Enterprise · pharma and biotech
A fast-fail filter for the literature.
Your department reads more promising papers than it can ever re-implement. OpenAlgo turns a two-week evaluation into a ten-minute review, standardizes the code that comes out, and runs inside your infrastructure under your retention policy.
The math
Dead ends are the most expensive thing your team produces.
$200k+
a year for a senior computational chemist
2 weeks
to re-implement a paper by hand before you know if it holds
10 min
to review an OpenAlgo extraction and see its gaps
Two weeks spent proving that a paper overfit is roughly $7,700 of payroll on a dead end — before anyone touches your own compounds. Multiply by every paper your team evaluates in a quarter.
Custom template libraries
Your team has internal wrappers, ELN integrations, scoring functions and naming conventions that off-the-shelf generation will never respect. Upload your own templates — YAML config files and Jinja2 scaffolds — so every generated project matches your standards from the first line.
Template validation
Upload and lint templates before they go live. Catch errors before your team does.
Internal library support
Reference your proprietary packages, such as your own RDKit wrappers, in generated code.
ELN hooks
Generated projects include hooks for your electronic lab notebook: Benchling, Signals or custom.
Team-wide consistency
Every researcher gets the same scaffolding, imports and structure.
VPC deployment & retention controls
Compliance teams will not approve tools that process proprietary PDFs on shared infrastructure. That is a reasonable position. Deploy OpenAlgo in your own AWS or GCP environment with a customer-approved retention policy, private provider configuration, and purge controls verified before any zero-retention claim is made.
Docker & Helm deployment
Ship OpenAlgo into your VPC with standard container tooling. No custom infrastructure.
SOC 2 readiness
Audit logs, access controls and encryption at rest, with documentation for your compliance team.
Retention policy controls
Retention windows, purge jobs and audit evidence configured per deployment before production use.
Private deployment option
Customer-owned infrastructure with provider routing reviewed up front.
Team analytics
Papers evaluated per quarter, template usage and reproducibility scores across the team: a dashboard for the leader who has to justify the tool and the lead who has to understand adoption.
Papers evaluated
Volume by team, project and quarter.
Template usage
Which custom templates are used most, and which need updating.
Reproducibility scores
Code-quality and reproducibility metrics across every generated project.
Plans
What’s included
How it starts
No sales deck. A technical conversation.
Requirements
We walk through your compliance requirements, template needs and deployment constraints with the people who own them.
Deployment plan
Where OpenAlgo runs, which providers it calls, and the retention and purge controls to verify before production.
Team pilot
Your chemists evaluate your papers with dedicated onboarding and priority support.
Double the papers your team can evaluate.
Tell us about your compliance requirements, templates and deployment constraints. Typical response within one business day.