Benchling
The cloud R&D platform biotech teams run their labs on.
About
Benchling is the standard cloud platform for biotech R&D: electronic lab notebook, molecular biology suite (sequence design, plasmid maps, CRISPR guides), sample registry, and inventory tracking in one connected system. It turns scattered spreadsheets and paper notebooks into structured, searchable experimental data.
It is free for academic researchers with an institutional email, which is how it spread through universities. Companies pay from around $15K/year for small biotechs up to millions for large pharma. Newer AI modules add predictive modeling and workflow automation on top of the data layer.
What it can do
- Electronic lab notebook
- Molecular biology suite (sequences, plasmids, CRISPR)
- Sample registry and inventory management
- Workflow and request tracking
- Developer API and integrations
Setup
- Sign up at benchling.com with an institutional email (free for academics).
- Set up your lab's projects, registry schemas, and inventory locations.
- Record experiments in the electronic notebook linked to samples and sequences.
- Use the molecular biology tools for cloning and CRISPR design.
- Connect instruments and pipelines via the Benchling API.
Prerequisites
Institutional email for free academic access; paid plan for companies.
Use cases
Works with
Trust score — 8/10
Scored 8/10 (verified tier, metrics-v1). Evidence: industry standard R&D platform; hundreds of companies plus 1M+ academic users; actively developed; AI modules added in 2025; proprietary; free for academics, expensive enterprise contracts. Manual review: the default choice for biotech data infrastructure; switching costs are high by design. License: Proprietary SaaS; free academic tier..
How the trust score is built
Full methodology →- Adoption · stars/downloads, log-scaled vs peers
- 9.0/10
- Maintenance · recency, releases, issue load
- 9.0/10
- Openness · license + docs
- 2.0/10
- Manual review · sanity read + red-flag check
- 8.0/10
- · industry standard R&D platform; hundreds of companies plus 1M+ academic users
- · actively developed; AI modules added in 2025
- · proprietary; free for academics, expensive enterprise contracts
- · manual review: the default choice for biotech data infrastructure; switching costs are high by design
Sources
Every fact above was checked against these sources. Where a claim comes from the provider and couldn't be independently verified, the text says so.