Transform Your Lab Data Workflows

Connect all your scientific data sources and targets. Automate your processes at scale.

60%

Fewer steps in scientific workflows

40%

Increase in lab productivity

4x

Reduction in error rate and higher-quality data

Lab data automation at scale

Simplify and automate lab data workflows

Scientific IT teams invest significant effort trying to improve lab data flows—but building and maintaining point-to-point integrations is time-consuming and unsustainable. With TetraScience, IT teams can automate data movement across the entire ecosystem—seamlessly connecting instruments, ELNs, LIMS, LES, and any scientific software.

Benefits for IT leaders

Free scientists from manual work

Scientists often spend valuable time manually transferring data and results—struggling to avoid errors, inconsistencies, and gaps. TetraScience eliminates this burden by automatically ingesting data into a centralized, trusted source. From there, scientists can seamlessly access and reuse data in their preferred tools for reporting, analytics, and AI-driven insights.

Automate and streamline data workflows

Move data and results to and from any ELN, LIMS, or LES with a library of productized lab data automation workflows, including bidirectional integrations. Eliminate manual transcription.

Watch example video

Unlock the power of your data at enterprise scale

Automate data flow to any ELN, LIMS, or MES

Seamlessly transfer results into ELN, LIMS, MES, and other software using a library of 100s of productized pipelines, reducing custom development.

Centralize and scale siloed scripts

Deploy your pre-existing Python and R scripts into a cloud-based fully scalable and automated data engineering stack, reducing maintenance and ownership burden.

Build and scale with a self-service toolkit

Leverage self-service tools to build and deploy custom parsers, pipelines, and integrations while maintaining full control to scale, extend, and evolve workflows and the platform.

Move faster from development to production

Employ our organizational guidance and templates to organize CI/CD processes, migrate solutions to testing and production systems, and perform last-mile pipeline validation (for GxP customers).

Diagnose and troubleshoot pipeline errors

Use pre-built dashboards to diagnose issues with automation (throughput, error handling, duration, etc.), chart data lineage through pipelines, and understand upgrade implications for downstream systems.

Library of 100s of productized pipelines

Automate data flow to any ELN, LIMS, or MES

Seamlessly transfer results into ELN, LIMS, MES, and other software using a library of 100s of productized pipelines, reducing custom development.

Centralize and scale siloed scripts (R and Python)

Centralize and scale siloed scripts

Deploy your pre-existing Python and R scripts into a cloud-based fully scalable and automated data engineering stack, reducing maintenance and ownership burden.

Build and scale with a self-service toolkit

Build and scale with a self-service toolkit

Leverage self-service tools to build and deploy custom parsers, pipelines, and integrations while maintaining full control to scale, extend, and evolve workflows and the platform.

Guidance for moving from development to production

Move faster from development to production

Employ our organizational guidance and templates to organize CI/CD processes, migrate solutions to testing and production systems, and perform last-mile pipeline validation (for GxP customers).

Diagnose and troubleshoot pipeline errors (and data lineage)

Diagnose and troubleshoot pipeline errors

Use pre-built dashboards to diagnose issues with automation (throughput, error handling, duration, etc.), chart data lineage through pipelines, and understand upgrade implications for downstream systems.

Tetra Data Capture App

Harmonize readings from instruments, metadata from your LIMS, and context from your ELN into a single, analysis-ready dataset.

With the Tetra Data Capture App, just snap a photo of your balance to capture the sample weight and instrument ID automatically.

A new approach to lab data workflows

Stop

Building bespoke integrations and engineering custom data schemas

Updating, maintaining, and revalidating a plethora of integrations

Start

Using pre-built pipelines from our library of productized lab data automation workflows to enable bi-directional integration

Leveraging low code / no code (AI-based) data scheme creation

Migrating your pre-existing lab data automation workflows to a centralized cloud-based solution

Building self-service pipelines and data schemas that can be customized through a low-code interface

Simplifying your data architecture with a single data layer for multiple ELNs across modalities

Minimizing your effort to improve scientific and lab data workflows

Stop

Wasting your time with manual data handling

Moving your scientific data and results

Ensuring correct data entries with second-scientist reviews

Correcting transcription errors

Redoing experiments

Start

Accessing data and results at your fingertips

Ensuring data integrity and compliance

Finding your data with context-aware metadata

Tracing your data with full lineage

Optimizing data quality through “scientist-in-the-loop” verification

Spending your time on science

Explore resources

Bridging network gaps: Connecting on-premise scientific data to cloud data platforms

Learn how to connect biopharma lab networks to the cloud, ensuring a smooth flow of scientific data while meeting enterprise security needs.

Accelerating chromatography workflows: Integration with Empower CDS and Veeva Vault LIMS

Discover how the Tetra Scientific Data and AI Cloud integrates with Empower CDS and Veeva Vault LIMS to enable a seamless flow of data between them.

Accelerating Batch Release with the Tetra Scientific Data and AI Cloud

Learn how the Tetra Scientific Data and AI Cloud eliminates manual transfer of information between scientific instruments and informatics systems. Using a titration experiment workflow as an example, this video shows how the TetraScience platform automatically transfers data between Signals Notebook and both LabX and tiamo instrument software.

Ready to start your AI data journey?

Find out what you need to embark on your AI journey and how to reach your goals faster.

Talk to an expert

We are glad to have TetraScience as our partner for large-scale onboarding of new lab data sources. We are looking forward to an ongoing collaboration with TetraScience as we make progress on the AI journey.

Dmitriy Ryaboy
VP of AI Enablement

TetraScience is the core platform for our scientific data and a real differentiator and accelerator to our business.

Bryan Holmes
Vice President Digital & Technical Solutions