Tetra OS | Platform Overview | TetraScience

Unvarnished perspectives from our CEO

Read first principles insights on Scientific AI, and how we're reimagining and replatforming science for the era of AI.

Scientists can now go from "I have an idea" to "I have a running app" in under an hour. See a live build at our August 13 Showcase.

Science runs on fragmented data. It shouldn't. Get the Tetra OS solution brief.

New Review by Exception Capabilities: Boost quality operations through smarter, exception-driven review workflows.

Most AI in biopharma fails before the model is ever trained.

The bottleneck isn't the algorithm.

It's the data underneath it — fragmented across instruments, locked in vendor formats, stripped of the scientific context that makes it useful. Tetra OS resolves that at the foundation, so the AI you're building has something to work with.

The Rise of Sciborgs: Transforming How Science Gets Done

Introducing our new series: Sciborg ™ Sessions. See how Sciborgs are fundamentally changing how science gets done.

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February 27th | 11am ET

What Tetra OS does

Purpose-built for scientific data

Every schema, taxonomy, and ontology in Tetra OS was designed around how science actually generates data — instruments, assays, workflows, and all the context that makes data meaningful downstream.

Open and vendor-agnostic

Tetra OS runs on your existing stack. It connects to hundreds of instruments and applications, converts raw scientific data into open formats, and never locks you into a single vendor's ecosystem.

Shared data, shared progress

Tetra OS makes your scientific data accessible across teams, sites, and external partners — in a governed, GxP-compliant environment built for collaboration at scale.

Data your AI can actually use

AI in drug discovery fails at the data layer — not the model layer. Tetra OS produces harmonized, ontology-tagged, AI-native scientific datasets that models can consume without preprocessing.

One platform to move your scientific organization from raw data to Scientific AI with guidance and governance intact.

Tetra OS is the only platform built to take scientific data from raw instrument output to production AI in a single, integrated system. It comprises four components that work together and can be deployed individually based on where you are in your data and AI maturity.

Derive value at every step in the scientific data and AI journey

Data replatforming

Automate the assembly, transfer, and contextualization of your scientific data in a centralized, purpose-built cloud.

Data engineering

Transform your raw, scientific data into contextualized, harmonized, large-scale, and liquid AI-native data.

Data analytics

Generate new insights by using engineered Tetra Data in your dashboards, visualization tools, and analytics applications.

Scientific AI

Achieve groundbreaking scientific outcomes by preparing your data for cutting-edge AI applications and collaborative workflows.

Add value and reduce risks at each stage of your journey

Tetra Sciborg Teams

Catalyze your scientific workflows with end-to-end data engineering, science, and outcome-based engagements that accelerate and improve your value realization.

GxP Compliance

Streamline your data integrity and compliance efforts with accurate, traceable, and secure data that adheres to essential industry regulations and guidelines.

Explore resources

Dig deeper into key topics affecting biopharmas

Read the latest on topics ranging from the challenges with legacy data architectures to the importance of ascending the data maturity pyramid.

See how it works

Learn how the Tetra Scientific Data and AI Platform collects, centralizes, and contextualizes data from a wide range of scientific instruments and applications.

Discover customer success stories

Read how leading biopharma organizations are streamlining workflows, improving scientific outcomes, and driving innovation with the Tetra Scientific Data and AI Platform.

Make your scientific data work for AI.

Tetra OS turns scattered instrument and lab data into a foundation AI can actually use.

By transforming how our scientists access, analyze, and share research data, we're unlocking new levels of productivity and enabling AI-powered insights through a connected, online data environment. Beyond boosting productivity, we're leveraging data and agentic AI to accelerate innovation across our drug discovery engine.

Jim Villa Global Head of Research Strategy & Operations