Pontiro
Pontiro provides independent, vendor-neutral evaluation of healthcare AI systems, assessing workflow fit, clinical trust, and measurable ROI beyond standard model metrics. The company also offers data anonymisation services that strip patient identifiers from medical images and clinical reports, enabling compliant research and AI development. Evaluations deliver board-ready scale, stop, or redesign recommendations within 4–12 weeks.
- Healthcare Technology
- Artificial Intelligence
- Data & Analytics
- Software Only
Funding
Raised to date
£357.5KRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Est. $454Kacross 1 round
BB£357.5K · Seed
Announced Feb 2026 · from article date
Disclosed cumulative: $454K
Founders
Founder details are not available yet.
Product
Problem
Most healthcare AI evaluations stop at model performance metrics like AUC and sensitivity, which are insufficient to determine whether a tool will work in a real clinical setting. This leads to failed deployments where workflows break, clinicians don't trust the tool, and organisations cannot quantify the return on investment for the board.
Solution
Pontiro provides independent, vendor-neutral evaluation of healthcare AI systems, looking beyond model metrics to assess workflow fit, clinical trust, and measurable ROI. The company offers structured evaluation engagements that produce board-ready decisions with clear scale, stop, or redesign recommendations within 4–12 weeks. Pontiro also delivers data anonymisation services that strip patient identifiers from medical images and clinical reports, enabling healthcare organisations to unlock data for research and AI development without compliance risk. Every engagement ends with a clear answer and a clear next step, supported by evidence-based financial and clinical impact analysis.
Target Audience
Primary customers are hospitals, healthcare providers, and AI vendors who need independent, evidence-based assessment of AI tools before procurement, deployment, or scale decisions, as well as research teams seeking compliant access to anonymised clinical data.
Features
- Vendor-neutral evaluation framework with no marketplace or vendor affiliations, assessing model performance, workflow fit, clinical trust, and cost/outcomes accountability
- Structured evaluation process delivering clear scale/stop/redesign recommendations and board-ready evidence in 4–12 weeks
- Data anonymisation technology achieving 99.9% PII removal across DICOM images and clinical reports with full GDPR compliance, as demonstrated in a case study with the National Imaging Academy of Wales
- Free readiness assessment offering a scoping call, assessment framework, and written findings report delivered in 5 days with no obligation
- Evaluation tracks tailored for hospitals, AI vendors, and research teams covering AI evaluation, vendor readiness, and data anonymisation