Synthace

No-code experiment design and lab automation platform for design-of-experiments workflows in life sciences R&D.

Synthace, founded in 2011 and headquartered in London, United Kingdom, provides a cloud platform for designing multifactorial experiments, driving lab automation equipment, and capturing structured experimental data — supporting design-of-experiments (DOE) approaches in biology R&D. The company raised a $35M Series C in November 2021. It does not publish a public security certification page, so request documentation during evaluation.

Headquarters
London, United Kingdom
Founded
2011
Deployment options
cloud
Website
https://www.synthace.com
LinkedIn
https://www.linkedin.com/company/synthace-limited

Categories

Vendor Scorecard

36% — Limited coverage. Coverage score — how completely Atlas documents Synthace across 7 buyer-evaluation areas. Reflects available Atlas data, not solution quality.

Compliance & Validation — Not documented by Atlas

Ask the vendor: Which compliance certifications (HIPAA, 21 CFR Part 11, SOC 2, GxP) do you hold?

Deployment & Hosting — Documented

cloud

Pricing Transparency — Not documented by Atlas

Ask the vendor: What is your pricing model, and what drives total cost of ownership?

Implementation & Onboarding — Not documented by Atlas

Ask the vendor: What is a realistic implementation timeline, and what onboarding support is included?

Organization & Role Fit — Documented

Biotech Startup, Mid-Size Biotech, Large Pharma, Drug Discovery, R&D Leadership, Data Engineer / Architect

Solution Scope — Not documented by Atlas

Data & AI Infrastructure

Company Viability — Partially documented

Series C, Founded 2011

Always ask the vendor

Not captured in Atlas data — confirm directly. Excluded from the score above.

Data Rights & IP

Who owns model outputs? Is our proprietary data used to train models others can access, and where does our data reside?

Model Credibility & Explainability

Can you share validation studies or benchmarks, explain how the model reaches its conclusions, and describe how bias and drift are monitored?

Questions to Ask This Vendor

  • Which lab automation devices and instruments are supported today?
  • How does the platform integrate with our existing ELN or LIMS?
  • What security and compliance documentation can be provided?
  • What does onboarding look like for a team new to design-of-experiments methods?