Real patients.

Reliable feasibility. Faster start.

MPIRIQ unlocks patient populations from routine care and makes them available for pre-feasibility and automated patient matching, before the first sites are activated.

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Why This Matters

The patients exist.

They're just not visible.

Most eligible study patients are treated in outpatient settings, in practices outside your site network. Classical feasibility methods don't capture this population. The result: underestimated recruitment potential, overly optimistic timelines, and high screen failure rates. MPIRIQ changes that. AI-supported data extraction directly from routine care, structured, pseudonymised, and aligned to your protocol criteria.

Two application areas

Pre-Feasibility

Reliable patient numbers from real care data before sites are selected. No estimates, no extrapolations from historical records.

Patient Matching

Automated screening against inclusion and exclusion criteria directly in the patient population of participating practices, for faster identification and fewer screen failures.

What We Do

From patient data to trial-ready populations.

MPIRIQ combines AI-supported data extraction with data science validation to make patient populations accessible that classical site networks do not reach.

Precision Matching

Better alignment between patient profiles and protocol eligibility criteria, fewer screen failures, higher enrolment efficiency.

New Patient Access

Access eligible patients from routine care, beyond established study sites.

Validated Data Quality

Not just AI outputs: our data science team reviews extracted information for reliable recruitment forecasts.

WHY MPIRIQ

Data you can trust. Evidence you can act on.

Transparent Consent

Patients provide consent for the scientific use of their data — always voluntarily, always traceable, and with full transparency toward treating physicians and patients alike.

Ethical collaboration. Real Impact.

Real-world data only creates value if it's used responsibly. MPIRIQ's framework ensures every study serves both scientific progress and patient interests - not one at the expense of the other.

GDPR compliant by design

Every dataset is pseudonymised by an independent German data trustee and transmitted encrypted within a secure European cloud infrastructure - full GDPR compliance, built in from the start.

Next Step

We unlock your access

to patient populations that were previously invisible.

Let's talk for 30 minutes about how MPIRIQ can shorten your recruitment timeline. No contract, no commitment. You describe the protocol and the challenge. We show you what MPIRIQ can make visible.

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What MPIRIQ offers

FAQ

What sponsors want to
know before deciding.

How reliable are MPIRIQ's patient numbers for feasibility?

MPIRIQ pulls directly from routine outpatient documentation — not site estimates or historical records. You get real patient numbers from the actual care population, structured against your protocol criteria, before a single site is selected.

How does MPIRIQ reduce screen failure rates?

Automated screening against your inclusion and exclusion criteria happens directly in the patient population of participating practices. Only patients who match your protocol profile are flagged — reducing the gap between screened and enrolled patients significantly.

How early in the trial planning process can MPIRIQ be involved?

From day one. MPIRIQ is designed for pre-feasibility - giving clinical operations teams a reliable patient population assessment before site selection, country allocation, or timeline commitments are made.