Assisted triage with the human in the loop
Models that help prioritise based on symptoms and context, supporting the professional's decision without replacing it, with explainable criteria and clear limits.
Applied AI · HealthTech & Health
Applied AI for HealthTech & Health
We apply AI to clinical practice and to your healthcare product —assisted triage, clinical summaries, data extraction from reports and assistants— with the privacy and traceability that medical data demands.
THE CHALLENGE
The challenges of HealthTech & Health
Healthcare software handles sensitive, critical data where privacy, interoperability and availability are not optional. It requires demonstrable security, traceability and regulatory compliance by design.
- Medical data privacy (GDPR, healthcare frameworks)
- Interoperability (HL7/FHIR)
- Security and traceability
- High availability
- Compliance and certifications
How we help you
In health, AI doesn't decide, it assists. Its value lies in giving time back to the professional and organising scattered information, without ever compromising patient privacy or clinical responsibility. We apply artificial intelligence to concrete, measurable tasks —prioritising, summarising, extracting, searching— embedded in your care workflow and with the human always in the loop. Architectures that respect GDPR and healthcare frameworks by design, with traceability for every data point and every answer.
Clinical summaries that save time
Generation of medical history summaries, progress notes and reports from existing documentation, so the professional spends less time writing and more with the patient.
Data extraction from reports
We structure data from reports, PDFs and unstructured notes into usable fields, with validation, to feed your systems without manual transcription.
Assistants with privacy by design
Assistants over your clinical documentation and protocols, with data minimisation, anonymisation and deployment in your environment when sensitivity requires it.
WHAT YOU GAIN
Applied AI, results-driven
- Use cases prioritised by business impact
- Integrated with your data and your product, not an isolated chatbot
- Model cost and latency under control
- Evaluation and guardrails for reliable answers
- From prototype to production with judgement
FAQ
Frequently asked questions
How do you guarantee the privacy of medical data?
With privacy by design: data minimisation and anonymisation, access control, encryption and traceability. When sensitivity demands it, we deploy open models in your own environment so the data never leaves it.
Does AI replace the healthcare professional's decision?
No. We design every use case with the human in the loop: AI prioritises, summarises or extracts, but the clinical decision and the responsibility remain with the professional. The answers are explainable and reviewable.
Can you extract data from reports in different formats?
Yes. We process reports, PDFs and unstructured notes to turn them into structured, validated data that feeds your medical records or your systems, reducing manual transcription and its errors.
Does it comply with GDPR and healthcare sector requirements?
We work with compliance by design, aligned with GDPR and the applicable healthcare frameworks: traceability, access control and model evaluation. We prepare the system for audits from the start.
Will AI actually work for my case or is it just a demo?
We start from the business problem, not the technology. If a use case doesn't deliver measurable value, we'll tell you. We only take to production what justifies it.
Do you use your own models or third-party ones?
Both, as appropriate: commercial models via API to move fast, and open or fine-tuned models when cost, privacy or latency demand it.
Shall we build something that scales, together?
Tell us about your project. We'll get back to you with a concrete plan and a senior team — not a generic quote.