Our approach optimizes process, enhances reproducibility, and reduces time-to-therapy.
Our mission is to accelerate biopharma’s therapeutic development by transforming structured R&D, PD, and scale-up information into intelligent knowledge.
Who we are
We envision redefining how therapies are developed—using structured knowledge and deterministic systems to eliminate trial-and-error and accelerate discovery to delivery.
Co-founders:
Karen Weisinger
Chief Scientific Officer
Dr. Karen Weisinger is a scientific and strategic leader in cell and gene therapy, specializing in end-to-end program development, CMC strategy, and next-generation automated manufacturing. She has built and led global multidisciplinary teams, guided therapies from concept through IND readiness, and partnered with dozens of companies to solve industry-wide bottlenecks through data-driven and automation-first approaches. Her work centers on integrating biology, engineering, and AI to make advanced therapies more predictable, scalable, and clinically impactful.
Tom Londo
Chief Technology Officer
Dr. Tom Londo is an accomplished CTO-level leader known for architecting high-impact platform technologies and driving commercial execution. He has built product portfolios across Hybritech, PerSeptive Biosystems, Beyond Genomics, and Parker Hannifin, and has guided companies through rapid growth, acquisitions, and market expansion. His career reflects a deep ability to align technology strategy with commercial opportunity.
Eric Neumann
Chief Knowledge & Intelligence Officer
Dr Eric Neumann brings 30+ years of experience developing AI-driven world models, semantic knowledge systems, and enterprise-scale informatics for the life-science industry. A founder and early builder of multiple successful companies—including Beyond Genomics, Genstruct/Selventa, and Foundation Medicine—he has also led international initiatives inside major pharma organizations, and was the Global Head of Knowledge Management at Sanofi-Aventis. His core mission is addressing the Life Science’s most critical barrier: the knowledge gap that limits success.