Accelerating Omics Data Harmonization with AI

Try Lobster for free

Try Lobster for free

Try Lobster for free

Turn raw biomedical datasets into ML-ready insights in hours, not weeks, built on an open-source foundation with enterprise-ready extensions.

Based on trusted medical sources

SPEED WITHOUT THE BOTTLENECK

SPEED WITHOUT THE BOTTLENECK

SPEED WITHOUT THE BOTTLENECK

Most dry-lab scientists spend up to 80% of their time cleaning and annotating data before real work can begin.
Omics-OS automates this step end-to-end, harmonizing omics and clinical data in hours instead of weeks. The result: faster discoveries, smoother workflows, and more time for innovation.

WHAT YOU GET

WHAT YOU GET

WHAT YOU GET

AI-Native, Multi-Agent Architecture

Datasets

Today

Nov, 11

Nov, 10

Cost effective intelligence

Reduce the time and cost of data preparation with automation that scales from small datasets to enterprise-level pipelines.

REVIEWED

40 grams of fiber

Colorectal health

NEW

QC passed

Colorectal scRNA study

NEW

Personalized Workflows

Our AI agents adapt harmonization pipelines to your unique datasets, drawing on best practices from thousands of studies.

60

65

70

75

80

85

90

Unmatched Accuracy

Achieve high-fidelity harmonization with validated pipelines that improve reproducibility and model performance.

We’re ready to meet your evolving needs.

Easy API integration

Seamlessly connect your backend to our API

Designed for compliance

Built to meet ISO 27001 and SOC 2 standards

HOW IT WORKS

HOW IT WORKS

HOW IT WORKS

Open-Source Foundation,
Enterprise Strength

Ingest & Select Modalities

Load transcriptomics, proteomics, and clinical datasets directly from your sources or repositories.

Harmonize with Agentic AI

Specialized agents clean, annotate, and standardize your datasets — creating reliable, ML-ready knowledge graphs.

Scale as Enterprise

Move from research-grade to production with enterprise features for compliance, security, and large-scale integration.

60%

Less time wasted

3

Companies are already using it

100%

Satisfied customers

FAQs

FAQs

FAQs

We’ve got the answers

How reliable is the automated data harmonization?

Omics-OS uses AI agents and modular pipelines to clean, standardize, and integrate multi-omics and clinical data. Every dataset undergoes schema validation, quality control, and provenance tracking, producing ML-ready outputs with reproducible accuracy comparable to manual bioinformatics workflows.

How does it fit into our existing workflows?

What data types and formats are supported?

How fast is processing, and what does “ML-ready” mean?

How secure is the data, and do you meet regulatory requirements?

Can users audit or access processed datasets?

How scalable is the platform for large biotech/pharma projects?

How is this tool different from traditional bioinformatics tools?

How reliable is the automated data harmonization?

Omics-OS uses AI agents and modular pipelines to clean, standardize, and integrate multi-omics and clinical data. Every dataset undergoes schema validation, quality control, and provenance tracking, producing ML-ready outputs with reproducible accuracy comparable to manual bioinformatics workflows.

How does it fit into our existing workflows?

What data types and formats are supported?

How fast is processing, and what does “ML-ready” mean?

How secure is the data, and do you meet regulatory requirements?

Can users audit or access processed datasets?

How scalable is the platform for large biotech/pharma projects?

How is this tool different from traditional bioinformatics tools?

How reliable is the automated data harmonization?

Omics-OS uses AI agents and modular pipelines to clean, standardize, and integrate multi-omics and clinical data. Every dataset undergoes schema validation, quality control, and provenance tracking, producing ML-ready outputs with reproducible accuracy comparable to manual bioinformatics workflows.

How does it fit into our existing workflows?

What data types and formats are supported?

How fast is processing, and what does “ML-ready” mean?

How secure is the data, and do you meet regulatory requirements?

Can users audit or access processed datasets?

How scalable is the platform for large biotech/pharma projects?

How is this tool different from traditional bioinformatics tools?

Still have more questions? Contact our help center.

Still have more questions? Reach out.

Accelerate discovery, not just analysis

Automate data cleaning, integration, and harmonization across all modalities, getting you from raw data to actionable insights in hours.