Build AI-powered apps with AI speed & no-code control
Give your team the power to build. Let people closest to the problem create secure, role-aware AI tools and automations they need. From AI-native CRMs and ERPs to inventory apps and portals, all without waiting on IT.
Trusted by Fortune 500 companies
Start with high-impatc use cases
Always keep human judgment in the loop.
Ship your first AI app in four steps
From there, make ongoing improvements based on your team's feedback.




" Adopting WeWeb has revolutionized how we approach application development. It’s not just about speed; it’s about empowering our teams to deliver more innovative, secure, and compliant solutions faster and more effectively than ever before "
Digital Project Manager @ PwC

Make AI a natural part of your team's existing workflows
So they're not ChatGPT-ing through every task in another tab.





" We knew this project would require a top-tier tool (like WeWeb) to handle the scale of a nationwide broadcast and meet TF1’s strict requirements. They wanted full control over hosting and infrastructure, with no dependency on proprietary platform servers."
Founder @ Shunpo




Add AI capabilities without giving up data privacy
Built-in safeguards protect the data and credentials behind every AI request.
Zero data retention
No training on your data
API keys stay server-side
Built to scale with your needs
The standards of code, with no-code.
Ready to start? Pick a template
Customize it for your team, then add AI to the workflows where it helps most.
" It used to take a frontend developer, a backend developer, and a project manager. With WeWeb, I can build a new feature in about 90 minutes. I just get it done between meetings. "
Co-Founder & CTO @ Curated Capital

Frequently asked questions
The app assembles the right context, sends it to a model, and does something with the response: displays it, saves it, routes it, or triggers the next step.
In WeWeb, that lives in a visual workflow, where the model call is one action alongside your database queries and API calls.
The strongest ideas cluster in three places: work where someone reads something and writes a response (support replies, contract review), work where someone moves information between systems (pulling invoice fields into a database), and work where someone searches and keyword search keeps missing.
Pick the task that happens most often, build the app around that single job, then layer on more AI actions as you learn what your users want the AI to handle.
They share a shape, which is a user with a question and an app that already holds the answer.
In WeWeb, you connect your data (WeWeb Tables, Supabase, Xano, or any REST API), add a Text Generation action to a workflow and pass that data into the prompt, then build the chat interface visually with native elements.
If the chatbot needs to answer from a knowledge base, add the Embed Text action so it retrieves the most relevant passages before it responds.










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