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How we work

Four questions a researcher asks - four honest answers.

How we work when a researcher or a clinical department comes to us with a study. One consistent consent-and-audit layer underneath it all.

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Live

How do I start a study?

From research question to participant group in days, not quarters.

  • Study setup with template library
  • Participant-group definition via AI-assisted filtering
  • Observational analysis - we show who has seen what
Study setup · the pathway
01 Define
02 Participant group
03 Analyse
04 Publish
study / participant-group-2026-q2
Participants3,214
Inclusiontype 2 diabetes · adult
Duration24 months longitudinal
Consentper study · confirmed
Audit trailfixed
Live

Which data can I work with?

Data from general practice and specialties - what researchers have traditionally lacked access to.

  • Insight from People's Clinic
  • Patient pathways across specialties
  • Longitudinal follow-up on outcomes
Where data comes from
Clinic Wallet Wearable Lab results Consent check opt-in · per study Participant group insight

Which data is included

Every data point is opt-in at the source - never consent retrofitted on top of data already collected.

  • Chart notes
  • Lab results
  • Readings from wearables
  • Citizen-reported responses

Other sources by specific study agreement: DNA, microbiome, dental and eye scan, external datasets.

Roadmap - design partners sought

Do I get AI help?

The AI research assistant accelerates hypothesis, literature and trend work. It does not replace the researcher - it removes the repetitions.

  • Hypothesis proposals from observed patterns
  • Literature support with source citation
  • Trend detection across participant groups
  • Sits alongside you in the study environment
How the AI assistant works
  1. Proposal from observed patterns
  2. Sources PubMed · EMA · DOI
  3. You approve the researcher signs
  4. Audit trail fixed

Boundary

A research assistant - not an autopilot.

The AI finds patterns, proposes hypotheses, and retrieves literature. It makes no decisions. The researcher sees the source, approves the proposal, signs the report. Every time.

What it does

  • Proposes study protocols based on similar studies
  • Retrieves relevant literature with source citation
  • Flags patterns in the participant group
  • Summarises cohort status so you see status quickly

What it does not

  • Make clinical decisions
  • Diagnose participants
  • Replace a biostatistician
  • Leave Europe with data

The researcher always decides - the AI is help, not authority.

Live (Wallet integration developed 2026)

What happens with consent?

Consent as protocol. Granular per study, can be withdrawn whenever, traceable per citizen.

  • Opt-in per study via People's Wallet
  • GDPR Article 9 lawful basis documented
  • The citizen sees who has access
  • Withdrawal flow with trail
Consent flow
  • 14:02 Granted Study 12 · diabetes
  • 14:02 Per study scope: outcome + pathway
  • 14:05 Withdrawal completed same day
  • 14:05 Audit trail fixed we can always show who has seen what

Walkthrough

Ready for a walkthrough?

30 minutes with the research team. We show what is running today and what is coming.

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