Genedata

Genedata

Basel, Switzerland· Est.
Is this your company? Claim your profile to update info and connect with investors.
Claim profile

Private Company

Total funding raised: $45M

Overview

Genedata is a long-established, private enterprise software leader specializing in digital solutions for the biopharma industry. Its core offering, the Genedata Biopharma Platform, provides a unified data model, workflow automation, and embedded AI to streamline operations from discovery through development and manufacturing. The company is trusted by major pharmaceutical firms, leverages a deep understanding of scientific workflows, and operates on a platform business model with a proven, revenue-generating track record. Its strategic focus is on becoming an essential digital infrastructure partner as the industry accelerates its adoption of automation and AI.

AI / Machine LearningGenetics & GenomicsDrug Discovery

Technology Platform

The Genedata Biopharma Platform: a unified enterprise software suite with a biologics-native data model, workflow automation, and embedded AI for end-to-end biopharmaceutical R&D and manufacturing. Comprises seven systems (Screener, Biologics, Bioprocess, Chromatics, Expressionist, Selector, Profiler) supporting all major therapeutic modalities.

Funding History

3
Total raised:$45M
Series C$20M
Series B$15M
Series A$10M

Opportunities

The rapid growth of complex therapeutic modalities (cell/gene therapy, mRNA, multi-specifics) creates demand for specialized digital platforms.
The industry-wide push for AI/ML adoption and data-driven decision-making positions Genedata's AI-ready, unified data foundation as a critical enabling technology.
Increasing pressure on development cost and speed drives investment in workflow automation and efficiency solutions.

Risk Factors

Intense competition from both established life science informatics vendors and new AI-native startups threatens market share.
The pace of digital transformation in large, traditionally conservative pharmaceutical companies may be slower than anticipated, impacting sales cycles.
Success is contingent on continuously delivering tangible AI/ML value and integrating new scientific technologies to maintain platform relevance.

Competitive Landscape

Genedata competes in the enterprise software space for biopharma R&D. Key competitors include Dotmatics (broad R&D informatics), Benchling (cloud-native R&D platform primarily for biotech), and Veeva (strong in clinical and commercial, expanding into R&D). Its primary differentiators are its deep biologics specialization, unified end-to-end platform covering discovery through manufacturing, and 25+ years of domain expertise embedded in its software.