The reference layer for pharmaceutical decisions.
Every drug, device, biologic, and procurement transaction — linked into one canonical record, across every regulator, and answerable in plain language. The data was always public. Oushvaa is the first to link it. India-first, structurally global.
It cites, or it does not answer.
Public, but unusable.
The facts exist — drug approvals in one regulator's portal, price ceilings in another, adverse-event reports in a third, device recalls in a fourth — across the FDA, EMA, CDSCO, NPPA, and dozens more. Each speaks its own format, its own identifiers, its own language. So the people who need answers do one of two things.
Reconstruct it by hand
Analysts with thirty browser tabs, spreadsheets, and a two-week turnaround for a question that should take thirty seconds.
Buy a Western premium tool
Deep, but India-blind — and priced for the global top-100, out of reach for the Indian teams, hospitals, and institutions who need it most.
The gap is not a missing dataset. It is that nobody has linked the datasets that already exist. Aggregation is cheap. Linking is the hard, durable thing.
One canonical graph. The graph is the company.
A single company resolves to its drugs, its biologics, its devices, and its procurement footprint — across India's national registries and the global regulators. The same molecule, the same manufacturer, the same device, under a different name in every portal — canonicalized to one stable ID. That cross-walk takes years to build and cannot be backfilled.
One graph. Five surfaces.
The graph is the company; the five products are how different people reach into it. Each links its domain — across every authority — into one queryable, citable database.
DrugIQ
BiologicsIQ
MedevIQ
Procure
OushIQ
The synthesis layer that reads across the three rails to answer questions no single rail can. One question across drug, biologic, and device data — traced to the source record. Grounded, not generated: it cites, or it does not answer. Private hospital data never enters OushIQ.
Questions no single database can answer.
Because one company, one molecule, one device resolves to a single ID across every rail, the platform answers the questions that live between the silos — the ones that used to take thirty tabs and a fortnight.
An answer you can defend to a board — or an auditor.
The AI across every surface is not a chatbot wrapper. It is a discipline: graph retrieval, a library of vetted queries, structured outputs, and mandatory citation — source rail, source table, row count — behind three trust tiers. Every claim carries its tier, in the open.
Expert-verified
Reviewed by a credentialed expert and confirmed across more than one regulator. The bar for a claim that carries real weight.
Cross-source matched
AI-reviewed and matched across more than one independent source, so the record agrees with itself before it stands.
Single-source
AI-reviewed against one authoritative source — shown as exactly that, never dressed up as more than it is.
An open reference floor. A commercial layer above.
Safety data is free on every profile — always. Researchers, students, and the public get the open, citable catalogue; the teams who buy and oversee get the deep intelligence. That open floor is how the reference earns the citations that make it the thing everyone reaches for in the same week.
- Core reference across the rails
- Safety data free on every profile
- Citable, with stable identifiers
- Full search, exports, and alerts
- The rail's deep intelligence
- Cross-regulator coverage
- API access & custom integration
- SLA and dedicated support
- Data-residency options
The rails are request-access while v1 finalizes; pricing scales with coverage, not seats. Oushvaa Procure publishes transparent pricing on its own surface — every rupee, justified.
Built, not promised.
Live-verified counts across the rails — every figure traceable to a regulator, statute, or safety database. India is the source-of-truth market; global is the reach. Never rounded up.
Built audit-grade.
Least-privilege by default, published policies, and provenance on every figure. An open reference floor — catalogue and safety data are searchable; deep intelligence and the full corpus stay gated. Customer data is isolated by tenant: a hospital's records never leave its account and are never shared or sold; only de-identified, aggregated benchmarks flow back.