For pharma · biotech · CRO

Stop hunting for patients. See who already fits.

We don't go looking for patients. Patients come to us, self-pre-screen against your protocol, and raise their hand. Your sites open with a consented, eligible funnel, before you commit a site visit.

  • How a biotech reached a consented funnel in under 5 months, with no outreach.
  • How patients filter out obvious mismatches before sites get involved.
  • What an early fit signal does to enrolment confidence, before you spend on sites.

Built with Innodia, UZ Gent, CHU Brugmann, Dedalus and 20+ more across Europe.

Free case study

See how a biotech filled a study with no patient hunt

One page. A two-minute read you can circulate internally.

No spam. No sales call unless you ask. GDPR-ready.

Reviewing with your Ethics Committee?
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Trusted across Europe's clinical research network

Innodia
UZ Gent
CHU Brugmann
Dedalus
Sciensano
ELPA

Backed by 20+ patient organisations, hospitals, and research bodies across Europe.

GDPR-native · EU AI Act compliant · pre-screening outside Ethics Committee scope by design

The problem

Recruitment is the bottleneck. Everywhere.

80%of clinical trials miss their original enrolment timeline. More than half are terminated for failing to enrol.

Recruitment is the biggest cause of trial delays. Sites are overloaded, eligible patients are hard to reach, and screen failures eat the funnel before randomisation. For a small team running a handful of trials, there's no spare bandwidth to absorb a miss.

Site overload

Coordinators screen out most leads before anyone qualifies.

Funnel mismatch

Plans assume an ideal patient who barely exists. Tighter criteria collapse the curve early.

No pre-site visibility

You're blind until the first screen. By then the budget to fix it is gone.

Patient engagement, by design

Patients reach us. They see what fits them.

Curewiki is patient-initiated. People come to us through their patient organisation, their hospital, or directly, and register their willingness to take part. When a study opens, we surface it to the patients who fit.

STEP 01

Patients register willingness

Direct, consented, patient-initiated.

STEP 02

Your study opens

We translate criteria into patient-friendly self-pre-screening.

STEP 03

Patients identify their fit

Obvious mismatches filter themselves out.

STEP 04

Sites do final screening

Sites get a warmer funnel and a clear fit signal. We stay out of the clinical decision.

The database compounds. The patient who pre-screens today is one we re-engage when a fitting study opens next year.

What we run on the platform

Four ways patients reach research.

Curewiki supports the patient engagement work around a clinical trial, with one patient-facing network across all of it.

Panels

Patient panel composition

Consented panels across rare and chronic indications, from patients who already raised their hand.

Surveys

Cohort surveys

Structured surveys against opted-in cohorts. Zero-party data, ready for analysis.

Trials

Pre-screening for trials

Patients self-pre-screen against simplified criteria. Mismatches filter out before a site sees them.

RWD

Real-world data insights

Longitudinal signal from declared health journeys over time. For feasibility, and beyond.

Real-world data

At the source. With consent.

Patient data is declared by the patient, with explicit consent. No data brokers, no intermediaries. The same record reaches sponsor, site, and patient.

What patients share

  • Their own declared health profile
  • Self-pre-screening answers
  • Willingness to re-engage over time

What you get

  • An eligibility signal
  • Cohort feasibility
  • Engagement metrics

Zero-party. Patients declare their own information. No scraping, no purchased lists.

Full consent. Every record carries explicit, revocable consent, audit-logged and aligned to GDPR Article 9.

Patient control. Patients see what they share and with whom, and can revoke at any moment.

Easier review. Sponsor and patient see the same record, which simplifies legal and procurement checks.

Ecosystem

Expert-led. Tech-driven. Patient-first.

We work with patient organisations, hospitals, and research infrastructure that sit inside the platform. The network does the heavy lifting.

Patient organisations

Innodia

European Type 1 Diabetes consortium.

Patient Expert Center

Belgian patient-expert umbrella.

TEDDY

European paediatric research network.

ELPA

European Liver Patients Association.

BAOB

Belgian brain and oncology advocacy.

De Roze Doos

Belgian channel to young parents.

Amybel

Belgian amyloidosis organisation.

Alzheimer Liga

Flemish Alzheimer's association.

Behind Endo

Endometriosis awareness and research.

POP

Spanish chronic-illness umbrella.

ADER

Spanish rare disease association.

Pancreatic Cancer Europe

Pancreatic cancer research platform.

Hospitals

UZ Gent

T1D pre-screening at scale.

InoKura

Phase I and II centre, Liège.

CHU Brugmann

Brussels public university hospital.

Tech & research infrastructure

Dedalus

Integration partner, xShare Gold.

READi

Horizon Europe IHI project.

Sciensano

Belgian public health institute.

VITO

Research org, xShare Bronze.

Compliance

Compliance-native by design.

Every pharma buyer asks two questions first: GDPR and security. Both packs are ready on request. For Ethics Committee questions, our regulatory one-pager covers our position.

GDPR

GDPR, operational

Our technical team is based in Belgium and we operate under GDPR.

Operational
EU AI ACT

EU AI Act, compliant

Risk classification mapped, model documentation maintained, human oversight built in.

Compliant
EC POSITION

Ethics Committee position

Pre-screening sits outside EC scope: patient-initiated, neutral, never study-specific.

Documented
ISO 27001

ISO 27001

Implementation underway. Certification expected this fiscal year.

In progress

Next step

Built for your next trial.

See the mechanism, the timeline, and what an early fit signal does to a funnel. One page, two minutes, ready to circulate internally.

Prefer to talk it through first? Book a 30-minute intro →

Free case study

Get the case study

How a biotech filled a study with no patient hunt.

No spam. No sales call unless you ask. GDPR-ready.