Wikit Semantics:
—a sovereign multi-AI platform

Create, deploy, and orchestrate AI applications (RAG chatbots, agent-based workflows, etc.) to automate your tasks and boost your productivity.

Explore the platform
agent-based AI platform
    Martin Belaysoud Group
    Pays de la Loire Region
    INSA Lyon

Discover the platform's key features

No-code: create AI applications without coding

Create and manage AI applications and agents without any technical expertise. Automate your processes and deploy your applications in just a few clicks.

Zero Lock-in: An AI-Agnostic Infrastructure

Access the best AI models (GPT, Claude, Mistral...) on a single platform. Compare, test and change models as needed.

Wikit Semantics platform
Agent-Based AI: AI applications that take action on your behalf

Create agents capable of reasoning, calling your business tools, and performing actions in your IT system using the Model Context Protocol (MCP).

Connectors: Integrate your tools and data sources

Connect your business tools with a single click: enjoy seamless, native integration thanks to our connector library and the MCP protocol.

Wikit Semantics platform
RAG and data management: secure your AI applications

Thanks to AGR and sophisticated safeguards, you can be sure of accurate, reliable answers.

Advanced control: optimize your AI applications in real time

Stay in control with an intuitive dashboard. Track your applications' activity and adjust them with ease.

Why choose Wikit Semantics?

No-code

Simply build, deploy and orchestrate your AI applications, without a single line of code.

Sovereignty

Keep control of your data with a secure, sovereign platform.

Multi-AI

Switch AI models at any time based on your needs.

Compliance

Ensure your GDPR compliance without training a model on your data.

AI integration designed for your specific needs, across your channels

collaborative toolswikit business toolswikit search engine
Web interface
Desktop application
Collaborative tools
Business tools (via API & MCP)
Vocal 
Search engine

They trusted Wikit to deploy their AI agents

Testimonial from Benoît Bonnefoy, CIO, Descours & Cabaud:

"The chatbot has had a strong impact and very convincing results on our support issues. Our users are satisfied and often give us positive feedback. The Wikit solution is a real plus for both agents and users."

Testimonial from Alexandre LETIC, Support Manager:

By making conversational AI the first mandatory filter for our support system, we haven’t just automated 20% of our requests—we’ve also enhanced the role of our support technicians, who are now able to focus on high-value cases rather than repetitive requests.

Testimonial from Groupe Samse:

"In just a few months, our IT chatbot has proved its worth: over 2,000 conversations recorded, a 98% relevance rate and a significant drop in calls to the helpdesk. It's a real lever for improving the employee experience and refocusing our support teams on complex requests."

Testimonial from Stéphane JACQUET, CIO:

“AI opens up concrete opportunities for INSA Lyon: easier access to information, smoother user experiences, task automation, and improvements to our digital services. Partnering with Wikit was a natural choice thanks to their secure approach and seamless integration with our tools.​ Beyond the technology, our goal is to guide our entire community toward responsible, autonomous, and meaningful use of AI, leveraging Wikit’s expertise and reliability.​”

Testimonial from Cédric LOCHMANN, Chief Data Officer, Martin Belaysoud Group:

“With Wikit, we’ve made information accessible to everyone, simply and effectively. Their support has been essential in turning AI into tangible value.”

Testimonial from Katia MERCERON, Assistant Director of Information Systems:

The chatbot implemented as part of the 2026 intra-academic initiative has led to a reduction of nearly 92% in phone calls and 60% in emails. It enhances users’ independence while allowing our teams to focus on the most complex situations. This results in both time savings and improved quality—both in the service provided and in the work of managers.

Testimonial from Alexandra Colin, Project Manager, Schmidt Group:

"Wikit was able to meet our 2 distinct needs by offering us 2 chatbots adapted and interfaced to our IWS ticketing tool. We're delighted to have chosen Wikit for our chatbot projects!"

Testimonial from Julien ERGAND-PICOT, ON AIR Project Manager, University of Lyon 1:

“Working with Wikit on the rollout of the ON AIR assistant was an experience that was both professional and personal. Their team successfully combined technical expertise with flexibility, supporting us with tailored tools and consistent responsiveness, while allowing us a great deal of autonomy in building the assistant. Their availability and collaborative approach were major assets, especially during the key phases of the launch.”

Testimonial from Romane LUTZ, Communications Officer:

"A big thank you to the entire Wikit team for your mobilization, your attentiveness and your support throughout this project! Villefranche is delighted to have collaborated with you to offer our residents and visitors quick and easy access to information thanks to this innovative new tool!"

Testimonial from Johanna DAMOUR, Assistant Director of Communications:

"The Wikit platform stood out for its rich functionality. We were also convinced by the flexibility of its solution, which easily adapts to our specific needs and the diversity of our audiences."

We answer your questions about Wikit Semantics

Can the Wikit platform be used to create AI chatbots?

Yes, the Wikit Semantics platform makes it easy to design chatbots powered by generative artificial intelligence. These chatbots can be used to answer users' questions, automate support or guide users through the process. Thanks to Wikit's no-code approach, you can create a chatbot without any technical skills.

What's the difference between an AI chatbot and a traditional chatbot?

A traditional chatbot often relies on rigid decision trees and predefined responses. A Wikit chatbot, on the other hand, leverages the capabilities of generative AI (such as GPT, Mistral, etc.) to provide contextualized, natural responses, drawing on your internal information sources. It can also be part of a larger AI application, with several orchestrated intelligent agents.

Are Wikit chatbots multilingual?

Yes, the AI models used by Wikit understand many languages. So you can design chatbots capable of interacting with your audiences in French, English, Spanish or other languages, depending on your needs.

What are the most common AI chatbot use cases?

The most widespread use cases include: assistance to citizens with administrative formalities (local authorities), HR support for employees (access to procedures, vacations, teleworking, etc.), IT support (help with resolving incidents, hardware requests), customer support, dynamic FAQs, customer guidance, or even business co-pilots.

How does Wikit ensure the reliability of my AI chatbot's responses?

Wikit integrates advanced technologies such as RAG (Retrieval-Augmented Generation), which enables AI to draw on your reliable data to generate its answers. You can also configure rules and safeguards, and visualize the sources used to respond, to guarantee quality and consistency.

Can you supervise or correct your AI chatbot's responses?

Yes, you can monitor conversations, spot misunderstandings or possible improvements, and adjust content accordingly. The platform offers an administration space for supervising, correcting and developing your chatbot over time.

On which channels can I deploy my AI chatbot?

The Wikit Semantics platform enables you to deploy your AI chatbot on a wide variety of channels, depending on your organization's needs and your users' preferences: Website (via a widget or dedicated page), desktop application, ticket management systems (via ITSM integrations like GLPI or Jira), internal portals (Intranet, collaborative platforms), messaging systems (Teams), and so on.

Wikit gives you total flexibility to choose the channel or channels that best suit your users, while guaranteeing a smooth, seamless experience on every platform.

Is it possible to combine chatbots and AI agents in the same application?

Absolutely. The chatbot can be one of the entry points to a more global AI application, in which several agents collaborate (for example: a receptionist, an HR agent, a business agent...). Wikit lets you orchestrate this collaboration to deliver an optimal user experience.

Ready to explore the Wikit Semantics platform?

Explore the platform's features and discover the potential of AI for your organization!