L'organizzazione no-profit di riferimento che usa l'intelligenza artificiale per reinventare i servizi pubblici su larga scala

Sviluppiamo la tecnologia open source che permette ai servizi pubblici di tutto il mondo di implementare agenti di IA per accompagnare meglio i loro cittadini.

12+ annia costruire IA di interesse generale
8 paesiadottano la Piattaforma Bayes
20M+ personeaccompagnate grazie alla nostra tecnologia
Crediamo in un mondo dove

chi ha bisogno di aiuto possa riceverlo.

Gates Foundation
Google.org
Fast Forward
Raise Sherpas
L'Assurance Maladie
France Travail
Hôtel-Dieu (AP-HP)
BOpEx (AP-HP)
AP-HP
La France s'engage
California Department of Justice
US Dept of Veterans Affairs
Y Combinator
Gates Foundation
Google.org
Fast Forward
Raise Sherpas
L'Assurance Maladie
France Travail
Hôtel-Dieu (AP-HP)
BOpEx (AP-HP)
AP-HP
La France s'engage
California Department of Justice
US Dept of Veterans Affairs
Y Combinator
La nostra tecnologia

Il sistema operativo del governo agentico

Dal lavoro alla salute, passando per le pratiche amministrative, la Piattaforma Bayes permette ai servizi pubblici di implementare agenti di IA al servizio dei loro cittadini.

1Sicura

Segue i tuoi protocolli invece dei riflessi del modello.

2Efficace

Si misura in produzione, su risultati concreti.

3Sovrana

Funziona sulla tua infrastruttura, con i tuoi dati, in open source.

Public servicesVerified sender
La nostra missione

L'IA per permettere ai servizi pubblici di servire meglio le persone che hanno bisogno di aiuto

Crediamo che l'IA possa offrire a ciascuno un aiuto personalizzato, su larga scala. Per questo la sviluppiamo in open source e senza scopo di lucro: perché la tecnologia più avanzata serva i bisogni più urgenti.

La nostra missione in dettaglio →

Introducing the Bayes Platform

The first open-source AI agent platform built for public services. Here is what it does, in the real product.

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Bayes Platform
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01
Model-agnostic
Model-agnostic

The agent is tied to no model and no supplier. Changing either means retesting and recalibrating the harness, with no business logic to rewrite, and open models remain an option when the case calls for one.

02
Infrastructure you control
Infrastructure you control

Managed cloud or your own infrastructure, from a single Docker image. The retention period is yours, and your data never trains a third-party model. GDPR, AI Act, SOC 2 Type II, ISO 27001 and HDS compliance.

03
An open-source commons
An open-source commons

The code is MIT-licensed: you deploy it, change it, and keep it if Bayes disappears. What one institution funds benefits the next, with no licence to buy.

04
Your sources, your protocols
Your sources, your protocols

The agent answers from your handbooks, protocols and official references, never from the open web. Every answer cites the document and the extract it used, and the platform enforces your rules when the model skips them.

06
Governed by your teams
Governed by your teams

Your frontline teams create and tune their own agents, with no code. Every change writes a draft, and nothing reaches the public that a human has not published.

07
Tested before it goes live
Tested before it goes live

Evaluation campaigns replay conversation and extraction datasets against a chosen version. Reviewers rate the answers blind, an LLM judge gives the scale, and two runs compare side by side.

08
Continuous improvement
Continuous improvement

Every exchange is filed under the life situations you defined, and the topics your answers cover badly surface on their own. You complete the corpus, re-evaluate and publish: the agent improves with every version.

09
Plugged into your tools
Plugged into your tools

Each agent is exposed over API and MCP, an open standard: the assistant or portal your institution already runs calls it as a tool. A widget or a public page when that is simpler. Nobody changes screen.