The pharmaceutical data layer behind India's healthcare apps.
Every brand-name medicine in India, every molecule, every clinical fact — unified, structured, and exposed via API. Built for hospitals, e-pharmacies, EMRs, and prescriber tools. The picks-and-shovels play in a $24B pharmaceutical market.
India's pharmaceutical data is fragmented, inconsistent, and unowned.
Every healthcare application — from hospital EMRs to e-pharmacies to consumer apps — re-solves the same drug-data problem in isolation. Every team scrapes the same brands, parses the same labels, and stores them with their own schema. The result: incompatible datasets, duplicated effort, and clinical inconsistency at scale.
Of healthcare apps re-build the same drug DB
Every hospital EMR, e-pharmacy, prescriber tool, and patient app currently scrapes its own drug catalog. Hundreds of teams solving the same problem with incompatible schemas.
Of Indian drugs are counterfeit
Without a canonical reference layer, downstream applications can't reliably distinguish authentic from suspect SKUs at the catalog level — a compliance and safety crisis.
Schemas a typical Indian pharma stack reconciles
Hospital systems, EMRs, pharmacy chains, distributors, and regulators each maintain their own taxonomy. Integration is a permanent tax on every healthcare deployment.
One canonical layer. Every application reads from it.
DrugIQ is the unified pharmaceutical data graph for India — a single, salt-cascaded, regulator-cross-referenced layer that downstream applications consume via API. Build once, propagate to all consumers. New channels, new compliance, new clinical facts — all flow through DrugIQ first.
Built for scale from day one.
Salt-cascade architecture means a single deep enrichment of one molecule propagates to thousands of brand SKUs. One scrape, ten thousand drugs. That's why our coverage scaled to 578k in months, not years.
Every molecule cross-referenced to its global identifier set
Every Indian molecule resolves to its globally-recognized identifier set — PubChem CID, RxNorm CUI, ChEMBL ID, FDA UNII, CAS number, WHO ATC. This is the foundation of cross-jurisdiction drug resolution — the architectural prerequisite for expanding from India into 5+ additional emerging markets without rewriting the schema.
Coverage today — and the channels in pipeline.
DrugIQ ingests from all Indian pharmaceutical data channels. The list grows; the schema doesn't. Every new channel makes the canonical layer more authoritative without breaking downstream consumers.
Why this is hard to replicate.
Three structural advantages compounding over time. Each is hard for a new entrant to match in months or years.
Salt-cascade data architecture
Most drug DBs treat each brand as an independent record. DrugIQ's salt-cascade means one molecule's clinical content propagates to every brand sharing it — a 14× force-multiplier on enrichment cost. Replicating requires rebuilding the molecule resolution graph from scratch.
Velocity moat — first to scale
578k drugs is ~14× the next available open dataset. Data velocity compounds: every new channel we add increases coverage; competitors must catch up to a moving target. By the time someone replicates today, we're at retail + hospital + manufacturer feed depth.
Switching costs at the consumer layer
Once a hospital EMR or e-pharmacy integrates DrugIQ as their canonical drug layer, switching costs are immediate and high: their entire schema, search, alternates, and FAQs depend on our IDs. Same dynamic as Plaid for finance, Twilio for comms.
Regulator-cross-referenced provenance
Every fact in DrugIQ is traceable back to FDA, EMA, CDSCO, WHO, or NIH — providing court-defensible audit trails no scraper-only competitor can offer. Hospitals and insurance platforms can cite our IDs in formulary decisions and patient documentation.
Where this goes.
Tier 0 (the current canonical layer) is the foundation. The Tier ∞ phases turn the data layer into an agent layer — embedded AI, live signal feeds, multi-modal input, and real-world-evidence integration. Each phase is shippable on its own and compounds the moat.
Canonical layer + salt cascade + provenance
578k drugs unified; 1,704 molecules enriched; 4 channels live; pricing-history time series; trigram-indexed search; cross-source identity resolution. Available via authenticated REST API today.
Embedded AI on every datum
Anthropic-powered explanation layer. Hover any chart, get a paragraph. Click any DDI node, get the deeper "why." Each datum becomes self-explaining. Pages stop being reference and start being agent.
Provenance trails as a first-class feature
Click any fact → see source(s), date, confidence score. Trust visualization for clinicians and compliance teams. The court-defensible audit layer no other drug DB has.
Live signal feeds + multi-modal input
Real-time pulls from FAERS, EudraVigilance, recall databases, PubMed. Camera-based pill identification. Genome upload (23andMe) → instant pharmacogenomic personalization.
Two-mode UI · 3D protein binding · cohort outcomes
Clinician ↔ patient toggle on every profile. PDB-grade 3D molecular binding visualizations. Real-world cohort outcomes — "of 50,000 similar patients on this drug…" — pulled from anonymized HIS partnerships.
Three revenue lines, one underlying data asset.
DrugIQ monetizes the same canonical layer through three distinct enterprise channels. Each is a separate sales motion; all leverage the same data, schema, and engineering investment.
Enterprise API licensing
For e-pharmacy platforms, hospital EMR vendors, and EHR providers.
- Tiered API access by call volume
- Webhooks for catalog/price changes
- Custom schema mapping support
- SLA-backed uptime + provenance
Retail pharmacy SaaS
For India's 850K+ neighbourhood retail pharmacies (parallel project).
- Inventory · catalog · pricing tools
- Patient FAQ chatbot for counter staff
- Counterfeit detection at packaging
- Compliance & CDSCO reporting
Insurance & compliance data
For health insurance, PBMs, and regulatory consultancies.
- Formulary intelligence feeds
- Prior-auth automation data
- Adverse event signal monitoring
- Counterfeit / recall tracking
Series Seed to harden the layer and onboard first 10 enterprise customers.
DrugIQ Tier 0 is shipped. The data is live, the API works, the moat is real. Capital accelerates Tier ∞ phase 1 (embedded AI), retail pharmacy SaaS launch, and the first 10 paid enterprise integrations across hospital EMR, e-pharmacy, and insurance.
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