For investors

The business case for onco.fit

onco.fit is the trusted navigation and coordination layer for cancer care in India. Patients get essential guidance free; institutions that benefit when patients reach the right care earlier pay for coordination and measurable outcomes. Revenue grows by making care better organised, not by selling more of it.

The guardrail that protects the business.Payment, sponsorship, or ability to pay never changes a patient's clinical urgency or pathway recommendations. No investor, hospital, diagnostic, pharma, or other payer may purchase influence over patient-specific guidance. This is a public commitment, not a marketing line: read the financial mission.
Business model

How onco.fit makes money

onco.fit will not compete with hospitals or specialty clinic networks to own cancer care. It provides the trusted navigation and coordination infrastructure that enables patients to access the most appropriate care across public, charitable and private providers.

Institutions pay, patients do not

Essential cancer-suspicion navigation stays free to the patient. Revenue comes from hospitals, employers, insurers, government programmes and CSR funders who gain when patients reach appropriate care earlier and complete the right diagnostic pathway.

Paid for coordination, not volume

We are paid for referral quality, pathway completion, appointment coordination and quality reporting. We never take bill commissions, diagnostic-volume payments, paid rankings, or lead sales.

Recurring and diversified

Multiple payer types (hospital, employer, insurer, government, CSR) mean revenue is not tied to any single buyer, and institutional relationships renew as outcomes are reported.

Optional patient premium

Families who want higher-touch help can pay for a dedicated navigator or second-opinion coordination. Ability to pay never changes clinical urgency or pathway.

Market

A large, poorly navigated market

Cancer care in India is growing, fragmented, and expensive for families. The gap onco.fit fills is coordination, which no hospital owns.

About 1.4 million new cancer cases a year in India

Public estimates (ICMR-NCRP) put annual incidence near 1.4 million and rising with an ageing population and changing risk factors. Directional.

Diagnosed late, navigated poorly

A large share of patients present at an advanced stage and lose time and money moving between reports, hospitals and bills. Cancer is a leading driver of catastrophic out-of-pocket health spending in India.

Delhi NCR is a dense referral hub

The region concentrates major public and private cancer centres and draws patients from across north India, making it an efficient first market to prove the model.

The coordination layer is unowned

Hospitals compete to deliver treatment, not to navigate patients across public, charitable and private providers. That neutral layer is the opportunity.

Market figures are directional, drawn from public sources such as ICMR-NCRP for orientation only. Traction figures are placeholders to be replaced with diligence-backed data. Nothing here is an offer of securities.

Scalability

Built to scale, not to staff up

The architecture keeps the marginal cost of each new case and each new cancer type low.

Deterministic-first, low marginal cost

Core guidance runs on a rules engine and works without a large language model, so each additional case adds little variable cost. AI is used narrowly, mainly to read document images.

Pathways are data, not code

Each cancer pathway is one structured entry in a registry. Ten cancers are live today (breast, lung, cervical, oral and head & neck, colorectal, ovarian, stomach, prostate, esophageal, and blood); adding the next is a content task, not an engineering project.

Multi-payer go-to-market

The same platform is sold to hospitals, employers, insurers, government and CSR funders, so growth is not gated on a single channel.

Bilingual and geography-light

Guidance is English and Hindi today and is not tied to one city, so expanding from Delhi NCR to other Indian metros is largely a data and partnerships exercise.

Trust as a moat

Public, enforceable independence (payment never changes clinical guidance) and outcome transparency compound into referral trust that a volume-driven competitor cannot easily copy.

Traction

Traction, in your diligence pack

These are the metrics we report to institutional partners. Figures below are placeholders to be replaced with diligence-backed data.

To be added

Cases navigated

Cumulative and monthly cases navigated.

To be added

Institutional partners

Signed and piloting sponsors, by payer type.

To be added

Outcomes

Completed referrals, time to consultation, and pathway completion.

To be added

Revenue and retention

ARR, contract values, and renewal rate.

Alignment

What we ask every investor to accept

The independence rule is permanent. We invite investors to pressure-test it with these questions before they invest.

Questions to ask us

  • How does the investor expect onco.fit to make money?
  • Will they support independent clinical governance?
  • Do they understand that institutional adoption takes time?
  • Will their growth expectations reduce access or trust?
  • Would we be comfortable publicly explaining the relationship?

A model a patient can trust, and an investor can back.

Free where it must be, paid where institutions receive measurable value, independently governed wherever incentives could touch care. Contact the founding team for the full data room and current traction.