Tetra OS Scientific Data and AI Platform

TetraScience is a scientific data and AI company headquartered at 68 Harrison Avenue, Boston, Massachusetts. It tackles the fragmented, instrument-specific data formats in biopharma labs that keep R&D, quality control and manufacturing data from being reused for analytics and AI.

Tetra OS replatforms raw data from lab instruments and informatics systems into the cloud, contextualises it and engineers it into AI-ready datasets. The platform combines a Scientific Data Foundry, a Scientific Use Case Factory and Tetra AI as the intelligence layer with agentic capabilities, plus apps such as Chromatography Insights and GxP compliance features. Tetra Sciborgs provide expert-led, outcome-based engagements. Customers quoted on the site include Alexion, Takeda, Bayer, Organon, Syngenta and Merck.

• Scientific Data Foundry: ingests and harmonises raw data from lab instruments and systems.
• Scientific Use Case Factory: builds repeatable analytics and AI use cases on engineered data.
• Tetra AI: intelligence layer with agentic capabilities over contextualised data.
• Chromatography Insights: dashboard unifying chromatography data across instruments.
• GxP compliance: data integrity, lineage and traceability for regulated labs.
• Partner ecosystem: integrations with Thermo Fisher, NVIDIA, Databricks, Snowflake and Microsoft.

Vietnamese pharmaceutical manufacturers can centralise chromatography and QC instrument data to speed up batch release reviews. Multinational pharma plants in the region can standardise lab data across sites for analytics. Agricultural biotech firms can automate data flows from screening labs into AI models.

TetraScience reports up to 10x scientist productivity, 40x faster production insights and 60% earlier time to market. An Alexion case cites 12x time saved on automated data migration and 7x faster time to insight. GxP features support data integrity and traceability for regulated quality labs. Vendor-neutral data reduces lock-in to individual instrument software.

Biopharma companies are investing in AI-ready lab data as a basis for faster discovery, batch release and quality analytics. Pharmaceutical producers in Southeast Asia, including Vietnam, are upgrading QC labs with HPLC and other instruments under GMP data integrity rules, which creates demand for centralised, auditable scientific data.

Headquartered in Boston, Massachusetts, USA; CEO Patrick Grady. Partners include Thermo Fisher Scientific (2026 collaboration), NVIDIA, Databricks, Snowflake and Microsoft. Site shows SOC 2, ISO 9001:2015 and ISO 27001 badges.