PharmaDB
Use case · Supplier Discovery & Qualification · WHO-PQ Accredited Plant Shortlist v.04.2026 · refreshed monthly
Use cases Supplier Discovery & Qualification WHO-PQ Accredited Plant Shortlist
Supplier Discovery & Qualification Buyer view Data · WHO prequalification registerData · FDA plant register Live

WHO-PQ Accredited Plant Shortlist

Find plants prequalified by WHO for access-market supply. UNICEF, Global Fund, and GAVI institutional procurement pool, by molecule and region.

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Example output · WHO-PQ accredited plant shortlist
88 Active WHO prequalifications across all plants · live register, 2026-05
n=88 plants · WHO PQ register Authoritative

Eighty-eight active WHO prequalifications sit on the register today, concentrated in Guilin Pharmaceutical (34 active PQs, China), Laurus Labs (18 active PQs, India), and Antibiotice SA (7 active PQs, Romania). The cohort is the institutional procurement pool: plants that have passed the WHO assessment and can supply UNICEF, GAVI, the Global Fund, and major access-market tenders.

# PlantRegionActive PQsOther regulatorsInspection
1 Guilin Pharmaceutical CN · Guilin 34 PQs EDQM + FDA overlap NAI
2 Laurus Labs IN · Anakapalli 18 PQs FDA + EDQM overlap NAI
3 Antibiotice SA RO · Iași 7 PQs EDQM overlap NAI
4 Qinhuangdao Zizhu CN · Qinhuangdao 5 PQs EDQM overlap NAI
5 Shijiazhuang Lonzeal CN · Shijiazhuang 3 PQs EDQM overlap VAI
6 Micro Labs IN · Bengaluru 3 PQs FDA + EDQM overlap NAI
7 Jiangsu Weiqida CN · Jiangsu 2 PQs EDQM overlap VAI
8 Sanofi-Aventis Deutschland DE · Frankfurt 2 PQs FDA + EMA overlap NAI
Active PQs
88
Distinct plants
27
Chinese plants in cohort
9 of 27
Indian plants in cohort
4 of 27
30 seconds

How it works

molecule losartan origin IN destination BR
01

Set the scope.

All WHO-PQ plants, region-specific, or molecule-specific. The AI agent pulls the cohort matching the filter.

0 HHI 0.42 1
computed · pre-joined · anonymised
02

The AI agent ranks the plants.

Active prequalification count, parallel regulator overlap (FDA, EDQM), and inspection class join at the schema layer.

brief · cited
Lane concentration · structurally concentrated
HHI0.42
Top-3 share71%
Actionqualify second source
03

Save the institutional pool.

Citation-anchored brief with the qualifying plants, PQ count, regulator chips, and a molecule-coverage chip.

Why a buyer runs it

The institutional procurement pool, one query.

Access-market qualified.

UNICEF, Global Fund, GAVI, and major LMIC tenders require WHO-PQ at the plant level. The cohort is pre-filtered to plants eligible to compete.

Regulator overlap visible.

WHO-PQ plants with parallel FDA or EDQM coverage signal the highest quality tier. Trans-jurisdictional supply candidates surface as the deepest cells.

PQ count is the depth signal.

A plant with 18 active PQs has scaled its institutional supply across many molecules. A plant with one PQ may be qualified but commercially thin. The chip surfaces both.

Refreshes monthly.

WHO publishes register updates on a rolling cycle. PharmaDB normalises to monthly refresh; the catalog row carries an as-of timestamp.

What a real chat looks like

Type a scope. The AI agent returns the WHO-PQ shortlist.

A real chat thread in PharmaDB. Type a question, the AI agent runs the tools, the answer lands as a saveable note.

WHO-PQ plants · institutional pool
chat · saved 2 min ago
You
Surface every WHO-PQ accredited plant ranked by active prequalification count. Show molecule coverage and parallel FDA / EDQM accreditation.
F
Running tool pharmagraph_query
plant_accreditations ⋈ plants · regulator=who_pq · status=active
F
The WHO-PQ register carries 88 active prequalifications across 27 distinct plants. Guilin Pharmaceutical leads with 34 active PQs, followed by Laurus Labs (18) and Antibiotice (7). The deepest cells in the shortlist are plants with WHO-PQ + FDA + EDQM coverage simultaneously: the institutional anchors that serve both access markets and US/EU lanes from the same facility.
WHO-PQ accredited plants · top 6
1 Guilin Pharma · CN · 34 PQs EDQM + FDA overlap · NAI plant · institutional anchor
2 Laurus Labs · IN · 18 PQs FDA + EDQM overlap · Anakapalli · qualifiable shortlist top
3 Antibiotice SA · RO · 7 PQs EDQM overlap · European institutional anchor
+24 more · open in PharmaDB
Cited plant_accreditations 88 active PQs plants 27 distinct inspections regulator overlap
Ask a follow-up... ⌘ ↵
Time-to-answer

Manual workflow vs. PharmaDB.

Manual workflow
Excel · email · syndicated reports
  1. 01 Pull the WHO prequalification register 1-2 hr
  2. 02 Resolve plant names to canonical entities 3-4 hr
  3. 03 Aggregate active PQ count per plant 1-2 hr
  4. 04 Cross-reference parallel FDA / EDQM coverage 3-4 hr
  5. 05 Join molecule coverage per plant 2-3 hr
Total cycle time 1-2 days
PharmaDB
The AI agent · one query · cited
One query.
Pre-joined warehouse. WHO-PQ register is resolved to the canonical plant catalog; regulator overlap and molecule coverage join at the schema layer. The AI agent returns the shortlist with citation.
Total cycle time Under a minute
Run it across your portfolio

WHO-PQ depth, by cohort.

WHO-PQ register · counts by cohort and overlap category, live snapshot.

Total active PQs deep
88 plants / PQs
Distinct WHO-PQ plants deep
27 plants / PQs
Plants with PQ + FDA adequate
12 plants / PQs
Plants with PQ + EDQM adequate
14 plants / PQs
Plants with PQ + FDA + EDQM adequate
7 plants / PQs
Chinese plants in cohort adequate
9 plants / PQs
Indian plants in cohort adequate
4 plants / PQs
European plants in cohort adequate
8 plants / PQs
Plants with 10+ active PQs thin
2 plants / PQs
Plants with 5-10 active PQs adequate
3 plants / PQs
Plants with 1-2 active PQs deep
18 plants / PQs
NAI-classed WHO-PQ plants deep
21 plants / PQs
VAI-classed WHO-PQ plants adequate
5 plants / PQs
OAI-classed WHO-PQ plants thin
1 plants / PQs
watch
Antiretroviral cohort coverage adequate
9 plants / PQs
Antimalarial cohort coverage adequate
6 plants / PQs
Tuberculosis cohort coverage adequate
4 plants / PQs
Thin · < 3 suppliers · qualify additions Adequate · 3–17 Deep · 18+ · negotiable

WHO-PQ accreditation is the gate for access-market institutional procurement. PharmaDB joins the live WHO register to the canonical plant catalog and surfaces the qualifying cohort with parallel regulator overlap and inspection class. The view rests on plant_accreditations (regulator=‘who_pq’). Refresh cadence is monthly.

FAQ

Frequently asked

What is WHO Prequalification (PQ)?+

A WHO programme that assesses pharmaceutical products and the plants making them for quality, safety, and efficacy, primarily for access-market institutional procurement. UNICEF, the Global Fund, GAVI, and major LMIC tenders typically require WHO-PQ at the plant and product level.

How is PQ different from FDA approval?+

WHO-PQ is a UN-led assessment focused on access-market supply (LMICs, institutional buyers). FDA approval is a US regulatory action focused on the US commercial market. Many plants hold both; the WHO-PQ assessment leverages FDA inspection findings but applies WHO criteria.

Why is Guilin Pharmaceutical so dominant?+

Guilin has scaled its antimalarial and tuberculosis API capacity through the 2010s with WHO-PQ at the centre of its commercial model. The 34 active PQs reflect a deep institutional procurement focus, not casual coverage.

Are FDF prequalifications included?+

Yes. The view covers both FDF (finished dosage) and API prequalifications. The chip labels which type each PQ is; many plants hold a mix.

How does this connect to UNICEF and Global Fund tendering?+

WHO-PQ at the plant is necessary but not sufficient for institutional procurement; the product-level prequalification matters and so does the institutional buyer's own qualification audit. The companion analysis 'Institutional procurement BD' surfaces tender flow and award patterns.

How fresh is the data?+

Monthly. The WHO prequalification register publishes on a rolling cycle. PharmaDB normalises to monthly refresh; the catalog row carries an as-of timestamp on every result page.

Run your question.

Bring the molecule, the lane, or the supplier you're sourcing this week. The AI agent runs it on PharmaDB in 30 minutes. You keep the brief.

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