# Tenseq

**Source:** https://www.startuphub.ai/startups/tenseq
**Profile type:** Startup

> A software and data partner for life science research and operations, building bioinformatics pipelines, machine learning models, and scientific software.

## About

Tenseq is a software and data partner for life science research and operations. They build bioinformatics pipelines, machine learning models, scientific software, and the laboratory and data systems that CROs, CDMOs, and biotech companies run on. Their code is built to a regulated standard, with audit trails, lineage, and data integrity controls that support GMP and GxP compliance, including 21 CFR Part 11.

## Key facts

- **Slug:** tenseq
- **Website:** https://tenseq.com
- **Location:** London, United Kingdom
- **Founded:** 2026-06-23
- **Operating status:** Active
- **Sectors / tags:** Bioinformatics, Life Sciences Software, Machine Learning, Scientific Software, Data Infrastructure, Biotech, CRO Software, CDMO Software, GMP Compliance, GxP Compliance, Cloud Computing, AWS, Azure, Google Cloud, Python, Rust, TypeScript, Nextflow, Snakemake, nf-core, Containerization, Workflow Automation

## Frequently asked

### What does Tenseq do?

Tenseq is a software and data partner for life science research and operations. They build bioinformatics pipelines, machine learning models, scientific software, and the laboratory and data systems that CROs, CDMOs, and biotech companies run on. Their code is built to a regulated standard, with audit trails, lineage, and data integrity controls that support GMP and GxP compliance, including 21 CFR Part 11.

### Is Tenseq trustworthy and reputable?

StartupHub's Data Trust & Reputation score for Tenseq is 37 out of 100, based on site security posture and privacy practices.

### Where is Tenseq headquartered?

Tenseq is headquartered in London, United Kingdom.

### When was Tenseq founded?

Tenseq was founded in 2026.

### What industry does Tenseq operate in?

Tenseq operates in Bioinformatics, Life Sciences Software, Machine Learning, Scientific Software, Data Infrastructure, Biotech.

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