The Evidence Already Exists.
Most Tools Can't Reach It.

The evidence that could change a variant of unknown significance into a confident diagnosis, validate a new drug target, or identify eligible patients for a clinical trial… it already exists. It's published in the biomedical literature.

The problem is that it’s buried inside 18,000 journals, 39 million articles, and locked away in 4 million tables, appendices, and supplemental datasets that your current AI tools can’t access.

Missing that evidence has serious consequences: patients go undiagnosed, drug programs are built on incomplete assumptions, clinical trials don’t enroll eligible patients, and label expansions get left on the table, meaning fewer patients can access the right treatments after approval.

An image of our team of genomic experts that aid your genomic research needs.

Built to Close the Evidence Gap.

Genomenon was founded in 2014 to solve the evidence gap because we understand the pressure you face as a clinician or program leader when you lack the required evidence needed to make a confident decision.

We harnessed the power of purpose-built AI, combined with expert scientific curation to index and structure real-world evidence from the full text, tables, and data from 11.2 million articles. We don’t just read the titles and abstracts.

The end-result is traceable and regulatory-grade evidence to support clinical diagnoses and drug development decisions at every stage of a product lifecycle.

Find the Evidence. Change the Outcome.

Today, more than 250 clinical diagnostic customers use Mastermind and Cancer Knowledgebase to interpret variants for germline or somatic diseases faster and with greater confidence.

More than 75 biopharmaceutical drug programs have used our customized real-world evidence to expand patient populations, optimize trial design, and support regulatory approvals.

We are based in Ann Arbor, Michigan. Our mission hasn't changed since day one: find the evidence that changes outcomes.

Labels expand. More patients reach the right treatment. Diagnoses get signed with confidence.

You shouldn’t have to make critical decisions with incomplete evidence. With Genomenon…You won’t.

Our Leadership Team

Mike Klein
Chief Executive Officer

With over 25 years of developing, building and growing 4 different high-tech companies, Mike raised over $50M in capital and had several successful investor exits.

Mark J. Kiel, MD, PhD
Chief Scientific Officer & Co-Founder

Mark co-founded Genomenon in 2014 to close the evidence gap in rare disease and cancer. He holds an MD/PhD in Clinical Pathology from the University of Michigan and leads the company's scientific direction.

Sam Globus, PhD
Chief Operating Officer

Sam brings a wealth of experience in genomic product development and operations to the team, and manages the rapid growth of our data science and variant curation work.

Jonathan Eads
Chief Technology Officer

Jonathan leads Genomenon's engineering and AI strategy. He brings 25 years of experience across genomics, drug discovery, bioinformatics, and AI/ML, with a track record of building high-performing engineering teams.

Erin McCann
Chief People Officer

Erin McCann is an HR and People leader with 20+ years of diverse experience. She supports startup teams through rapid growth, cultivating inclusive organizational cultures.

Brian Groark
Chief Financial Officer

Brian is an actively licensed CPA and MBA with experience leading finance teams at PE backed technology companies. He has a proven track record of success in financial reporting, fundraising, digital transformations and M&A.

Kristin Fix
Senior Vice President of Sales

Kristin is a seasoned professional with 25 years of commercial leadership experience within the Life Sciences industry, with a strong focus on real-world data, evidence and insights.

Will Brown
Vice President, Marketing

Will leads marketing at Genomenon. He brings 20+ years of experience in life sciences and healthcare technology, with a focus on account-based marketing, brand strategy, and demand generation.

Tell us what you're trying to prove or diagnose. We'll show you what the literature already has.