About Us
Operating at the edge of innovation, turning complexity into something usable.
Across Industries, we've spent our careers building what didn't exist and fixing what didn't work. And we kept seeing the same pattern:
More data. More tools. More noise. But not more clarity.
Nowhere is that gap more critical than in healthcare.
Clinicians are expected to deliver personalized care while navigating fragmented information and time-intensive decisions. Patients are searching for answers but rarely receive explanations that make sense.
The system doesn’t lack information.
It lacks interpretation.
So, we built a solution grounded in experience.
From building and exiting companies…
To leading digital transformation in healthcare…
To developing AI-driven platforms and working alongside clinicians…
From building and exiting companies…
To leading digital transformation in healthcare…
To developing AI-driven platforms and working alongside clinicians…
We’ve learned a simple truth:
Even the most advanced technology fails if it doesn’t create clarity.
That insight led to a new approach:
Translate biology into something clinicians can actually use…quickly, confidently, and at scale.
The People Behind the Science. Focused on Making Care More Personal
We’re entrepreneurs and operators from healthcare, technology, and high-growth companies, focused on one problem: turning complex biology into clear, actionable insight.
Because in modern healthcare, there’s no shortage of data, only a shortage of clarity.
Our Team
Len May
CEO & Co-Founder
Serial entrepreneur and pioneer in precision health and genomics. Len has led the development of multiple patented technologies and built EndoDNA’s proprietary genetic interpretation platform that powers personalized healthcare insights. He has spent over a decade advancing the intersection of genetics, AI, and clinical decision support for precision medicine.
Eric Kaufman
Co-Founder & Head of Technology
Technology entrepreneur focused on building scalable AI-driven platforms. Eric leads the development and architecture of the EndoDNA + BIOS technology ecosystem, translating complex biological data into structured intelligence for clinical decision support. His work centers on platform development, machine learning integration, and building defensible health technology infrastructure.
Allen Lawrence, MD
Chief Medical Officer
Dr. Allen Lawrence, MD, PhD, is a physician-scientist with extensive experience bridging clinical practice and advanced research. He oversees clinical integrity and application, ensuring EndoDNA + BIOS translates complex biology into clear, actionable guidance for healthcare providers.
Alicia Moura
Strategic Growth
Healthcare growth strategist with 18 years of experience across health systems, clinics, and healthcare technology startups. Alicia focuses on commercialization strategy, partnerships, and scaling adoption of emerging healthcare platforms. Her work bridges healthcare operations, technology implementation, and growth-stage market expansion.
Amanda Vega
Growth Marketing
Growth strategist specializing in digital marketing, public relations, and brand-driven demand generation. Amanda leads digital marketing, social media, and communications strategy to build awareness and drive demand for EndoDNA + BIOS. She brings experience across wellness, pharmaceutical, and regulated healthcare environments.
Britton O'Keafe
Business Development & Sales
Sales leader focused on scaling commercialization for emerging healthcare technologies. Britton leads sales strategy, partnerships, and provider adoption for EndoDNA + BIOS, driving growth across clinics and health practices. His focus is building high-performing sales organizations and accelerating market penetration.
Samuel Adesina
Head of Engineering
Samuel Adesina serves as Head of Engineering, overseeing platform architecture, data systems, and product development. He is responsible for translating complex biological and machine-learning frameworks into scalable, secure, and practitioner-ready technology.
Advisory Board
Liz Parrish 