People and institutions

Healthcare and life sciences

Diagnosing, treating and supplying health needs.

Healthcare businesses are chosen after a question that has nothing to do with them. A patient asks what causes adult acne. A family asks whether a contrast MRI is safe. A formulator asks which Indian API makers hold EU GMP. An engine answers, using a health portal or an aggregator, and the clinic, lab or manufacturer that could have answered it properly is not in the reply.

8Sub-categories
31Specialisations

Where the answer is being lost

The engine answers the medical question before you get asked one.

Across hospitals, clinics, labs and pharma, almost every question that precedes a booking is clinical. A woman in her late thirties asks "What are realistic IVF success rates by age in India" months before she will name a clinic. A family asks "What is the difference between drug eluting and bare metal stents" the week a bypass is being scheduled. Those answers come from health portals and aggregator blogs. The platform then owns the provider question, and you meet the patient at the payment page, competing on price, after the decision that mattered was made.

How we work here

The programme for healthcare and life sciences

01

Win the clinical question

Patients and referrers arrive with a condition, not a shortlist. So the work starts with what your consultants already answer in the room: what a high CRP result indicates, whether LASIK or SMILE suits a high correction, how long dental implants last, which surgeries are safe as day care. blogs and answer-pages turn those into the written version an engine can lift and attribute.

02

Put a clinician's name on it

Regulated content needs clinical review anyway, so we make the review visible and machine-readable. The consultant who signed the page, their speciality, their registration, the department and the accreditation behind them, all defined as entities through schema. video does the same job in a doctor's own voice, with the transcript as the source. Anonymous health content is the cheapest thing on the internet, and models treat it accordingly.

03

Publish the limits too

Advertising rules stop you promising outcomes, and that constraint suits this work. The answer that gets cited on IVF, on frozen shoulder, on how long an over the counter painkiller is safe, is the one carrying age bands, contraindications and the point at which someone should stop reading and see a doctor. answer-pages and data-assets are built that way here, or not at all.

04

Be legible at procurement

Devices, APIs and hospital IT are not won by content. They are tendered, committee-decided and held by entrenched vendors. The narrower job is real. When a regulatory lead asks which Indian API manufacturers hold EU GMP certification, or a committee drafts an HIS specification for NABH, your certifications, throughput figures and evidence should be what the engine has. That earns a longlist place. It does not shorten the tender.

A patient decides where to go only after understanding what is wrong with them, and that understanding is currently written by someone else.

What changes

The people who call have already read you. A woman who has read your page on IVF success rates by age rings to ask about her own age band, not about price. A family that has read your angioplasty recovery page books the follow-up. GPs and corporate health desks name you when they refer. On the institutional side, you turn up in consultant longlists and draft specifications, where devices and hospital IT are actually decided.

Start here

See who gets named in healthcare and life sciences today

We put your buyers' real questions to the live models and come back with the businesses they name, the sources behind those answers, and the gap between that list and yours.