Consulting · pharma & healthcare

What we do with the platform for pharma teams.

Eight services, each a lens plus a person who knows the data. You bring a molecule and a question. You get the evidence, with its source and vintage on every figure. The decision stays with you.

8services, each mapped to the lenses that answer it
9decision lenses on the US healthcare and pharma platform
177datasets on the Data Atlas, each with its vintage
1molecule spine, so every service reads the same numbers

The eight services

One question set, the lenses that answer it, the evidence you keep.

Every service runs on the same platform. The service name is the question you bring; the lens names are where the answer comes from. Nothing here is modelled or estimated. Each figure is counted from authorised sources and carries its vintage.

Market access

Coverage, restrictions and the payer path for a molecule, by book and by plan. Channel mix between fee-for-service and managed care. IRA selection risk, so you know whether a molecule is exposed to negotiation and when.

LensesMarket access & pricing

Regulatory

Approvals, shortages, recalls, inspections and citations, read on the molecule and on the plant. You see the record behind each site that makes the product, not a summary of it.

LensesRegulatory & policy · Supply chain & sourcing

Patent & exclusivity

The cliff timeline for a molecule, the challengers already queued, and the real opening date rather than the listed one. Where tail patents are all that remain, the page says so.

LensesGeneric entry · Regulatory & policy

Commercial & competitive

Market share, the moat around it, rival supply and who is gaining paid volume. Share is counted from paid records, never rounded to a total, so gains and losses are visible period by period.

LensesCompetitive intelligence

Portfolio & pipeline

Entry opportunities ranked by prize, opening date and sourcing risk. Each candidate is followed through the full molecule journey, from demand and payer to plant and supplier, on one page.

LensesGeneric entry · Molecule journey

Supply & sourcing

Who makes it, where, with what inspection record, and how exposed the supply is if one site or one supplier falls out. Plants are placed on a map with their history attached.

LensesSupply chain & sourcing

Trade & BD

Shipment-level buyers, suppliers and corridors for a product or a company. Who is shipping what, to whom and at what price, plus global bilateral flows by product and period.

LensesTrade Data

Disease & demand

Prevalence, patients, paid spend and the drugs that treat a condition, by state. Demand is read from the condition down to the molecule, so a portfolio can be sized against the patients behind it.

LensesDisease & market landscape

On screen

Two services, as they look on the live platform.

A service is not a slide. It is a lens page you can open, filter and read yourself, with the source line under every chart.

market access · coverage & restrictions
Coverage and restrictions lens: a heatmap of the top Part D molecules by paid demand against insurer columns, with filled cells marking prior authorisation or step therapy, and a headline stating the share of plans gating the top molecule

Market access. Where high paid demand meets the hardest plan gating, by book, by insurer and by molecule, on a single snapshot with its year stated.

patent & exclusivity · cliff timeline
Patent cliff lens: a timeline of the top molecules by paid-register dollars at risk, each with a bar from the present to its cliff year, solid where patents still protect and striped where only tail patents remain, with the year, the dollars and the number of late-stage challengers on the right

Patent & exclusivity. Paid dollars reaching their cliff by year, the real wall against the listed one, and the challengers already filed, with the source line under the chart.

How an engagement runs

Start on your molecule. Stop whenever the question is answered.

There is no long onboarding. The platform already holds the data, so the first session is on your product, not on a sample.

01

Demo on your molecule

Send one molecule or one product. We walk through what the platform already knows about it, lens by lens, on the live system.

02

Pilot on one question set

Pick one service and one set of questions. We run them with you over a fixed period and hand over the evidence with its sources and vintages.

03

Ongoing access or a one-off dossier

Keep the lenses and the Ask console open for your team, or take a single dossier on one molecule and stop there. Both are priced separately.

04

Read-only, your data stays yours

The platform never writes back and never needs your internal data. What you bring to a session stays with you.

What comes back

A question goes in. An evidence pack comes out.

Each service follows the same path. The question is resolved to a molecule key, the right lenses read the prebuilt marts, and every figure comes back with the register it was counted from and the year it belongs to.

service · question to evidence packlive
STEP 01 · YOUR QUESTION ONE MOLECULE · ONE SET who is gaining paid volume? when does the door really open? which plants carry the supply? which plans gate it, and how? plain English or a named service STEP 02 · THE LENSES READ ON THE MOLECULE SPINE resolve the question to one key pick the lenses that hold the answer read prebuilt marts · read-only max across grains, never sum ✓ same total in every lens STEP 03 · EVIDENCE PACK Figures · source + vintage on each Lens pages · open and filter yourself Dossier · signals, no recommendation question in · evidence out source and vintage on every figure · decision stays with you

Evidence, not advice

We show what the data says. We do not tell you what to do.

Signals, not recommendations

A dossier or a lens page shows the signal and the register it came from. It does not say launch, exit or invest. That call belongs to your team, who know what the data cannot.

Source and vintage on every figure

Each number names the register it was counted from and the year it belongs to. When two registers overlap, the page shows the larger one rather than adding them.

Counted, never estimated

Nothing is modelled, extrapolated or filled in. If a source does not hold a figure, the page says so instead of guessing.

Questions we are asked

Before you request a demo.

Does this replace analysts?

No. It gives them the counted evidence in minutes rather than weeks, with the source attached. Interpretation, context and the recommendation stay with your analysts.

Where does the data come from?

Authorised sources only: registers, records, spending and claims, and shipment data. Every figure names its source. We do not buy panels, survey or estimate.

How current is it?

Each dataset carries its own vintage, and the vintage is shown on every figure. The Data Atlas lists all 177 datasets with the period they cover, so you always know what year a number belongs to.

Can we ask our own questions?

Yes, through Ask. Type a question in plain English. The service writes and checks the query, runs it read-only, and verifies every number against the records before it answers. How Ask verifies itself.

Do you cover trade data?

Yes. Shipment-level export and import records, by product, company and destination, plus global bilateral flows by product and period. See Trade Data.

What does a demo look like?

You send one molecule or one product. We open it on the live platform and go through what it already knows, lens by lens, with your questions driving the session. Request a demo.

See it on your molecule first.

Send one molecule or one product. We will walk you through what the platform already knows about it, on the live system.