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You Define the Objective.

Ferma Delivers the Output.

Ferma's Agentic Workflows automate life sciences intelligence workflows, pulling from 12+ data source types, applying your methodology, and producing finished deliverables in your format. This is pharma AI workflow automation built for how CI, BD&L, NPP, and Medical Affairs teams actually work.
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The Ferma Platform

 Where your life sciences intelligence methodology becomes the Agentic Workflow's plan
How it works
how it works

Four Steps to a Finished Life Sciences Intelligence Deliverable.

S T E P  1

 

Define Your Objective

Tell Ferma what you're working on - a pharma competitive intelligence landscape, a BD asset screen, a conference coverage brief, or a competitor pipeline monitor. Your methodology is encoded as the Agentic Workflow's plan: step by step, data source by data source.

S T E P  2

 

Agents Execute

Ferma pulls from preclinical, clinical, commercial, regulatory, and conference data — applies your encoded methodology — and surfaces structured intelligence as it emerges.

S T E P  3

 

Review & Validate

You review the output, refine the plan, and iterate. Ferma's Agentic Workflows are transparent — every step is auditable, every data point is cited to source. You own the methodology. Agents handle the execution.

S T E P  4

 

Receive Your Deliverable

A finished, cited output — competitive landscape brief, BD screener package, conference coverage summary, portfolio analysis — formatted for your stakeholders. Exportable to PowerPoint, Excel, or PDF. Ready to send.

Decision-Ready Outputs at Your Fingertips

S C R E E N

33,575 drugs → 5 targets

O B J E C T I V E
Identify acquirable CDH17 ADC assets before the competitive window closes. Screened 33,575 drugs through a 7-stage funnel.

 


O U T P U T
Ranked shortlist with composite scorecard, revenue model, catalyst timeline, and deal validation package. Every data point cited.

V A L U E

Defensible rNPV before you negotiate

O B J E C T I V E
Model risk-adjusted value before initiating deal discussions. Bottom-up rNPV using epidemiology, clinical PoS by phase, pricing benchmarks, and competitive dynamics.

 


O U T P U T
Interactive model with scenario analysis, sensitivity tables, and deal structure recommendations.

M O N I T O R

Real-time competitive threat assessment

O B J E C T I V E
Assess competitive threat from cemsidomide to your IKZF1/3 portfolio. Monitors BMS's asset across clinical readouts, regulatory filings, conference presentations, and partnership signals.

 


O U T P U T
CI report with threat assessment, market share modeling, and catalyst timeline. Continuously updated.

Built on the Life Sciences Data Sources That Power Every Intelligence Workflow

211000
+
Clinical Trials Indexed
489000
+
Scientific Records Across 250+ Conferences
246000
+
Publications
39000
+
Pipeline Assets (Preclinical to Commercial)
4000
+
Regulatory Actions, Approvals & FDA Labels
84000
+
Investor Reports & Filings
15
+
APAC Markets
264000
+
News & Press Articles
62000
+
HCPs in Primary Research Panel

Deliverables, Not Just Dashboards

PPT
PowerPoint
Stakeholder-ready slides
Excel
Excel
Models, comps, data tables
PDF
PDF
Cited, formatted, share-ready reports
Dashboards
Dashboards
Live, filterable, shareable
Email
Email Briefs
Scheduled delivery to inbox
Chat
Chat
 Ask questions, explore data, refine outputs

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Frequently Asked Questions

What is an Agentic Workflow?

An Agentic Workflow is a pre-built AI agent in Ferma that encodes a specific life sciences research process — such as an opportunity screen, competitive landscape, or conference coverage brief — end to end. You define the objective and parameters; the workflow pulls from multiple data sources, applies your methodology, and produces a finished, cited deliverable in your format.

How is Ferma different from Cortellis or AlphaSense?

Cortellis and AlphaSense are data platforms, they return search results your team must extract, reconcile, and synthesize manually. Ferma's life sciences intelligence workflow automation takes the output as the starting point: Agentic Workflows run the full process from data collection through synthesis and formatting, producing committee-ready deliverables without the manual assembly step. Cortellis data refreshes approximately 60% annually; Ferma monitors continuously.

Does Ferma cover conference data as part of the same platform as market intelligence?

Yes. Conference coverage is a native Agentic Workflow within Ferma — not a separate product. CI, Medical Affairs, and BD&L teams access conference coverage through the same platform they use for pipeline monitoring and landscape reporting. Pre-congress planning, live session coverage, and AI-generated summaries are all part of the same workflow.

What data sources does Ferma pull from for life sciences intelligence workflows?

Ferma monitors 12+ life sciences data source types, including 211,000+ clinical trials, 489,000+ conference records across 250+ scientific conferences, 246,000+ publications, 39,000+ pipeline assets, regulatory actions, investor reports, and APAC/China pipeline data in native language. All data is resolved at the asset level, meaning every clinical result, deal, filing, and conference presentation is linked to a single drug or compound — not stored as isolated events.