holiday with her family. She hopes it will be useful!
Brian Moelk
Lead Software ArchitectBrian brings decades of software engineering experience to the CoEval team and is responsible for architecting the backend and upgraded database.
Sidharth Hulyalkar
Bioengineering & Software SystemsSid brings a blend of bioengineering and computer science experience to the team and has been critical in helping build the next generation of CoEval.
Want to get involved?
CoEval is run by mission-driven volunteers. Drop us a line or apply to review companies—we would love your ideas and expertise!