TetraScience provides a cloud-based platform that replatforms and engineers scientific data, enabling biopharmaceutical companies to automate lab data management and analytics. This approach addresses the inefficiencies of siloed data, resulting in a 10x increase in scientist productivity and a 60% reduction in time to market for drug discovery.
Funding
$99.1M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
WCFounders
Product
Problem
Biopharmaceutical companies face challenges with siloed and unstructured scientific data trapped in vendor-specific formats, hindering efficient data management and advanced analytics. This lack of data liquidity limits scientist productivity and slows down the drug discovery process.
Solution
TetraScience offers a cloud-based platform designed to replatform and engineer scientific data, enabling biopharmaceutical organizations to automate lab data management and analytics workflows. The platform unifies data from diverse sources into a vendor-agnostic environment, contextualizing it for scientific use cases and enabling advanced lab automation. By transforming proprietary formats into standardized taxonomies and ontologies, TetraScience generates AI-native datasets that facilitate collaboration and accelerate insights. This approach allows organizations to unlock the value of their data, improve scientist productivity, and reduce time to market for new therapies.
Target Audience
The primary target audience includes biopharmaceutical companies, CROs, and CDMOs seeking to improve scientific data management, accelerate drug discovery, and enable AI-driven insights.
Features
- Vendor-agnostic data stack that prevents data silos and vendor lock-in
- Automated data assembly and contextualization in a purpose-built cloud environment
- Industrialized scientific taxonomies and ontologies for advanced analytics and AI
- Data engineering tools optimized for dashboards, visualization, and analytics applications
- GxP compliance support with traceable and secure data management
- Pre-built connectors for various scientific instruments and data sources
- AI-driven insights and outcome acceleration through replatformed and engineered data