Wikit Semantics:
—a sovereign multi-LLM platform

The simplicity of no-code, the power of AI

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

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

With RAG and sophisticated safeguards, ensure accurate and reliable responses.

Advanced control: optimize your AI applications in real time

Stay in control with an intuitive dashboard. Monitor your apps' activity and easily make adjustments.

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-LLM

Switch AI models at any time based on your needs.

Compliance

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

The Wikit Semantics platform applies the principle of data protection by design: it was designed from the outset to protect personal data. All information entrusted to the platform is hosted in France at OVHcloud data centers and is not used to train AI models. Every instance of data processing is traceable, and you retain control over how long your data is retained. 

The platform’s sovereignty is guaranteed; the choice of model is up to you. You can opt for a sovereign model for a fully European system—from hosting to processing—or choose a non-European model if performance is more important than this criterion for your use case. 

AI designed for your needs, across all your channels

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

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 elevated the role of our support technicians, who are now focused 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’ autonomy while allowing our teams to focus on the most complex situations. This saves time and improves quality, both in terms of the service provided and 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

What are the advantages of using a unified AI platform rather than separate tools?

Using a unified platform like Wikit Semantics allows you to :

  • To centralize the management of your AI agents and their data sources

  • To avoid spreading resources across multiple tools that do not communicate with each other

  • To ensure functional consistency and overall oversight

  • To reduce costs by streamlining the development of AI agents

  • To become more agile in order to quickly deploy new use cases

What is Wikit's pricing model?

Wikit Semantics is offered as an annual subscription with no pay-as-you-go billing: you know your budget from the start. Four SaaS plans (Starter, Standard, Plus, and Premium) support the growth of your AI projects. Each plan includes:

  • the number of AI applications you can deploy;

  • the number of data sources you can connect to your agents;

  • connectors to your business tools, including the MCP protocol in the most comprehensive offerings;

  • distribution interfaces: chat, API, Microsoft Teams, and even white-label solutions; annual usage volume, in terms of the number of users and requests;

  • the level of support, up to unlimited support.


Higher-tier plans also include SSO and a no-code studio for designing custom workflows. Regardless of the plan, the catalog of ready-to-use AI agents is included. Contact Us to find the plan that best suits your needs and get a quote.

What is a multi-LLM platform, and what is it used for?

A multi-LLM platform is one that provides access to multiple language models—such as GPT, Claude, or Mistral—and allows them to be used within a variety of applications. In practice, you choose the model best suited to your specific needs (IT support, customer relations, user relations, etc.) and retain the flexibility to switch to a different one if your needs change: this is a multi-LLM approach. 

Bonus: You manage everything from a single location, instead of using multiple tools on a department-by-department basis. 

Does the Wikit platform allow users to create different types of AI agents, in addition to chatbots?

Yes, the Wikit platform gives you the tools to create exactly the agents you need: RAG chatbots capable of retrieving information from a specific database, AI agents dedicated to specific functions (HR, IT support, customer or user relations…), or agent-based workflows (processes in which autonomous agents handle a sequence of tasks with limited human intervention) custom-built using our no-code editor.  

Our platform thus allows you to create and centralize all the AI applications your organization and business teams need. 

What is the difference between Wikit and other AI platforms on the market?

Wikit excels in two areas that few vendors combine. Our AI agents are used by business units within large private corporations as well as by local governments, federal agencies, and public institutions. This dual expertise enriches our product: the security and accessibility requirements from the public sector benefit our private-sector clients, and the need for integration with information systems from the private sector benefits public organizations.

The second difference lies in how you get started with AI. You can deploy an existing agent from the AI agent catalog to address a common need in just a few clicks, or build your own agent using the AI Studio when your need is specific.

Finally, you’re not on your own when using the tool. The no-code approach makes the platform accessible to business leaders without technical expertise, and our teams support you from scoping through deployment. 

How does the platform integrate with my existing business tools?

Wikit Semantics connects to your information system in three ways, depending on the type of tool involved.

  1. The library of native connectors covers the software available on the market: ITSM, EDM, CMS, CRM, digital workplace, directories, and collaboration tools. Some give your agents access to your knowledge bases, while others allow them to take action (create a ticket, send an email, transfer the conversation to an agent, etc.).

  2. The MCP (Model Context Protocol) opens up possibilities for agent-based applications. The platform connects to both the MCP servers provided by Wikit and those you make available yourself, allowing your agents to call your own tools and perform actions within them.

  3. Finally, REST APIs cover specific integrations.

Do you need technical skills to create an AI agent with Wikit?

No technical skills are required to create an AI agent using the platform Wikitplatform. You can use an agent available in our catalog of ready-to-use agents to address a common need (IT support, human resources, customer or user relations) or build your own AI agent using the no-code Studio, without writing a single line of code, for more specific needs. In both cases, our teams will guide you step by step and remain available to answer any questions you may have. 

How does Wikit ensure the security of my organization's data?

Wikit has implemented precautionary measures to ensure the highest possible reliability of the responses provided by its tools and to protect the data entrusted to it. When it comes to responses, the AI agents draw on a document database that has been validated in advance (via the RAG information retrieval system), with technical, human, and organizational safeguards in place.

Regarding data, the multi-AI platform for businesses and local governments is hosted in France by OVHcloud, and the data is never used to train the models.

Good to know: Our platform undergoes an annual security audit, including penetration tests conducted by an external service provider. Access is managed through your existing identity management system via SSO. 

Is Wikit Semantics a sovereign AI platform?

Yes. The Wikit Semantics platform is hosted in France by OVHcloud. Your data is never used to train AI models. For AI models, you choose where your data is processed—on a per-agent basis—depending on the sensitivity of each use case. Three hosting tiers are available:

  • Level 1, in France: The models are hosted by OVHcloud or Scaleway (Mistral AI, Qwen, DeepSeek, GLM, etc.). This is the highest level of data sovereignty, suitable for the most sensitive data.

  • Level 2, in Europe: The models are hosted on Microsoft Azure in European data centers (OpenAI, Mistral AI).

  • Level 3, globally: The models are available directly from their developers (Anthropic with Claude, OpenAI) for uses that require the most recent models and do not involve sensitive data.

Ready to explore the Wikit Semantics platform?

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