Rebel AI Studio by Codemate
Build UIs from intent
Generate the right interface at the right moment — using your existing components, rules, and logic.
Modern applications should adapt to the user — not the other way around.
Rebel AI Studio uses GenUI (Generative UI) to assemble interfaces on the fly, based on what users are trying to do. Unlike black-box solutions, it gives your team full control over what's built, how it behaves, and why it appears.
What Rebel AI Studio does
Rebel AI Studio generates user interfaces in real time, based on what the user is trying to achieve. It interprets input — whether typed, spoken, or contextual — and assembles an interface using your approved components and logic.
See how it works
Client View / Generative UI
How Rebel AI Studio turns your approved components into a working, intent-driven UI in real time.
Prompt Editing & Component Insertion
A quick look at how prompts are refined and components are attached to intent — without touching frontend code.
Prompt Insights & Analysis
How teams track prompt performance and refine the system based on real usage data.
In short
Works with Flutter, React, Vue, and Web Components
Compatible with OpenAI, Gemini, and other leading LLMs
Runs within your own infrastructure
Includes admin panel for prompt and component management
Integrates with external data sources and APIs
Helps teams move faster from prototype to production
Why teams choose Rebel AI Studio
Speed up delivery
Reuse existing components to build interfaces faster than traditional development allows.
Stay in control
Decide what the system can do. Every action, component, and response is governed by your rules.
Keep things simple
Show only what is relevant. Reduce clutter by assembling the right interface for each moment.
Learn and improve
Use real interaction data to adjust interfaces, refine prompts, and improve outcomes over time.
Adapt to different users
Real-time interface adjustments based on user intent, role, and context.
Built-in security
Allow-listed actions and components ensure the system stays within defined boundaries.
Who is it for?
Service owners
Deliver personalised digital experiences without waiting for development cycles.
Product teams
Prototype and test new interface patterns based on real user intent.
Engineering teams
Reuse existing design systems and components in a generative framework.
Organizations
Reduce interface complexity across products while maintaining full control.
Examples of use cases
Customer self-service
Generate contextual interfaces for support, onboarding, and account management — reducing manual effort and support load.
Internal tools
Build adaptive dashboards and workflows for operations, HR, and finance teams — without separate UI projects for each.
Multi-product platforms
Unify the interface layer across multiple products, letting users navigate by intent rather than menu structure.
AI agent orchestration
Manage and monitor AI agents through the same framework, with full visibility into what each agent does and why.
Request a live demo
Fill in the form, and we'll get back to you with suggested times for a 25-minute live demo.
What is GenUI?
GenUI (Generative UI) generates interfaces on the fly based on user intent. Instead of building static screens, the system assembles the right components in real time.
Does Rebel AI Studio replace our frontend?
No. It uses your existing design system and components. Think of it as a layer that decides which components to show, when, and why.
Can we control what the AI can do?
Yes. Guardrails, policies, and audit trails ensure safe behaviour. Every action and component is allow-listed by your team.
Which AI models are supported?
OpenAI, Google Gemini, and other leading LLMs. The platform is model-agnostic.
How do we measure impact?
Built-in analytics show intent patterns, component usage, and drop-off points — so you can continuously refine the experience.
Can this control AI agents too?
Yes. Rebel AI Studio can manage and monitor AI agents in the same framework, with full visibility into decisions.
Do I need to use AI for everything?
No. AI interprets intent, but the components themselves remain traditional, well-tested code from your design system.