Potato is an AI platform that helps life‑science researchers design and execute scientific experiments with an AI co‑scientist called Tater.

Who is Potato best for?

Potato is best for wet lab biologists, computational biologists, data scientists, and R&D teams in academia or industry.

Do I need to install anything to use Potato?

No, you use Potato through its web platform without needing to install software.

Is Potato free to use?

Yes, there’s a free Open Access plan you can start with.

Does Potato offer a free trial or demo?

Yes, you can start free with the Open Access plan and explore its features.

Does Potato have a plan for teams or businesses?

Yes, Potato offers paid plans with team and premium features.

Does Potato offer an API or integrations?

Based on pricing info from related listings, some paid plans include an API for data structuring and embedding.

How do I contact Potato support?

You can contact support by emailing hello@potato.ai

Potato: Reviews, Pricing, Alternatives & Features (2026)

Newsletters.ai — Learn about AI, the lazy way.

Available Via:Web

Visit Potato

Potato is a web-based AI platform for life science researchers, automation engineers, and R&D teams that accelerates scientific execution by helping design, run, and interpret experiments end to end.

Key capabilities include:

Protocol Builder that converts plain-language intent into lab-ready, literature-grounded wet lab protocols designed for reproducibility.
Paper Review that summarizes publications, critiques methods, and surfaces reproducible techniques with literature context.
Data Analysis Assistant that analyzes datasets via plain language, generating visualizations, statistics, and executable code for interpreting results.
Tater (AI co-scientist) that plans and iterates on projects, runs computational experiments with scalable workflows, and can translate protocols into robot-ready scripts for lab automation.

Pricing: Free and paid plans (specific tiers and amounts not provided).

Notable for its closed-loop research workflow, combining literature synthesis (including integration with peer-reviewed content via partners such as Wiley), protocol generation, computational execution, and results reporting in one system. Founded in 2023, it raised a $4.5M seed round (April 2025).