Genestack

Genestack is a global life science R&D informatics company that provides data management and integration solutions designed to make multi-omics, imaging, and other biological data FAIR (Findable, Accessible, Interoperable, and Reusable), interconnected, and optimized for AI-powered research. Founded in 2012 by Dr. Misha Kapushesky, formerly the Functional Genomics group leader at the European Bioinformatics Institute (EBI) in Cambridge, UK, Genestack operates as a joint venture with JetBrains, a global leader in intelligent developer tools. The company is composed of data scientists, computational biologists, and software engineers united by a mission to help life science organizations fully leverage their data assets for AI/ML applications, drug development, and precision science.

Genestack serves a broad range of organizations across pharmaceutical R&D, agriscience, consumer goods, and academia, including top-10 biopharma companies, leading agriscience organizations, and world-renowned research institutions such as the Wellcome Sanger Institute and AstraZeneca. The platform is purpose-built to address the biggest data science challenges that drain R&D efforts away from research and toward solving IT problems, enabling faster time to market and greater return on data assets.

Flagship Product: Open Data Manager (ODM)

• Launched in 2019, Genestack's Open Data Manager (ODM) is the company's core platform, enabling organizations to create and manage large catalogs of life science datasets.
• ODM provides powerful, fast integrative search and analytics across both data and metadata, supporting multi-omics, imaging, proteomics, radiomics, and other biological data types.
• The platform serves as a single, central source of truth for R&D data, maximizing the derived value of data assets.
• ODM supports use cases including cancer molecular subtyping through true multi-omics integration, precision medicine in glioma radiomics analysis, and agriscience research workflows, as demonstrated in a notable collaboration with Bayer Crop Science.

Core Capabilities

• Comprehensive AI-Ready Data Catalogue: Harmonizes multi-omics, imaging, and other biological data in one structured, FAIR-compliant hub; seamlessly integrates with existing storage and workflows without requiring data migration; AI-ready indexing transforms scattered data into an actionable, machine-readable knowledge base.
• AI-Powered Curation and Harmonization: Standardizes and harmonizes data using AI-driven tools; enforces FAIR principles instantly with customizable ontologies and automated data structuring; enables curation of thousands of samples in seconds, either manually or via API-powered automation.
• AI-Ready Search, Retrieval, and Integration: Allows users to instantly find, export, and integrate FAIR multi-omics, imaging, and other biological data into AI workflows; integrates seamlessly with AI, analytics, and visualization tools via API or UI; accelerates automation with pre-built script libraries and a Swagger-based API system.
• LLM-Powered Data Curation, Search, and Interpretation: Incorporates Large Language Model (LLM) capabilities to further enhance data curation, search, and scientific interpretation, with agentic AI approaches being actively integrated to harmonize data and analytics.

Key Benefits and Value Drivers

• Speed of Innovation: Gets the right data to the right place across the R&D spectrum quickly and efficiently.
• ROI on Data Assets: Clean, quality R&D data readily available from a single central source maximizes derived value.
• Reduced Time to Market: FAIR data harmonized across multiple scientific domains enables researchers to apply AI tools and generate faster insights.
• AI-Driven Research: Prepares data for cutting-edge AI applications, enabling smarter data management and better science outcomes.
• Secure Data Sharing: Provides a controlled platform for secure data sharing, replacing insecure methods such as email or FTP and protecting data from loss when personnel leave.

Deployment, Integrations, and Compliance

• The platform integrates seamlessly with existing storage systems and scientific workflows, requiring no data migration.
• API connectivity is supported through a Swagger-based API system, along with pre-built script libraries for automation.
• ODM enforces FAIR data principles with customizable ontologies and automated data structuring to ensure compliance with life science data standards.
• The deployment experience has been described by customers as professional, efficient, and supported by a highly approachable technical team.

Customers and Industry Recognition

• Trusted by top-10 biopharma companies, including AstraZeneca, where ODM enables scientists and bioinformaticians to harness omics data for faster and more relevant drug discovery and translational research.
• Used by agriscience organizations including Bayer Crop Science and Bejo, where the platform has helped bring products to market faster and more efficiently.
• Adopted by leading academic institutions such as the Wellcome Sanger Institute, enabling research groups to securely manage and easily find knowledge about projects, methods, and analysis datasets.
• Applied in agriscience data science initiatives to facilitate full utilization of collected research data, generating insights to improve delivery of products and services to farmers.

Since its founding, Genestack has grown into a fast-growing, well-funded company with a loyal and expanding customer base. Over the past several years, the company has significantly increased its presence across the pharma, agriculture, and academic industries, and continues to advance its platform with agentic AI approaches that unlock new levels of optimization for life science data workflows.