01 / Problem
Veterinary data is fragmented across practices, records systems and diagnostic devices, so an animal's history is rarely visible in one place.
Companion Health · 2026
Veterinary intelligence platform architecture
Strategy, brand and product architecture, UX and technical architecture for a B2B pet-health technology ecosystem built on longitudinal continuity and early risk detection.
- CLIENT
- Companion Health
- ENGAGEMENT
- DEFINE · SYSTEMISE · BUILD & LAUNCH
- DISCIPLINES
- Strategy · Product Architecture · Experience · Engineering
- STATE
- In delivery
02 / Context
A B2B sector with established EHR platforms and diagnostic hardware already in use. Interoperability had to be designed around them, not in place of them.
03 / Insight
Continuity is where risk becomes visible. Conditions such as CKD and osteoarthritis show themselves across time, not within a single visit.
04 / Decision
Position Companion Health as a B2B intelligence layer for the veterinary and pet-care technology sectors, valued on data continuity, cross-practice interoperability and preventative insight — with strict boundaries against unsupported clinical or diagnostic claims.
05 / System
Architecture designed for the Companion Health / Fetch API layer: real-time ingestion, normalisation and secure sharing across EHR platforms and diagnostic devices, with longitudinal frameworks for tracking chronic conditions over time.
06 / Execution
Clinical and enterprise dashboard designs surfacing longitudinal trends, risk indicators and actionable markers without cognitive overload, architected on a cloud-native multi-tenant backend designed for high-throughput clinical telemetry.
07 / Outcome
Not yet measured. The engagement is in delivery, and no clinical, diagnostic or predictive performance claim is made.
07 / Outcome
Not yet measured.
In delivery. No clinical or diagnostic claim is made, and confidential product detail is withheld by agreement.