Ulysse connects to veterinary practice systems, standardises the underlying clinical data, and enables animal health sponsors to identify where eligible patients are, then recruit them into trials through their trusted vet.
Animal health companies invest heavily in development, then identify patients for pivotal studies with tools no more sophisticated than phone calls and spreadsheets. Four things are broken at once.
Sponsors cannot see where eligible animals are. Site selection relies on personal networks, KOL relationships and guesswork.
Clinical records sit in dozens of incompatible practice management systems and unstructured PDFs, unsearchable at scale.
Enrolment is a leading cause of study delay and cost overrun, pushing back product launches in a competitive pipeline race.
Vets screen charts by hand for each protocol, and practices have little incentive or tooling to participate in research.
Market figures are directional estimates from public industry research. Scope definitions vary by source.
The product is not a marketplace and not a services business. It is a single pipeline with an interface at each end: practices at one end, sponsors at the other.
Every practice can connect, with or without a modern practice management system.
Direct API integrations with cloud and server practice management systems, plus diagnostic-lab data feeds.
A secure upload portal: scanned histories, PDFs and paper records digitised with OCR and language models.
Revenue share, complimentary benchmarking and trial income give every practice a commercial reason to join.
A cloud-based, vendor-agnostic back end.
Every record mapped to one unified veterinary data model: diagnoses, drugs, labs, signalment.
GDPR-compliant de-identification. Owner identity never leaves the practice.
Language models structure free-text notes, and the cohort engine computes live patient counts and site density.
Interfaces for each side of the market.
Cohort search, live feasibility, site selection and enrolment tracking for trial teams.
Benchmarking dashboards with prescribing and outcomes insights returned to the clinic.
APIs and reports for research, commercial and market-intelligence use cases.
Practice management systems, lab feeds and medical-record PDFs flow in from partner practices and corporate groups.
Records are standardised, de-identified and coded against one veterinary data model: diagnoses, drugs, labs, signalment.
Species, breed, diagnosis, labs, treatment history and location queried against live, de-identified cohorts, so eligibility criteria are tested before a protocol is locked.
Patient counts and site-level density shape the protocol and select the right practices before launch, in seconds rather than months.
Matched cases surface in-clinic and the owner is approached by the vet who already treats their animal.
Sponsors monitor screening and enrolment live. Ulysse earns platform and per-patient recruitment fees, and the practice earns its share.
Live feasibility counts and pre-identified patients compress enrolment timelines by months.
Eligibility criteria tested against real patient populations before a protocol is finalised.
Manual chart review and site outreach replaced with targeted, data-driven recruitment.
Revenue share, benchmarking analytics and trial income make participation a profit line rather than a burden.
A harmonised veterinary data model across incompatible practice systems. Language models unlock free-text notes and PDF histories. Live queries return feasibility counts in seconds, not months.
Revenue share and trial income for practices and corporate groups, complimentary benchmarking analytics, and a new monetisation channel for practice management vendors who host data they do not exploit. Every party benefits when a trial recruits.
GDPR-compliant de-identification, owner consent managed at practice level by the treating vet, transparent data-use terms and RCVS-aware veterinary clinical governance from the first integration.
Most veterinary trials recruit today through KOL networks, CRO site outreach and manual chart review: slow, manual, and with no performance visibility. Ulysse is the only position that combines live patient visibility with end-to-end recruitment through the trusted vet.
Full-service investigator networks, but limited to their own caseload. They miss first-opinion practices, where the patients actually are.
Data snapshots without a recruitment workflow. Insight only, no execution.
TriNetX and Flatiron proved this quadrant works in human trials. None has entered veterinary medicine.
Annual licences for sponsors: live feasibility counts, cohort search and site-density analytics across the network.
Success-based fees per screened or enrolled patient, replacing spend that currently goes to manual outreach.
De-identified prescribing, outcomes and market intelligence for pharma teams, and over time decision and purchasing insights sold to clinics themselves.
Trial recruitment is the wedge. The end state is the largest structured pet health database, monetised across research, pharma commercial teams and the clinics themselves.
UK companion animals. Funds the data build-out.
EU and US expansion, livestock and equine, post-marketing surveillance and pharmacovigilance.
Prescribing dynamics, outcomes and market data for pharma, plus decision and purchasing insights for clinics.