In modern biopharma, science is only as fast as your data workflows. But too often, critical data is trapped in silos, transcribed manually, or delayed by bottlenecks between instruments and informatics systems. These inefficiencies don’t just slow science—they create compliance risks, increase costs, and delay time to clinic and time to patient.
Tetra Workflows changes that. Built on the Tetra Scientific Data and AI Cloud, Tetra Workflows is a future-ready solution for scientific data workflow automation. It connects your entire lab ecosystem, accelerating and improving scientific outcomes while ensuring data quality, traceability, and compliance. See the full press release.
The Limits of Manual Work and Patchwork Automation
Traditional lab data workflows rely on manual transfers, point-to-point integrations, and fragmented scripts. This leads to:
- Delays: Teams waste hours moving files and fixing transcription errors.
- Errors: Manual handling increases deviation rates and threatens data integrity.
- Missed insights: Inaccessible or inconsistent data can’t easily be leveraged for analytics or AI.
Tetra Workflows eliminates data barriers. By automating the journey from raw instrument output to analysis-ready data in your ELN, LIMS, LES, or analytics platform, you can focus on delivering results instead of wrangling data.
Inside Tetra Workflows
Tetra Workflows builds on our open, vendor-agnostic, cloud-native platform, pairing it with powerful self-service automation tools to deliver curated, analysis-ready data across your entire scientific data ecosystem.
Tetra Integrations
Tap into an extensive library of pre-built connectors and agents that handle the heavy lifting of instrument data ingestion and system connectivity. Whether you’re working with chromatography systems, balances, or sequencing platforms, you can move data directly to and from your ELN, LIMS, or LES. Learn more.
Tetra Data Pipelines
Transform raw instrument files into harmonized, queryable datasets using automated data operations. Pipelines can enrich data with contextual metadata, validate it, and push it seamlessly to downstream systems. For specialized logic, low-code options (such as Python-exec steps) let you customize workflows without rebuilding core infrastructure. Learn more.
Recipe Library
Accelerate workflow creation with pre-configured “recipes” that bundle proven pipelines and automations for common use cases. Use them as-is to get started fast, or modify them to match your lab’s exact requirements. Either way, you skip the blank-page problem and build on tested, validated workflows. See examples (TetraConnect Hub login required).
Tetra Data Capture App
Bring simple instruments like balances and pH meters into your digital data ecosystem without expensive upgrades. Simply snap a photo of the readout, and the app automatically uploads and assigns the result to the correct record. Combine these results with metadata from your LIMS or ELN into one analysis-ready dataset. Watch the demo.
Self-Service Connectors & Pipelines
Create your integrations and pipelines with a guided interface that walks you through mapping fields, generating Python code, and validating your integration or pipeline, so you can connect instruments and applications bidirectionally in hours instead of weeks. Watch the demo.
Visual Pipeline Builder
Use an intuitive, drag-and-drop interface to create or modify pipelines without touching code. Select from validated parsing and transformation components, configure parameters, and deploy changes instantly. Watch the demo.
Workflow Creation Assistant
Leverage AI to accelerate the design of new scientific data workflows. The assistant helps you map data, generate scripts, and ensure accuracy through built-in error checks before deployment. It’s powerful enough for IT, yet simple enough for scientists with minimal coding experience to create and update workflow automations. Watch the demo.
The result: fewer steps, faster execution, and higher-quality data. Customers see up to 60% fewer workflow steps, 40% more productivity, 75% fewer errors, and 90% reduction in implementation time.
How We Stand Apart
Many workflow automation solutions move data between systems, but stop short of addressing the unique demands of scientific data.
Tetra Workflows goes further by combining:
- Breadth of connectivity – Works across instruments, ELNs, LIMS, LES, and analytics platforms from any provider.
- Depth of integration – Includes robust parsing for scientific data formats and metadata, with the ability to harmonize and enrich data before it moves downstream.
- Reusable architecture – Build workflows once and reuse them across labs, sites, or even after system changes—no starting over.
- Self-service flexibility – Empower scientists and IT teams to create and adapt workflows without long development cycles.
- Future-proof design – A single data layer supports multiple modalities and use cases, simplifying architecture and reducing technical debt.
This combination delivers automation that is scalable, quick to deploy, and purpose-built for the scientific enterprise.
The Payoff
With Tetra Workflows, labs can:
- Accelerate insights – Get from data to decisions faster.
- Ensure compliance – Maintain full lineage and traceability.
- Empower scientists – Build and adapt workflows without coding.
- Reduce IT burden – Scale automation without ballooning technical debt.
- Unlock AI potential – Feed analytics and AI tools with harmonized, AI-native data.
For one TetraScience customer, automating scientific data workflows delivered $2.5M in savings through reduced manual work, fewer errors, and faster batch release.
See It in Action
Tetra Workflows isn’t just another automation tool—it’s a foundation for the fully connected, AI-ready lab.
Request a demo to see how you can eliminate bottlenecks, improve data quality, and make your scientific data work harder for you.