Life Sciences Freemium
Constellab
Web Application 4.3/5 WebCloudOn-premise
What is Constellab?
Sovereign European data and AI platform for life sciences, connecting teams, data, and instruments to accelerate innovation.
Constellab is a sovereign European data and AI platform for life sciences and digital health, developed by Gencovery. It connects teams, data, and instruments to optimize R&D, production, and commercialization processes. Features include collaborative workspaces, no-code analytics, AI agents, digital twins, and a community marketplace. Deployable on cloud, on-premise, or hybrid. Compliant with GDPR, ISO, and 21 CFR Part 11.
Key Features
Collaborative workspace
No-code analytics and visualization
AI agents and digital twins
Preconfigured development environments (Python, R, etc.)
Community marketplace
Sovereign deployment (cloud, on-premise, hybrid)
GDPR, ISO, 21 CFR Part 11 compliance
Automated data traceability
Modular architecture
Integration with instruments and existing tools
Use Cases
Scientists and business developers manage innovative projects by consolidating contractualization, maturation, and execution phases with Gantt charts and study plans, reducing time lost on disconnected tools like CRM and Excel.
R&D teams accelerate analysis of experimental data (e.g., enzymatic tests, preclinical trials) by automating research and visualization with AI agents, eliminating manual Excel processing and improving speed and reliability.
Bioprocess engineers optimize fermentation cycles by connecting instruments, structuring data automatically, and using AI and digital twins to improve yields and production efficiency.
Data scientists deploy custom AI models and analytics using preconfigured Jupyter notebooks and Streamlit apps, enabling rapid prototyping and integration with existing workflows.
Academic researchers access a dedicated pedagogical environment for life science projects, leveraging shared datasets and community-contributed workflows to accelerate discovery.
Quality assurance teams ensure regulatory compliance with automated data traceability, timestamping, and contextualization, meeting ISO and 21 CFR Part 11 requirements.
Commercial teams collaborate with partners via shared workspaces and real-time chat, streamlining communication and project tracking across internal and external stakeholders.
life sciencesdata platformAIcollaborationdigital twinno-code analyticssovereignbiotechnologyR&Dlaboratory
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