A single drug's picture is fragmented across regulators, registries, and retail catalogues.
India's 597K drug brands are spread across CDSCO approvals, NLEM listings, DPCO price ceilings, FAERS adverse-event signals, CPIC pharmacogenomic guidance, and proprietary clinical references — each owned by a different authority, each with its own update cadence, each missing what the others have. Clinicians, pharmacists, and research teams reconcile these manually, every time, because nothing has put them in one place.
DrugIQ does the reconciliation once: every brand mapped to its molecule, every molecule cross-walked across CPIC / FDA / EMA / PharmGKB, every adverse-event signal severity-tiered against authoritative sources. One drug, one queryable record — the boring-but-critical canonical layer that lets your team work from cited truth.
A unified Indian pharmaceutical data layer, canonicalized across regulators.
Every product deduplicated to the molecule, then cross-walked across regulatory and scientific sources. The figures below are queried from the live database at build time.
Linked into the global chemistry graph.
Canonical molecules carry external identifiers that connect Indian drugs to ChEMBL bioactivities, RxNorm clinical concepts, PubChem chemistry, and FDA UNII codes. Linkage rates on the curated molecule layer below — actively expanding as the layer is enriched.
Beyond the retail catalogue.
The four categories of pharmaceutical intelligence India needs and most sources don't carry. Cross-cutting, structured, queryable.
Clinical-grade monographs
Class B monographs with bias audits, regulatory context, and India-specific positioning. The boring-but-critical caveats retail catalogues skip.
Pharmacogenomic recommendations
CPIC / DPWG / FDA Level-A recommendations cross-linked at the molecule level. Surface CYP2C19 / HLA-B*15:02 / TPMT signals before you write.
Adverse-event signal layer
FAERS / EMA / CDSCO disproportionality scores (PRR / ROR), severity-tiered. Real signals, not headline anecdotes.
Salt-canonical resolution
One molecule, hundreds of brands. The data layer canonicalizes at the salt level — your queries don't hop through 50 spelling variants.
See the data your prescription deserves.
Each DrugIQ drug page bundles composition, salt-canonical lineage, regulator status, brand alternatives, pricing telemetry, pharmacogenomic recommendations, and adverse-event signals. One page, one source of truth.
- Composition + dosage form + strength
- Salt-anchored brand alternatives
- Pharmacogenomic alerts (CPIC Level A first)
- Adverse-event severity & disproportionality
- Pricing across channels, time-series
- Source attribution for every claim
Three pieces. One coherent product.
Ingest authoritative sources
PubChem, ChEMBL, RxNorm, CPIC, FDA SPL, EMA EPAR, CDSCO, NLEM, NPPA. Plus Indian retailer signals. Refreshed periodically as upstream sources publish updates.
Canonicalise at the salt level
Salt-canonical anchoring deduplicates ~578K products down to 2,951 canonical molecules. Cross-walks across regulators happen at the molecule level, never at the brand level.
Surface the clinical layer
Pharmacogenomic recommendations, adverse-event signals, regulatory facts, alternative-drug graphs — exposed via API and a queryable data product, not buried in PDFs.
People who need answers, not headlines.
Clinicians
PGx alerts at the point of prescribing. Real adverse-event severity, not anecdotes.
Pharmacists
Substitution checks, dispense-side verification, salt-canonical lookups.
Researchers
Structured access to a deduplicated pharmaceutical layer with source attribution.
Pharma industry
Competitive intelligence, regulatory comparators, brand-level pricing telemetry.
Every claim has a source. Every monograph has a review.
Class B clinical monographs follow a 22-section playbook with an explicit bias audit. Fields are refreshed periodically, prioritised by safety-criticality. The full operating contract is public.
Class B monograph review
22-section structure with bias audit, retailer-leak scan, regulatory-context anchor.
Source attribution per field
Each clinical fact carries an attribution row — source, retrieval date, reviewer, decay clock.
Trust tiers
Three explicit tiers: unverified (catalog-only), AI-reviewed (cross-checked), pharmacist-reviewed (signed off).
Refresh cadence
Periodic refresh, prioritised by safety-criticality. Last refresh shown on every page.