Market signals,made actionable.
Verinten is a vertical intelligence platform. It reads the public signals a market already produces — reviews, social posts, search results, AI answers — and turns them into a short list of decisions with the evidence attached.
- Public business data only
- No patient records, ever
- Evidence behind every number
Signal preview
Market intelligence overview
- Public reputationListening
- Market contextComparing
- AI discoveryMapping
Collect
Understand
Prioritize
What vertical intelligence means
Generic analytics tells you what happened. Vertical intelligence tells you what to do about it.
A horizontal tool hands you a chart and a filter. A vertical one already knows what a hair-transplant clinic's reviews look like when something is going wrong, which competitors are comparable, and which of the twelve things you could do this week actually moves trust.
Reputation signals
Meaningful shifts in public trust, surfaced with the evidence behind them, before they become difficult to reverse.
Competitive context
Where your position is changing against the competitors you actually compete with, not an arbitrary market average.
AI visibility
How answer engines describe your business across the languages your prospects search in.
The first product
ClinicRadar, for clinics whose reputation is their pipeline
Medical tourism, hair transplant, dental, and aesthetic clinics live and die on public trust across several languages and several countries. ClinicRadar monitors what patients and prospects publicly say, identifies emerging trust risks, compares you with real competitors, measures your visibility in AI answers, and converts all of it into prioritized actions.
What it is not
ClinicRadar is not a CRM, not a patient-record system, not a medical-advice tool, and not a way to profile reviewers. It does not publish responses to review platforms on your behalf. Those boundaries are product rules, not a roadmap gap.
Built for
- Medical tourism
- Hair transplant
- Dental
- Aesthetic
The transformation
Four steps between a public signal and a decision
- 01
Collect
Public signals across the review, social, and search surfaces that matter to your vertical.
- 02
Understand
Classified into themes and risks, with the original public item always one click away.
- 03
Measure
A versioned, deterministic score with a separate coverage confidence — never a number without its basis.
- 04
Act
A short, prioritized list of actions, each tied to the evidence that justifies it.
Privacy and security principles
The constraints we designed around, written down
These are enforced in the product, not just described here. Where a principle limits what the product can show you, it limits it.
- Public business reputation only — never patient records, medical data, or clinical advice.
- Every finding links to the public item it came from, with its collection date.
- Scores are a versioned deterministic formula; AI classifies and summarises, it never invents the number.
- Insufficient coverage suppresses the score rather than showing a misleading one.
- Reviewer names are minimised in analytical screens — we analyse businesses, not individuals.
- Analytics is off until you consent, and session replay is a separate choice.
Outcomes
What changes once you can see the signal
Know before the market does
A trust risk that surfaces in week one is a conversation. The same risk in month three is a reputation problem.
Argue from evidence
Every number opens onto the public items behind it, so the discussion is about what to do rather than whether it is true.
Spend attention where it pays
A ranked action list, sized for a small team, instead of a dashboard that asks you to find the problem yourself.
Roadmap
Deliberately short
Verinten is a platform, and ClinicRadar is its first vertical. Additional verticals will follow the same pattern: public signals, a deterministic score, evidence, and a prioritized action list. We would rather ship one vertical that a clinic can rely on than four that nobody can.
Capabilities not in V1 — a customer-facing API, native mobile apps, a white-label agency portal, and automatic publishing of responses to review platforms — are excluded on purpose and are not scheduled.