Wikit Semantics : No-code, sovereign generative AI platform

Discover the platform's key features

No-code: create AI applications without coding

Develop and orchestrate AI applications without technical skills. Automate your processes and deploy your applications in just a few clicks.

Multi-LLM: choose the most suitable AI model for each application

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

Multichannel: deploy AI where your users need it

Promote the adoption of your AI applications by deploying them on all channels where users are: Semantic Chat, Teams, Digital Workplace, callbot...

Connectors: Interface your tools and data sources

Synchronize Wikit Semantics with your data and tools (ITSM, HRIS, CRM...) thanks to an extensive library of connectors for seamless integration.

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.

Connect the platform to your tools and unleash the potential of your data

Discover all connectors

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

Benefit from a platform powered by the best AI models on the market.

Support

Move forward with peace of mind thanks to expert, personalized support.

"Wikit is a real pleasure to work with. There are no delivery delays or deployment worries. New features appear frequently and are always accompanied by a presentation by the team. Never stingy with advice, the team also takes our needs and requests into account. I would like to pay tribute to the availability and enthusiasm of the whole team. "

Elisa Jegou Project Manager

"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. "

Johanna DAMOUR Deputy Communications Director

"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."

Benoît Bonnefoy IT Support Manager

"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!"

Alexandra Colin Project Manager

"Very good support from our users. The Wikit team listens to our needs and is responsive. A tool to modernize our IT support and enable the IT department to be more efficient."

SMACL Assurances

"Simple, practical, efficient and relevant: our chatbot users have chosen the adjectives that best describe the Wikit agent!"

Normandy region

"The conversational agent implemented as part of the 2025 intra-academic movement has reduced telephone calls by almost 80% and e-mails by 50%. It improves user autonomy, while enabling our teams to concentrate on the most complex situations. This saves time and enhances quality, both for the service provided and for the work of our managers."

Rectorat de l'académie de Poitiers

"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."

Samse Group

"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!"

Romane LUTZ Communication Officer

Our latest resources

Replay - From chatbot to agent, explore the capabilities of Wikit Semantics

Discover the Wikit Semantics platform in action! Immerse yourself in Wikit's generative AI platform.

5 reasons to choose Wikit to create your AI chatbot

Find out why Wikit is the ideal solution for designing an AI chatbot: no-code, sovereignty, multi-IA, expert support...

Chatbot Generative AI: The guide to a successful project

Download our guide to a successful generative AI chatbot project: challenges, essential best practices and practical advice.

Request a demo

Find the answers to your questions

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.

Are you ready to harness the potential of AI?

Dive into the Wikit Semantics platform and discover the potential of generative AI for your organization!