i-diXit audits every clinical decision against the latest guidelines — flagging unjustified deviations and communication gaps after each consultation, without changing how you practice.
A continuous safety net — not a scribe.Medical science now advances faster than anyone can absorb it — and no one closes the loop.
No feedback → no improvement.
No data → no certification.
i-diXit closes the loop.
Passive audio capture during the consultation. Zero administrative burden.
Free text becomes structured, pilotable clinical data.
Each decision checked against a knowledge base built from scientific-society recommendations.
Clinical gaps sorted justified vs unjustified — plus an empathy & communication read.
Only on major atypicality: “Take note & comment.” Never an interruption.
Aggregated, anonymized insight for physicians and clinics.
i-diXit only steps in when variability is high and unjustified — to inform the decision, never to interrupt the workflow.
Four real screens, in order — from launching an analysis to the audited, guideline-checked report.
It listens, structures the note, and audits each decision — then sends one intelligent, non-punitive alert.
Post-consultation.
Never interrupts. Never decides for you.
Decide freely, stay secured.
Stop typing — i-diXit listens and generates an instant, faithful structured note. Prioritize the patient, not the keyboard.
The latest international recommendations without active watch — the bridge between science and your daily practice.
Immediate alerts on major omissions or deviations, plus unique feedback on communication and ethics. 80% of claims trace back to soft-skill failures.
Post-consultation analysis — decision support, never substitution. Your autonomy, preserved.
i-diXit steps back so you can care — watching over your practice like a vigilant co-pilot.
HAS certification, proven — not declared.
Every decision matched to European guidelines and local protocols.
Evidence of shared decision-making, captured through NLP analysis.
Autonomous identification of near-misses (EIAS), with individual feedback to physicians.
The evidence HAS now requires — covered not at 1%, but at 100% of acts.
Since 2024, HAS demands field proof that protocols are applied and every act is justified. We produce it — automatically.
Each specialty ships with international, multi-country guidelines — reviewed and updated yearly by our medical experts.
10+ specialties on the roadmap by mid-2027 — deployed with minimal infrastructure, the same audit engine underneath.
The full audit detail — clinical findings, communication, justifications — is shared with the treating physician alone. A secured barrier, by design.
Clinics see only anonymized, cohort-level data (minimum 10 consultations) — by specialty, pathology, guideline and region. Certify HAS without ever singling out a practitioner.
Trust by design. Surveillance by no one.
Hébergement de Données de Santé — highest level of security and traceability for sensitive medical data.
Strict access controls, automatic encryption, ISO 27001 / 27017.
Paris region (eu-west9). EU-native by design: AI Act, HDS, GDPR.
Every consultation is fully anonymized today — not just PII masking. Cohort analytics never expose an individual.
Defense-in-depth against prompt injection, granular authorization, agent identity verification.
Control points before any sensitive action, with full audit trail.
A Toulouse startup born from a collaboration between physicians and software engineers — co-building a tool that serves daily practice without adding administrative load.
Former Head of Container Technologies & PaaS at Airbus, with earlier roles at Michelin and Sopra Steria. Two decades scaling secure, critical infrastructure — now leads i-diXit's strategy, operations and platform.
Urological surgeon and expert in laser surgery for prostatic hyperplasia, awarded the Académie Nationale de Médecine's 2015 Urology Prize. Brings clinical reasoning and field credibility.
Former AI lead at Onepoint, now driving i-diXit's machine-learning architecture — from speech recognition to clinical-reasoning analysis.
INRIA Research Director and holder of ANITI's "Fair & Robust Learning" Chair, specialist in AI fairness, robustness and auditing — keeping i-diXit's models fair, robust and auditable.
Professor of Geriatrics and Vice-President of France's Agence du Numérique en Santé (ANS), Innovation Director at Clariane and a long-time collaborator of the HAS.