How we help digital health teams

We help digital health teams define where AI can add real value and where it cannot. From stakeholder alignment and use case identification to AI roadmaps, safety frameworks, and governance design.

• AI readiness assessment and roadmapping
• Use case identification and prioritisation
• Behavioural science and clinical integration
• Safety, governance, and regulatory frameworks

Hands-on consultancy, team augmentation, and end-to-end delivery across the full patient and user journey. From behavioural diagnosis and product development through to data analysis, research, and peer-reviewed publication.

• Behavioural diagnosis, segmentation, and onboarding design
• AI product development and engineering
• Data analysis and research demonstrating product effectiveness
• Conference abstracts, white papers, and scientific publications

PromptSafe is the evaluation platform we use when building conversational AI for clients — and it's also available as a standalone service. It tests AI systems against realistic synthetic personas and expert-informed behavioural and clinical criteria, including adversarial personas designed specifically to find weaknesses in your agent.

Personas are customised to closely reflect your actual end users or patients. We build custom evaluators and evaluation criteria across a wide range of clinical and behavioural domains. Once weaknesses are identified, PromptSafe provides direct, practical feedback on how to improve your agent.

• Customised personas aligned to your end users, patients, or clinical population
• Adversarial personas designed to probe and expose agent weaknesses
• Custom evaluators built across clinical and behavioural domains and metrics
• Practical improvement recommendations — not just signals, but actionable feedback
• Available as a standalone service via API — we never see your system prompt or agent configuration
• No code required — connect your agent or prompt and start testing in minutes

OVRSI is an independent monitoring layer that continuously reviews real-world conversations between patients and AI systems — monitoring both what users say and how the AI responds. It surfaces safety signals, behavioural patterns, and model drift over time, producing structured, explainable evidence for human review, governance, and regulatory readiness.

Unlike generic observability tools, OVRSI uses explicit logic grounded in knowledge graphs — generating transparent, inspectable signals without access to system prompts or proprietary architectures.

• Monitors AI responses and patient/user signals in real time
• Surfaces safety risks, drift, and behavioural pattern changes
• Explainable, inspectable evidence — built for regulated environments
• Supports bespoke oversight aligned to your SOPs and clinical programmes
• Seeking design partners and investors