One platform, across sectors
Healthcare, employment, social services and nonprofits, governments: the sectors where we deploy the Bayes Platform, and what it already does there.
Our approach
- The shared problemProfessionals supporting ever more people, under rules that keep changing.
- Our answerThe Bayes Platform, deployed with the institutions and nonprofits of each sector.
- For a governmentDigital public infrastructure: one shared foundation on which every ministry builds its agents.
What gets built on the Bayes Platform
The agents our partners build or study on the Bayes Platform, by type.
44 use cases
- Healthcare
Augmented patient portal
In the hospital's patient portal, the agent finds the right procedure among many and brings it forward.
- Healthcare
Therapeutic patient education
Patients ask about their treatment between two appointments, from a corpus their care team has validated.
- Healthcare
Patient pre-consultation
Gathering and structuring what the patient says before the first consultation, and spotting emergencies.
- Healthcare
Post-discharge patient follow-up
Collecting the patient’s symptoms at home and passing the signals that matter back to the ward.
- Healthcare
Chemotherapy pathway assistant
From the patient interview to the discharge letter, with anomalies flagged to the prescriber.
- Healthcare
Conversational welcome booklet
Patients query their ward's welcome booklet; care questions are sent back to the team.
- Healthcare
Pre-operative information for families
Reliable answers for parents, from the anaesthesia consultation to the day of surgery.
- Healthcare
Home-care companion
Answering, day and night, the family caregivers who look after someone at home, and spotting emergencies.
- Healthcare
Parent psychoeducation after a diagnosis
Supporting parents through the weeks after their child’s diagnosis.
- Healthcare
Assisted replies to patient messages
The team answers patient messages faster, drawing on its past replies.
- Healthcare
Personalised health prevention
Sourced prevention advice, fitted to the person’s health and where they live, with the right places to go.
- Healthcare
Mental-health orientation
Informing people, young people first, and pointing them to the right medico-social services.
- Healthcare
Health education for teenagers
Answering, without judgement, the questions teenagers do not dare to ask.
- Healthcare
Clinical protocol navigator
Finding the right protocol, guiding its steps and showing the source.
- Healthcare
Patient-record summary
A scattered patient file becomes a sourced, dated summary for the emergency doctor.
- Healthcare
Prescription assistant
From the patient’s profile to a reasoned prescription, on the department’s own references.
- Healthcare
Lab-results conclusions
Structuring each sample's data and drafting a conclusion that follows the lab's quality rules.
- Healthcare
Clinical-trial eligibility pre-screening
Reading a patient file, assessing trial eligibility, flagging missing data and justifying the answer.
- Healthcare
Care-offer navigator
The professional describes the need; the agent asks, searches the directories and answers with a map.
- Healthcare
Clinical-guidelines knowledge base
Querying official guidelines and getting an answer that cites the paragraph.
- Healthcare
Health data in natural language
Clinicians query a patient's data, connected devices included, without writing a query.
- Healthcare
Adverse-event reporting
Guiding staff through the report, collecting complete information and giving a first response.
- Healthcare
Care-quality indicator analysis
Rebuilding the care pathway from coded data and reading the indicators against national benchmarks.
- Healthcare
Systematic-review screening
Screening articles against a review's inclusion criteria, with the reason for each decision.
- Healthcare
Coding clinical reports for research
Extracting from a clinical report the scores a study used to code by hand.
- Healthcare
Regulatory assistant for clinical research
Turning a regulatory requirement into a protocol decision, with the texts behind it.
- Healthcare
Symptom triage and outbreak monitoring
Steering someone with symptoms to the right level of care and preparing what the clinician must report.
- Employment
AI coach for jobseekers
In their own personal space, a coach that points to the right service, estimates entitlements and finds openings.
- Employment
Job and support search for caseworkers
From the assistant they already use, caseworkers find openings, hiring companies and local services.
- Employment
Youth-employment adviser assistant
Finding the local support, training and partners for a young person, in the adviser's own documentation.
- Employment
Personalised action plan for young people
A young person's answers become a checkable action plan, drawn from a directory the team keeps up to date.
- Employment
Career discovery for a sector
Discovering the careers of a sector, care and social work for instance, and the training that leads there.
- Employment
In-demand jobs explorer
Browsing the in-demand jobs of a region and the training that leads to them.
- Employment
Assisted directory update
An agent prepares the yearly update of an official list; a person approves it.
- Employment
WhatsApp assistant for entrepreneurs
Answering supported entrepreneurs on WhatsApp, from the training content.
- Social & Nonprofits
Social worker copilot
Notes that become action plans, case files that keep themselves up to date.
- Social & Nonprofits
Knowledge agent for advisers
Making searchable the answers social workers keep, situation by situation.
- Social & Nonprofits
Benefits navigator for families
Telling a family which support it is entitled to, and guiding it through the steps.
- Social & Nonprofits
School-family mediation
Easing exchanges between schools and families who don't speak French.
- Governments
Conversational public-service counter
A procedure handled end to end in a messaging app: the need, identity, a pre-filled form, payment.
- Governments
Case officer copilot
The request lands in the officer's tool, where they see what the AI did, on which sources, and approve it.
- Governments
Archive digitisation
Paper archives turned into a structured, searchable base.
- Governments
Business tools for a public assistant
Building and maintaining the tools a public assistant calls, one per use case.
- Governments
Evaluating a deployed generative AI
Measuring the quality of an assistant already in place, with the platform's evaluation tools.
Use cases built by caregivers
Impulse Healthcare, the programme

Launched in January 2026 in partnership with AP‑HP, Paris, Impulse.Healthcare is how the Bayes Platform entered public hospitals.
Hospital teams turn their ideas into healthcare use cases they build themselves on the platform, tested in real conditions and shared as open-source digital commons.
Supported by a $5M grant from Google.org, the program is now expanding across Europe, with cohorts launching in Italy, Germany, Poland, and Spain by end of 2026.
23
Healthcare use cases built by caregivers
15+
Hospitals that built one of them
200+
Caregivers trained
$5M
Google.org grant
Demo Day, July 1, 2026. Pitch and live demonstration of the 23 projects before a panel of healthcare and AI experts.
The programme in detail: what it makes possible, calendar, Demo Day, partners, questions
What the programme makes possible
Personalized care
AI agents that adapt to each patient’s context, drawing on the institution’s own clinical guidelines.
Care pathway coordination
Smoother handoffs between professionals, departments, and external partners across the patient journey.
Streamlined operations
Repetitive administrative work absorbed by agents, freeing teams for higher-value tasks.
Time reclaimed for caregivers
Less paperwork, fewer interruptions, more time at the bedside, where it matters most.
The programme calendar
Open call
Each proposal is reviewed before selection.
Incubation
Projects are developed and tested in clinical settings.
Demo Day
Public showcase of the projects built during the pilot phase.
Extension
Roll-out to other public hospitals across France and Europe.
The Demo Day, in pictures
Highlights from our first Demo Day at Hôtel-Dieu, July 2026.
Partners




Frequently asked questions
What does the program consist of?
A technology platform that lets hospital professionals develop AI prototypes — combined with methodology support, technical assistance, a secure regulatory framework, and open-source infrastructure.
How is data protected?
Data protection is an absolute priority. Every project complies with GDPR and the AI Act. Technologies are audited by independent third parties. Data is anonymized or pseudonymized, with regular security audits. No data is ever used for commercial or private research purposes.
Who takes part in the program?
The program is aimed at healthcare professionals working in a public hospital: physicians, paramedical and administrative staff, including residents with their supervisor's agreement. No prior AI or computing skills were required to join.
What kinds of projects does the program support?
AI projects that address concrete needs: organizing work (scheduling, repetitive tasks), care coordination, administrative processes, quality and safety. Early ideas as well as existing prototypes.
Is the program paid?
No. Impulse is a public-health innovation program dedicated exclusively to projects of general interest. The full program is free of charge for participating professionals and institutions.
How were projects selected?
Four criteria: relevance of the need (concrete, field-rooted problem), potential impact (improvement of care or working conditions), technical feasibility, and regulatory and ethical compliance.
What does the program ask of project leads?
Active participation. Project leads keep regular availability for collective workshops and working sessions, about two hours per week during the incubation phase.
Charité: complex data for health practitioners, in natural language
With the Institute of Medical Informatics at Charité, Berlin. The clinician opens a patient record, asks a clinical question in their own words, and the answer comes back with the measurements behind it. No query to write, no second tool to open.
Demonstration of the integration, on a sample patient.
Navigating a region’s care offer
12.6M inhabitants, with ARS Île-de-France and GIP SESAN
The ground
A care offer scattered across directories that do not talk to each other. The professional looking for the right service ends up making calls.
What the agent does
It rephrases, asks the questions that genuinely narrow the search, then shows the services on a map, nearby and in context.
What makes it usable
Several directories cross-checked, each with its link and its last update, so the professional knows what they are relying on.
A caveat the project itself carries: the agent helps with orientation, it does not replace medical expertise and is not a medical decision tool. Regional population: INSEE, 1 January 2026.
Alongside caseworkers and jobseekers
In 2016 we launched Bob with Pôle emploi: an open-source coach used by more than 500,000 jobseekers, one of the world’s first AI-powered public services.
Today the same Bayes Platform agents serve France Travail on both sides: in Neo, the caseworkers’ assistant, and in the jobseekers’ personal space.
500,000+
jobseekers supported by Bob
6M
jobseekers in France Travail’s scope
Neo: the caseworkers’ assistant, extended with specialist agents
Neo is the assistant France Travail’s caseworkers already open. The tool cards in its answers are Bayes Platform agents, called over MCP: the caseworker never changes screen.
Les outils que Neo appelleThe tools Neo calls
- Appelé en MCP : notre serveur MCP expose ces outils, et Neo les appelle comme les siens. La ligne s’allume à chaque appel.Called over MCP: our MCP server exposes these tools, and Neo calls them as its own. The row lights up on every call.
- Bêta : ouvert à un groupe de conseillers testeurs.Beta: open to a group of test caseworkers.
- Non retenu : exposé par le serveur mais pas intégré par France Travail, donc Neo ne peut pas l’appeler.Not integrated: exposed by the server but not integrated by France Travail, so Neo cannot call it.
- Hors périmètre : les sources sont des catalogues, jamais un dossier, et Neo le dit si un conseiller le lui demande.Out of scope: the sources are catalogues, never a file, and Neo says so if a caseworker asks.
Demonstration: an illustrative conversation on a fictitious search. The tools, their sources and their status are those of the real integration as of 24 September 2026.
The same agents become a personal coach for the jobseeker
A space reconstructed for illustration, and a demonstration scenario on test data. In service in the Gard since 7 September 2026, then rolled out department by department.
From the prompt that circulates to a governed agent
A state’s agentic foundation
Digital public infrastructure for agentic government
For a government, the Bayes Platform is digital public infrastructure: one shared, open-source and sovereign foundation on which every ministry builds its agents, instead of one tool per administration.
Just as mobile payments let countries leapfrog traditional banking, AI lets emerging countries leapfrog straight to AI-native government.
Public services in everyday channels
Every procedure in one conversation: messaging, local languages, voice notes.
One foundation, every ministry
Every ministry builds its agents on the same foundation, sovereign and open source, with the data kept in the country.
The case officer stays in control
The request lands in the officer’s own tool, where they see what the AI did, on which sources, and approve it.
Togo: an entire state, on one agentic foundation
Our pilot country: the national platform is being deployed with Agence Togo Digital, and the first citizen journey is going into service. Below, a diploma request handled end to end within the conversation.

9M citizens in the state platform’s scope
Residence-permit renewal
An illustrative scenario, on the real journey going into service. Local languages and voice notes: including the roughly 40% of adults who can neither read nor write (CIA World Factbook, 2015).
And behind it, the back-office copilot
The citizen’s request lands in the case officer’s own tool, and they keep control: they see what the agent did, on which sources, and approve it. The specification the service wrote holds all the way into the back office.
Demonstration, on illustrative data.
Another sector?
We work with institutions, agencies and large nonprofits ready to co-build the AI infrastructure their sector needs.

Helping nonprofits become agentic organizations
In 2024, CaseAI was the first AI copilot designed for social workers: notes became action plans, and profiles updated themselves.
Its features are being rebuilt on the Bayes Platform, so that every nonprofit can take them up and adapt them to its own work.
How we work with a nonprofit
A first use case
We start from one precise need of your teams, and build it with them on the platform.
Your teams design their agents
With no code, on your own rules, with validation before going live and monitoring after.
CaseAI’s features, rebuilt
Notes that become action plans, profiles kept up to date: they are being rebuilt on the platform, for every nonprofit.
You run a nonprofit. Let’s talk about your first use case. Talk to the team →