Governed veterinary intelligence for the animal health economy.
One engine. Three channels. VETA powers safe pet-owner triage (VETAi), faster veterinary workflows (VETA Pro), and structured clinical reasoning data for researchers and product developers (VETA Data & API).
- A1
- $80–150 / DVM / month, validated via pilot pricing
- A2
- 3–5% free→Premium conversion via clinic distribution
- A3
- $25K–500K/yr enterprise rate for Channel 3 access
Listed honestly — never as fact.
For veterinary teams
Reclaim 30–40% of the workday lost to documentation, dose math, and client comms — with species-aware safety rails and an audit trail on every output.
Pilot VETA Pro →Channel 02 / VETAiFor pet owners
Species-aware triage that knows when to reassure and when to escalate. Distributed through clinics and insurers as a sub-brand of VETA Intelligence.
VETAi for owners →Channel 03 / VETA DataFor researchers & developers
Structured, evidence-tiered clinical reasoning infrastructure for pharma, diagnostics, insurance, and telehealth. Design-partner only in Phase 2.
Talk to data team →The defensibility is not the model. It is the hidden control layer that sits in front of it.
DVM credentialing and role mapping. Outputs differ by audience by design.
Anatomical and physiological constraints. Dogs and cats first; expansion is gated.
Deterministic triage and dose ceilings. Rule-driven, never model-driven, for safety-critical paths.
V-EviCore object store. Every claim tied to a versioned, attributable source.
Rules fired, evidence used, items blocked, template rendered. Stored per output.
Determinism boundary — all safety-critical outputs (emergency triage, dose ceilings, toxicology, interactions) are rule-driven. The language model handles parsing and prose only, never the safety decision.
Generic AI cannot safely serve any of these audiences.
Clinicians lose 30–40% of working hours to documentation, dose math, and client comms. Existing PIMS optimize for billing, not reasoning.
Generic AI offers confident, species-blind advice. The result is under-triage of urgent cases and over-triage of routine concerns.
Structured, species-aware clinical reasoning does not exist in machine-readable form. Reference texts are written for humans, not APIs.
Capabilities now make governed clinical reasoning feasible — but only with the control layer wrapped around them.
Veterinary boards are starting to issue AI-in-practice guidance. Early movers with defensible posture get grandfathered.
Pet insurance, telehealth, diagnostics, and pharma are actively seeking structured clinical reasoning infrastructure.