Argovance Startup Profile
An AI-native, founder-led, early-stage startup. We build a veterinary clinical SaaS and an OMOP-CDM research data layer for Life Sciences.
What we build
Argovance develops Flow, a cloud-native SaaS platform for veterinary clinics, integrated with a multi-stage AI pipeline (AI Assistant) that generates structured clinical records from the audio of each visit.
The system natively maps clinical data to the international OMOP-CDM standard. Every visit becomes a unit of pharmaceutical-grade Real World Evidence (RWE) with no post-processing.
The structured data is monetized as Data-as-a-Service to Pharma, CROs and research organizations, in anonymized and aggregated form.
Digital-native business model
Subscription SaaS for veterinary clinics. Recurring revenue, transparent pricing (€15/month pilot, €25/month standard).
Data-as-a-Service for Pharma, CROs and research organizations. Licensing on anonymized OMOP-CDM datasets.
Cloud-native multi-tenant scale: no per-install cost, self-service activation.
Structural network effect: more clinics on Flow → denser dataset → higher DaaS value.
Two product lines
Argovance SaaS — Flow
Cloud-based SaaS platform for veterinary clinics. Zero-click AI Assistant, structured OMOP-CDM clinical records, reduced administrative burden. Browser and mobile, transparent pricing.
Argovance DaaS
Anonymized, structured veterinary datasets with native OMOP-CDM mapping. Research-grade RWE, analytics-ready data layer, use cases across pharmacovigilance, clinical trials and epidemiology.
Cloud-native architecture
- 1Operational layer: PostgreSQL / Supabase, multi-tenant isolation per clinic.
- 2AI pipeline: multi-stage AI Assistant (transcription → de-identification → structuring → OMOP mapping → supervised feedback loop).
- 3Analytics layer: Google Cloud / BigQuery (planned) for the anonymized research data layer.
- 4GDPR-oriented de-identification pipeline.
- 5Browser and mobile SaaS, no on-premise install.
Current development stage
TRL 5. AI pipeline operational on real veterinary visit recordings provided by trusted early testers.
Argovance is founder-led and developed through AI-assisted engineering workflows.
Current focus: transcription, de-identification, structuring, OMOP mapping, feedback loop. Preparing the pilot phase with veterinary clinics.
Founder & team
Simone Lucci — Founder & Product Architect. Mechatronics engineer and EMBA candidate, with experience in R&D leadership, software architecture, industrial automation and product development. Leads product architecture, AI pipeline design, go-to-market and business development.
Partners & Strategic Network
- Modiano & Partners — IP and patent counsel.
- K-City S.r.l. — Technology partner. LOI signed for legacy HIS/RIS connectors and OMOP-CDM gateway.
- Bologna Business School Alumni Network — strategic relationship across Pharma and Life Sciences.
- Active dialogue with a leading global RWE provider.
Argovance is building a strategic network across veterinary technology, Life Sciences, IP, privacy and business development.
Patent & IP
Italian patent application n. 102026000009637 filed with Modiano & Partners (April 2026).
The application covers the multi-stage AI pipeline for structured veterinary clinical record generation, adaptive de-identification, and supervised feedback loop.
International extension under evaluation (PCT / EPO / USPTO).
Patent application process underway — no claim of granted patent.
IP is one of the defensibility pillars together with clinical data network effects, OMOP mapping know-how and privacy-by-design architecture.
Roadmap
- 1Pilot phase with first veterinary clinics.
- 2ISO 27001 certification — information security.
- 3ISO 25012 certification — data quality and integrity.
- 4Commercial launch — national-scale availability.
Why Google Cloud
BigQuery as analytics-grade data warehouse fitting the DaaS layer.
Compliance posture (GDPR, regional data residency) consistent with the privacy-by-design model.
Managed services reduce operational burden for a founder-led team.
Vertex AI and model hosting options aligned with the multi-stage AI pipeline roadmap.
Contact
Three contact points for reviewers, partners and clinics.