You found the molecule. You found the market. Then the opportunity slowly stopped moving.

Most pharma opportunities don't fail. They stall between follow-ups, analysis, and handoffs until someone else gets there first.

Atorvastatin 20mg Brazil
Stalled

Week 1

Opportunity identified

Week 3

Viability analysis

Week 8

Partner search pending

Week 11

"Any update on this?"

Week 14

Competitor filed first

2 wks
5 wks
3 wks
3 wks
Total elapsed: 14 weeks Active work: ~3 weeks
11 weeks of drift
Why opportunities stall

Two problems that feed each other.

Every stage of the launch cycle has the same two failures. They compound.

The data problem

The information exists but it's fragmented across trade databases, regulatory registries, and company filings. Teams buy from multiple vendors and still piece together an incomplete picture. The same cross-referencing repeats every quarter. It never compounds.

Trade DBs Reg. Registries Company Filings Pricing Data Email Threads Spreadsheets Consultant Reports

The execution problem

Analysis lives in spreadsheets and dies in email. Nobody tracks the critical path. Competitive intelligence is quarterly instead of continuous. When people change roles, institutional knowledge walks out with them.

Week 1
Opportunity identified
Week 3
Analyst assigned
Week 5
Still gathering data...
Week 9
Priorities shifted
Week 14
Competitor entered first

Bad data leads to slow decisions. Slow decisions lead to missed timelines. Missed timelines lead to missed markets.

300,000,000
The Pharma Graph

Everything starts with the Pharma Graph.

300M+ pharma supply chain data points across 126 markets, updated weekly. The foundation that powers the Playground and Fred.

300M+

Data points

126

Markets

Weekly

Updates

Global Intermediates/API/FDF import & export
MA holders registration Soon
IP landscape Soon
Pharmaceutical tenders Soon
Drug shortage notices Soon
Pharma companies & people directory Soon
Learn more about the Pharma Graph
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Level 1: Explore

Query any molecule, any market, in seconds.

The Playground gives your team direct access to the Pharma Graph. Market sizing that used to take your analyst six weeks now takes five minutes.

See what the Playground can do
playground.pharmadb.ai
Atorvastatin market potential in Brazil

Brazil imported $142M of Atorvastatin FDFs in the last 12 months, growing +23% YoY. There are 14 active importers.

Import Volume

$142M

YoY Growth

+23%

Players

14

Level 2: Accelerate

Meet Fred.

Your AI Lifecycle Manager.

The Playground gives you answers. Fred gives you execution. He evaluates opportunities, identifies partners, drafts outreach, and runs diligence so your pipeline never stalls between steps.

See what Fred can do
Fred 2 min ago

Atorvastatin, Brazil: market import volume grew 23% YoY. Top partner match is Aurobindo (92% fit score). Draft outreach is ready for your review.

Review outreach View scorecard
trade-api Brazil FDF imports
web-search ANVISA pathway
memory Prior analysis

Common questions

What is the Pharma Graph?

The Pharma Graph is PharmaDB's proprietary data foundation: 300M+ pharma supply chain data points covering 126 markets worldwide. It includes trade flows, regulatory registrations, company intelligence, pricing data, and more, updated weekly. Everything in PharmaDB, from the Playground to Fred, is powered by this data.

Where does the data come from?

We aggregate and normalize data from customs and trade databases, national regulatory authorities, WHO prequalification records, corporate filings, and proprietary sources. Every data point is timestamped, sourced, and cross-referenced so your team can trust what they're seeing.

What can I do in the Playground?

The Playground gives your team direct access to the Pharma Graph through natural language queries. Ask about any molecule in any market: import volumes, growth trends, competitive landscape, top suppliers, pricing intelligence. Market sizing that used to take weeks now takes minutes.

Is the Playground a chatbot?

No. The Playground returns structured data, not conversational responses. You get tables, charts, and exportable numbers grounded in the Pharma Graph. Think of it as a query interface for pharma supply chain intelligence, not a general-purpose AI assistant.

What exactly is Fred?

Fred is an autonomous AI lifecycle manager built on top of the Pharma Graph. He doesn't just answer questions. He drives your pipeline forward: evaluating viability, identifying partners, drafting outreach, and running diligence continuously. He posts findings to your workspace and surfaces the next required action so opportunities never stall between steps.

Does Fred replace our BD team?

No. Fred replaces the repetitive data work and follow-through that causes opportunities to stall: the market sizing, the partner screening, the template emails, the diligence checklists. Your BD team makes every strategic decision. Fred makes sure they have what they need to decide faster, and that nothing drifts between steps.

How do we get started?

Book a demo with our team. We'll walk through your current pipeline, show Fred advancing a real opportunity live, and discuss configuration for your therapeutic areas and target markets. Every deployment comes with dedicated expert onboarding.

Is my data secure?

PharmaDB uses enterprise-grade security with SOC 2 compliance, encrypted data at rest and in transit, and role-based access controls. Your pipeline data is never shared or used to train models.

Every product launch needs someone who never stops driving it.

Book a 30-minute demo. We'll show Fred advance a real opportunity in your pipeline, live.