PharmaDB
Sourcing intelligence for pharmaceutical generics v.04.2026 · refreshed weekly
LIVE Trade flows feed · losartan IN→BR · HHI 0.42 ↑ · metformin median $4.46 ↓4% YoY · atorvastatin · 45 active Type II DMFs · FDA warning letters · 2 new this week · amoxicillin IN→NG · top-3 share 68% · company registry · 180,783 resolved · last sync · 18:42 UTC

Pharma generics sourcing, consolidated.

The AI for pharma generics sourcing. Ask any sourcing question and get a cited answer from the PharmaGraph in minutes, saved as a shareable brief.

01 · The catalog

Six datasets. One query surface.

refreshed weekly · live · as of 2026-05-22
Trade flowsmolecule_country_flow
Cross-border pharma trade aggregates. 22 origin markets, 165 destinations, 1,180 molecules across 2022–2026. Columns: export_country, import_country, molecule_id, n_shipments, median_usd_per_kg.
35,156
weekly
Core
Companies + aliasesglobal_companies
Resolved company graph across 74 countries, plus 83,469 aliases. Columns: canonical_name, hq_country, ownership_type, ticker, industry.
180,783
weekly
Core
Regulatory filingsfilings
DMFs, ANDAs, NDAs, EU MAs and equivalents across 16 regulators. Linked to product_id, entity_id, manufacturer_entity_id, approval_status.
455,595
weekly
Core
Manufacturing plantsplants
Physical sites across 85 countries, 8,970 with FDA FEI numbers. Columns: name, country, entity_id, fda_fei, business_type.
30,391
weekly
Core
Inspections + eventscompliance_events
Inspections, warning letters, recalls, sanctions, and litigation across 12 regulators and 11 event types. Columns: event_type, regulator, severity, plant_id, entity_id.
69,075
weekly
Events
People + rolescompany_personnel
195,772 distinct people across 15,221 companies. Columns: person_uid, company_id, job_title, is_current, start_year.
212,788
monthly
Link
02 · How it works

Ask a question. Get a brief.

live · for procurement & BD
01
New chat · the AI agent losartan API
Find me three CEP holders for losartan with capacity above 100 tons and recent NAI inspections.
send

Ask in plain English.

Open a chat in PharmaDB. Type the sourcing question your team is currently building from Excel.

02
tool pharmagraph_schema
sql SELECT holder, plant, capacity_kg …
3,547 CEP rows · 142 matched
join inspections × filings × trade
9 candidates after capacity + NAI filter
writing brief

The AI routes the question.

The AI picks the right tables, runs the SQL, joins regulatory and inspection data, applies counterparty anonymisation, and writes back in the chat.

03
brief · citation-anchored ↗ share
Three CEP holders for losartan, capacity-qualified.
Candidates
9
NAI-inspected
3
Median capacity
180t
Sources EDQM CEP register · FDA inspections · trade flows

Save the brief.

Ask the AI to write it up. You get a citation-anchored note or an interactive page you can share with your team via a link.

03 · Same product, two questions

Both sides of the trade start here.

One product, one login, one bill. The dataset reads in either direction. Buyers bring a molecule, a dosage form, and a destination market. Suppliers bring a portfolio and a manufacturing or service footprint (API plants, FDF lines, CDMO capacity). The dataset is the same. The question is what differs.

For BD and procurement teams
Who can supply this?
"Walk in with a target molecule and a destination market. Walk out with a shortlist of qualified suppliers across API, FDF, CDMO, and intermediates, sourced from customs and regulatory records."
01

Qualified suppliers for a target molecule.

Filter active suppliers by regulatory status (DMF, CEP, ANDA holder, contract manufacturer), plant inspection history, recent shipment volume, product form, and exclusivity. Ranked against your destination market, anchored to clearance records.

02

Lane concentration and dual-source candidates.

Herfindahl-Hirschman Index, top-3 exporter share, and active-exporter count per molecule-lane. Surface registered second-source candidates with capacity headroom and clean inspection records.

03

USD/kg distribution by lane and quarter.

p25, median, and p75 unit-price benchmarks by molecule and country-pair (the lane). Aggregated to protect counterparty identity. Sourced from customs clearance records, never from vendor brochures or syndicated panels.

For pharma suppliers and BD teams
Who is buying this?
"Walk in with a portfolio of molecules you manufacture. Walk out with the destination markets you're under-indexed in, ranked by opportunity size."
01

Destination markets where you're under-indexed.

For each molecule you manufacture, see destination countries growing in import volume where your supplier share sits below the median for that lane. Aggregate trade data only. No named buyers.

02

Lanes structurally exposed to single-source risk.

HHI above 0.40 indicates single-source structural exposure on a buyer-side lane. Importers in those lanes are actively qualifying second sources. Approach with a registered supply story, not a cold pitch.

03

USD/kg benchmarks for the destination lane.

p25, median, and p75 unit-price benchmarks for the lane you're bidding into, anchored to the last 24 months of clearance records. Walk into the tender with the actual clearing range.

"
The first time pharma sourcing felt like a working dataset, not a quarterly bespoke project.
VP, BD · Indian pharma manufacturer · 2026

Bring three live sourcing questions.

We run them on PharmaDB, on screen, in a 30-minute working session. You keep the answers. No deck, no pitch.

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