Commercial evidence
Five case studies show the problem, the team’s contribution, success criteria and the boundary between a confirmed fact and a pilot hypothesis.
NPNT · 01
We do not attribute an unmeasured effect to a prototype. Public facts, operational metrics and project hypotheses are kept separate.
An architecture that connects production data, an AI hypothesis and a measurable KPI without changing a validated process.
A public multilingual platform is live with four sector scenarios and a documented shadow-pilot method.
One architecture for protocol work, recruitment, communication, site status, orchestration and quality, while decisions remain with the investigator.
Six specialist modules, multiple roles and synthetic scenarios are public, with medical decisions explicitly left to people.
A clear route from first contact to a research centre without promising treatment, diagnosis or enrolment.
The public service describes a five-step route and reports work since 2016 with more than 1,000 research programmes. These are MIKA.help’s own service facts, not proof of an AI effect or one team’s impact.
A complex scientific field became a layered route through what is known, competing schools, hypotheses and the boundary of clinical evidence.
A public four-language platform is live with dedicated routes for science, history, schools, hypotheses, publications, materials and method.
A multilingual professional site connects a profile, projects, publications and evidence-led materials into a clear route for partners, editors and the scientific community.
A public multi-page platform is live in three languages, with a portfolio and more than 60 URLs in its sitemap.
A bounded first stage
An initial assessment does not require medical records, trade secrets or a data dump. Process context and the intended outcome are enough.
Our first reply will clarify the process, available data, accountable specialist and success criterion. We will then propose a bounded first stage with an indicative timeline and budget.
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