Tetrascience
The R&D Data Cloud for Scientific Discovery.
Overview
The Tetra Scientific Data Cloud is an open platform designed to solve the challenge of siloed and unstructured scientific data. It connects to lab instruments, informatics systems (like LIMS, ELN), and CROs, automatically collecting and engineering the data into a centralized, harmonized, and vendor-neutral format (JSON). This 'liquid' data can then be easily used for advanced analytics, machine learning, and visualization, accelerating scientific insights.
✨ Key Features
- Automated data ingestion from instruments and software
- Data harmonization into a vendor-neutral format
- Cloud-based data lake for centralized storage
- Data search and exploration tools
- API access for analytics and AI/ML
- GXP compliant
🎯 Key Differentiators
- Open, vendor-agnostic platform
- Focus on automated data collection and harmonization, not just storage
- Re-engineers raw data into a queryable, AI-ready format
Unique Value: Transforms siloed, heterogeneous scientific data into a valuable, liquid asset, providing the essential data foundation for advanced analytics, AI, and digital transformation in R&D.
🎯 Use Cases (4)
✅ Best For
- Automating data capture and analysis in QC labs
- Creating a unified data backbone for large pharma R&D
- Accelerating tech transfer between R&D and manufacturing
💡 Check With Vendor
Verify these considerations match your specific requirements:
- Direct, hands-on bioinformatics analysis (it's a data platform, not an analysis tool)
- Individual academic research
🏆 Alternatives
Unlike ELNs or LIMS that primarily serve as systems of record, TetraScience is a system of innovation that focuses on making the underlying data accessible and usable for machine learning and analytics, regardless of where it was generated.
💻 Platforms
🔌 Integrations
🛟 Support Options
- ✓ Email Support
- ✓ Phone Support
- ✓ Dedicated Support (Enterprise tier)
🔒 Compliance & Security
💰 Pricing
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