Industry
Veterinary Software Development Services — AI Chat, Voice & Scanned-Report Intelligence
AI chat and voice agents (ElevenLabs), Mistral OCR for x-rays and lab reports, custom Stripe billing, Auth0-secured client portals, and the NestJS + Next.js + Terraform-on-AWS platform underneath — built by DiveScale for production veterinary deployments.
The state of veterinary
Global vet care market by 2030
Rising pet ownership, the humanization of pets, and durable consumer spend are driving sustained growth in veterinary services demand.
Vet workforce shortage
U.S. veterinary capacity gap is creating urgent demand for technology that multiplies clinical time — AI triage, voice intake, OCR-driven record entry.
Pet owners using digital tools
Owners now expect mobile booking, telehealth, digital records, refill requests, and reminder messaging on par with their own healthcare experience.
What we build for veterinary teams
- AI chat agents for triage, intake, appointment booking, and post-visit follow-up — grounded in clinic policy and species-specific knowledge
- AI voice agents using ElevenLabs for natural, multilingual phone interactions: after-hours triage, reminder calls, post-visit check-ins
- Mistral OCR for x-ray reports, lab results, vaccination records, and historical paper charts — turning scanned PDFs and images into structured clinical data
- Image and document intake pipelines for radiology, lab work, and external referral notes with automated routing into the patient record
- Smooth client onboarding flows: pet profile creation, vaccination upload via OCR, ID verification, consent forms, and first-appointment booking
- Custom Stripe billing with Connect, subscriptions, deposits, multi-clinic payouts, and treatment-plan financing
- Multi-clinic / multi-location architecture with central reporting and per-location configuration
- Practice management (PIMS) integrations and add-ons: ezyVet, Avimark (IDEXX), Cornerstone (IDEXX), Provet Cloud, and others
- Telemedicine: live video, async chat, and asynchronous photo / video review with clinical documentation
- Next.js (App Router, RSC) client-facing apps and clinic-facing dashboards with Auth0 authentication and role-scoped access
- NestJS backend services with strict TypeScript, OpenAPI contracts, BullMQ for background processing, and proper webhook idempotency
- Infrastructure as code with Terraform across multi-account AWS, AWS Lambda for event flows, EventBridge for inter-service eventing
- CI/CD with GitHub Actions: reusable workflows, OIDC to AWS, environment protection, container signing, and SBOM generation
- Docker images built and scanned in CI, deployed via blue/green with automated rollback on alarms
- Security: Auth0 with MFA, KMS-encrypted PHI/PII at rest, audit logs on every clinical action, vulnerability scanning in CI
- Figma + Code Connect design system so the React component library and design library stay in sync — important for vet UX where consistency builds clinic trust
- Pet wearable telemetry ingestion: activity, vitals, and behavior signals into the clinic record
- Vaccine, parasiticide, and refill reminders driven by structured timelines (not ad-hoc calendar entries)
Why DiveScale
Domain knowledge meets engineering rigor
Veterinary medicine is medicine with a workforce problem. Clinics are short-staffed, margins are tight, and most existing software was written decades ago and still feels like it. DiveScale ships vet-specific products that meet the realities: short consult windows, multi-pet households, multi-clinic ownership groups, and the unwritten rules of how a working exam room actually runs.
Our production stack here is the same disciplined foundation we apply across regulated industries: NestJS APIs, Next.js (App Router) on the client side, Terraform-managed AWS, AWS Lambda for event flows, GitHub Actions CI/CD with OIDC, Docker containers built and signed in CI, and Auth0 for identity. We use Figma + Code Connect to keep design and code paired — crucial for vet UX where small inconsistencies erode the trust clinics extend to a third-party product.
On the AI side we ship two production-grade flows. The first is AI chat — triage, intake, refill requests, post-visit care — grounded in your clinic policy and species-specific knowledge, with explicit refusal patterns when uncertainty is high. The second is AI voice via ElevenLabs, where we built natural, multilingual phone agents that handle after-hours triage, reminder calls, and post-visit check-ins. Both stay inside policy guardrails and escalate cleanly to a real veterinarian when judgment is required.
Scanned-report intelligence is where vet teams gain the most operational lift. Using Mistral’s OCR, we extract structured data from x-rays, lab results, vaccine certificates, external referral notes, and historical paper records — turning scanned PDFs and images into clean fields that flow straight into the patient record. New patient onboarding goes from a 15-minute manual transcription to a 60-second upload-and-confirm flow.
We treat billing with the same care as the clinical layer. Custom Stripe integrations cover deposits, treatment-plan financing, Stripe Connect for multi-clinic payouts, subscriptions for wellness plans, and the reconciliation reporting accountants actually need. Refunds, disputes, and partial captures all run idempotently — a real-world cleanup for vet billing that historically lived in spreadsheets.
Operationally we cover the boring parts that decide whether a vet product survives its first year: multi-clinic configuration, role-scoped access (owner vs. tech vs. doctor vs. front desk), audit trails on clinical actions, observability with CloudWatch + OpenTelemetry, on-call coverage, and a release cadence that does not bring the clinic down at 8:30am on a Monday.
Veterinary solutions we deliver
How we deliver
Our veterinary delivery process
- 01
Workflow study in real clinics
Before any architecture, we sit with vet teams during real shifts — front desk, technicians, doctors — and document the actual workflow. Vet products fail when designed for the demo, not the exam room.
- 02
PIMS & integration plan
We audit your current PIMS, communications stack, payment processor, and lab/referral vendors, then design the integration surface. Where APIs exist we use them; where they do not, we build careful bridges and document the brittleness honestly.
- 03
Foundation: Terraform, AWS, Auth0, CI/CD
Multi-account AWS via Terraform, Auth0 tenant set up with roles per persona, NestJS + Next.js scaffolding, GitHub Actions reusable workflows, Docker pipelines, observability stack — the platform layer everything else depends on.
- 04
AI chat & voice
Chat agents grounded with clinic-specific knowledge and species-specific protocols; voice agents on ElevenLabs with latency tuning, multilingual coverage, and clean PIMS write-back. Evals built before launch, shadow-mode rollout before live.
- 05
OCR & scanned-report intelligence
Mistral OCR pipelines for x-rays, lab reports, vaccine certificates, and external referrals. Confidence scoring, human review for ambiguous fields, and direct flow into the patient record.
- 06
Billing, onboarding & client experience
Custom Stripe flows for deposits, plans, and payouts; new-patient onboarding flow; reminder cadences; and the client-facing Next.js app that ties everything together.
- 07
Pilot in one clinic, then network rollout
Pilot in a single flagship clinic, gather weekly feedback from front-desk and clinical staff, fix what does not match real workflow, then roll out across the network with documented playbooks and per-clinic configuration.
- 08
Operate, monitor, evolve
On-call coverage, monthly reporting on AI eval scores, PIMS integration health, billing reconciliation, and a roadmap driven by clinic-team feedback — not assumptions.
Technologies we deploy for veterinary
OpenAI
Production-grade integrations with GPT-4o, GPT-4.1, o-series reasoning models, Realtime voice, embeddings, and the Assistants API.
Learn moreAnthropic (Claude)
Production builds on Claude Opus, Sonnet, and Haiku — long-context reasoning, tool use, prompt caching, and Computer Use agents.
Learn moreAgentic Workflows
Multi-step AI agents that plan, call tools, write to systems, and stay inside policy — with human-in-the-loop checkpoints where it matters.
Learn moreGenerative AI
End-to-end generative AI engineering — strategy, prototype, evaluation, and production for text, image, audio, and code.
Learn moreNext.js
Production Next.js engineering — App Router, RSC, edge runtime, ISR, SEO-first metadata, and the deployment topology that fits your workload (Vercel or self-hosted).
Learn moreNode.js
Production Node.js engineering — NestJS, Fastify, Hono, real-time systems, job queues, and the operational discipline that single-threaded runtimes demand.
Learn moreTypeScript
End-to-end typed engineering — React, Next.js, NestJS, Node, and shared schemas — with the discipline TypeScript was built for.
Learn moreAWS
AWS architecture, migration, and platform engineering — multi-account governance, well-architected workloads, Terraform IaC, and the operational discipline production demands.
Learn moreAWS Lambda
Lambda function design, optimization, and operations — cold-start mitigation, IAM scoping, observability, and the architectures where serverless wins.
Learn moreTerraform
Terraform engineering — module design, state strategy, multi-account governance, policy-as-code, drift detection, and CI-driven plan / apply for multi-cloud estates.
Learn moreDocker
Production Docker engineering — small images, multi-stage builds, BuildKit caching, security scanning, and the operational discipline containers deserve.
Learn moreGitHub Actions
GitHub Actions engineering — reusable workflows, OIDC-to-cloud, runner strategy, and the discipline that turns pipelines into a platform.
Learn morePostgreSQL
Production PostgreSQL — schema design, query tuning, replication, partitioning, and the operational discipline a serious database deserves.
Learn moreIoT
End-to-end IoT engineering — firmware, gateway, edge compute, cloud ingestion, and the dashboards that turn telemetry into decisions.
Learn moreVeterinary — Frequently Asked Questions
It handles triage (symptom severity), intake (collecting clinical history and contact details), appointment booking, refill requests, and post-visit follow-up. It is grounded in your clinic policies and species-specific knowledge, with explicit refusal patterns when uncertainty is high — ambiguous cases route to a human, with full context preserved.

