Pharma & healthcare consulting
Market access, regulatory, patent and exclusivity, commercial, portfolio, supply, trade and disease questions, answered as evidence with source and vintage on every figure.
Consulting services →Consulting · Products · Development
Consulting for pharma teams, three intelligence platforms and buyable data packages on one data layer, and platform development for companies that want an intelligence layer of their own. Built from authorised sources, run read-only.
What we offer
Ask us to answer a question, use the platforms and data yourself, or have us build the intelligence layer your company will own.
Market access, regulatory, patent and exclusivity, commercial, portfolio, supply, trade and disease questions, answered as evidence with source and vintage on every figure.
Consulting services →Three intelligence platforms: Trade Data, Healthcare & Pharma with nine lenses, and NLQ. The harmonised datasets behind them, available as packages on their own or together with the platform.
All products →We build intelligence platforms for healthcare and pharma companies: the data layer, the lenses, the natural-language query service, deployed under your brand and owned by you.
Platform development →Products · three platforms, one data layer
Each platform answers a different question. All three read the same resolved data, which is why a number in a lens, a number in the trade explorer and a number in an Ask answer are the same number.
Shipment-level pharmaceutical trade intelligence: who ships what, where and at what price, plus global bilateral flows by product and period.
Explore Trade Data →
US healthcare and pharma intelligence on a molecule spine: entry, supply, market access, competition, disease, facilities, regulatory and the full molecule journey, each as its own lens.
See the nine lenses →
Ask in plain English. The service finds the right tables, writes and checks the SQL, runs it read-only, and verifies every number against the records before it answers.
How Ask verifies itself →The harmonised datasets behind the platforms, delivered as files with a molecule crosswalk, a vintage manifest and an integrity report. Buy a package without the intelligence layer and use it in your own tools.
See the packages →The packages and the platform together: lenses, the Data Atlas and Ask deployed privately for your team, refreshed as registers are released. Or the same stack built under your brand.
Data + platform →Platform tour
Every screen below is the live system on real records, not a mock-up. Switch between the platforms.
Pick a drug or a supplier. The analyser totals the shipments, ranks the importing countries, lists the importers behind each one and draws the corridor.
Trials, approval, patents, generic entry, spending, prescribers, plants, inspections, shortages, coverage, trade: each stage a panel, all on the same key.
“Who are the reliable Indian suppliers for apixaban that don't have any import alerts?” returned 51 supplier records, the entities behind them, and the query and records to prove it.
Who it is for
The Ask library is organised by the people who use it. Each role has a set of questions that have been run, checked and kept, so a new user starts from what their peers already asked.
Counts are verified questions in the library per role, as of September 2026.
Walkthrough
A recorded walkthrough of the US pharma and healthcare platform: the Data Atlas, the lenses, the molecule journey and the Ask console, on real data.
The mechanism
Sources arrive on different grains: a shipment, a prescription, an approval, a plant. Each is resolved to one canonical molecule key before anything is counted, and overlapping registers are taken at their maximum rather than summed. That is what stops the same prescription being counted twice.
What changes
Nothing here replaces judgment. It replaces the week spent assembling the numbers judgment is applied to.
Data coverage
The Data Atlas catalogues every dataset behind the platform with its lineage, vintage and integrity checks. These are the counts it reports. Every family below is also available as a data package.
Consulting
Each service is a lens plus a person who knows the data. The output is evidence with its source and vintage, never a recommendation dressed as a number.
Coverage, restrictions and the payer path for a molecule, by book and by plan.
Approvals, shortages, recalls, inspections and citations, on the molecule and on the plant.
The cliff timeline, the challengers queued and when the door actually opens.
Market share, the moat, rival supply and who is gaining paid volume.
Entry opportunities ranked by prize, opening date and sourcing risk.
Who makes it, where, with what inspection record, and how exposed the supply is.
Shipment-level buyers, suppliers and corridors for a product or a company.
Prevalence, patients, paid spend and the drugs that treat it, by state.
Development
We build what we run: the data layer that harmonises registers onto one spine, the lens interface, the natural-language query service with its verification gates, and the trade explorer. Deployed under your brand, on your data or ours, owned by you.
Enterprise & deployment
The platform is an intelligence layer, not a system of record. It reads, it never writes, and everything it shows can be traced.
Deployed privately for each client, on your infrastructure or ours. Nothing is shared between clients.
The warehouse is opened read-only. Every query carries a time and memory cap. Nothing writes back.
Every Ask answer ships with its SQL and records. Every lens figure shows its source and vintage.
Spreadsheet export from every view. Question text goes to the model provider to draft SQL; your data does not.
How we work
One molecule or product, on the live system, in thirty minutes. You see what the platform already knows about it.
One question set, run on the platform for your team. Fixed scope, fixed period, typically two to four weeks.
All lenses, the Data Atlas and Ask for your team, deployed privately, refreshed as registers are released.
A data package, a dossier, or a full intelligence platform built for your company and owned by you.
Questions we are asked
No. It replaces the assembly work around them. Analysts still decide what the numbers mean; they stop spending the week finding and reconciling them.
Authorised sources only: registers, records and shipment data. Every figure names its source and vintage. Nothing is modelled or estimated.
Yes. Each family on the Data Atlas is available as a package: harmonised files, a molecule crosswalk, a vintage manifest and an integrity report, for use in your own tools.
The text of a question goes to the model provider so it can draft SQL. Your data, the records and the answers stay in the deployment.
Yes. The data layer, the lenses and the query service are built and operated by us today. We build the same stack for healthcare and pharma companies, under their brand, and hand it over.
You name a molecule. We open the platform on it, lens by lens, then ask one question of yours in the console. No slides.
Send one molecule or one product. We will walk you through what the platform already knows about it, on the live system.