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Trusted by 100+ leading biopharma companies

For Data & AI Teams

Structured pharma data exports, REST API access, and AI workflow integration for the technical teams building life sciences intelligence infrastructure across pharma and biotech organizations.
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Your Organization Needs Life Sciences Intelligence Infrastructure, Not Just Another Dashboard.

Pharma data and AI teams need production-quality structured life sciences data that feeds internal models, dashboards, and workflows - not point solutions that require manual exports.

 

Ferma exposes structured pharma datasets at the asset level, resolving every drug, trial, deal, and regulatory action to a single core entity. REST API and MCP server integration are on the near-term roadmap.

Pharma Data & AI Capabilities

data exports
Structured data exports
(pipeline, deals, trials, readouts)
sftp delivery
SFTP delivery
api
API access
(Roadmap)
MCP
MCP Server integration 
(Roadmap)
Custom
Custom Agentic Workflow configuration
quote

Most intelligence tools are black boxes. Ferma shows its work — every data point is traceable to source, which is the only way our teams will trust it enough to put it in front of leadership.

Head of Data & AI
Pharma R&D Division
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Build Pharma Intelligence Infrastructure That Scales Across Your Organization.

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Frequently Asked Questions

How does Ferma's data compare to Cortellis for programmatic access?

Cortellis exposes data via API but the data model is event-organized, not asset-organized meaning your team still builds the integration layer from scratch. Ferma's pharma data API resolves every data point to a core entity (drug, organization, trial) so one query returns the full picture for an asset: clinical results, deal history, regulatory status, and competitive context, all linked at the compound level. For pharma data and AI teams building internal intelligence infrastructure, that means a cleaner data spine from day one.

What structured data types does Ferma export for Data & AI teams?

Ferma exports structured datasets across four primary data domains: pipeline assets (39,000+ drugs from preclinical through commercial), clinical trials (211,000+ indexed), deals and licensing transactions, and readout data. All data is resolved at the asset level - every trial, deal, and regulatory action linked to a single drug or compound entity. Export formats include structured data files via SFTP, with REST API access on the roadmap for programmatic queries.

How does Ferma's data model differ from other pharma intelligence platforms?

Most pharma intelligence platforms organize data by event - a trial result, a regulatory filing, a conference presentation - stored as separate records your team must manually reconcile to build an asset view. Ferma resolves every data point to a core entity at ingestion: drug, organization, or trial. One query returns the complete picture for an asset across clinical, commercial, regulatory, and competitive dimensions. For pharma data and AI teams, this means significantly less time building the integration layer and more time building intelligence on top of it.