BUILD AI

Meet Studio

No-Code to Pro-Code. One Platform.

Three ways to build AI agents and apps. Visual builder for business users. JupyterLab and VS Code for data scientists. Distributed computing with Spark, Dask, and Ray. All publish to ACE Co-pilot with one click.

3
Ways to Build
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IDEs Included
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App Frameworks
1-Click
Publish to ACE Co-pilot
studio.yourcompany.com
Katonic Studio interface showing workspace creation with JupyterLab VS Code RStudio and distributed computing options

Building Enterprise AI Is Too Hard

Data scientists build prototypes that never ship. Developers wait months for infrastructure. Business users can't build anything at all.

Months to Deploy

Data scientists build notebooks that work locally but take 6+ months to reach production. By then, requirements have changed.

Tool Sprawl

Jupyter here, VS Code there, deployment tools everywhere. Teams waste time switching between disconnected systems.

Business Users Excluded

Domain experts have the knowledge but not the coding skills. They depend on IT for every request:and IT is backlogged.

Security Nightmares

Developers use personal laptops and public cloud IDEs. Sensitive data ends up everywhere except where it's supposed to be.

Three Ways to Build.

From visual workflows to full code:pick the path that fits your team and project.

No-Code

Visual Builder

Follow guided steps to build agents. Configure each stage through the UI:no code required.

Step-by-step guided workflow
Configure logic at each stage
Pre-built templates to start fast
Best for: Developers who prefer visual tools
Coming Soon
AI-Powered

Conversational Builder

Business describes the process in plain English. AI generates the agent. Developers refine together.

Natural language agent creation
AI captures edge cases via chat
Real-time collaboration
Best for: Business + Developers together
Pro-Code

Full IDEs

JupyterLab, VS Code, RStudio with GPU access, pre-installed frameworks, and direct deployment.

GPU-powered workspaces
All ML frameworks included
Git integration & CI/CD
Best for: Data Scientists & ML Engineers

Domain Knowledge Meets Technical Skill

The best agents are built when business experts and developers work together. With the upcoming Conversational Builder, domain experts describe the process in plain English while AI generates production-ready code:catching edge cases before they hit production.

Business Expert
+
Developer
=
Production Agent

Your Favourite IDEs. Supercharged.

Launch GPU-powered workspaces in seconds. All your frameworks pre-installed. All your data accessible.

JupyterLab

Interactive notebooks with GPU access and real-time collaboration

VS Code

Full IDE with extensions, debugging, and terminal access

RStudio

Statistical computing and visualisation for data analysts

Jupyter Notebook

Classic notebooks with all major ML libraries pre-loaded

Distributed Computing

Scale to Clusters with One Click

Attach distributed compute frameworks to any workspace. Process massive datasets across multiple nodes without infrastructure headaches.

Apache Spark Large-scale data processing
Ray Scalable ML/AI workloads
Dask Parallel Python computing

From Notebook to Production in Seconds

No more waiting for DevOps. Deploy your models and applications directly from your IDE with one click.

One-Click Deploy

Everything Else You Need

Storage, scheduling, and instant access to the open source tools your team already uses.

Data Storage

Centralized file storage for your AI projects. Create private or shared storage, organize with folders, and attach directly to workspaces and deployments.

Private & shared access Group permissions Attach to workspaces

Job Manager

Schedule and automate your AI workflows with CRON jobs. Monitor execution, view logs, and track performance metrics:all from one dashboard.

CRON scheduling Execution logs Performance metrics

App Store

One-click access to popular open source tools. Deploy MLFlow, TensorFlow, N8N, and more:pre-configured and ready to use on your infrastructure.

Pre-configured tools One-click deploy Your infrastructure

Available in App Store

MLFlow
TensorFlow
N8N
LightGBM
PaddlePaddle
TSFresh
More

Build Any AI Application

From interactive dashboards to production APIs. Deploy with the framework you already know.

Streamlit

Turn Python scripts into interactive web apps in minutes. Perfect for data visualisation and prototypes.

Gradio

Create beautiful ML demos and interfaces. Ideal for showcasing models to stakeholders.

Dash

Build analytical dashboards with Python. Enterprise-ready data applications.

FastAPI

Production-ready APIs with automatic documentation. High-performance model serving.

Flask

Lightweight web applications and microservices. Simple, flexible, powerful.

React + Node

Full-stack web applications with modern JavaScript. Custom frontends for AI.

Build on Open Standards. Own Your Code.

Use the leading agentic AI frameworks. Every agent you build generates clean, downloadable code:no proprietary lock-in, ever.

CrewAI

Orchestrate role-playing AI agents that collaborate to solve complex tasks.

LangChain

Build LLM-powered apps with chains, agents, and retrieval-augmented generation.

AutoGen

Multi-agent conversations with human-in-the-loop for complex workflows.

Google ADK

Google's Agent Development Kit for building production-grade AI agents.

LangGraph

Build stateful, multi-actor applications with cycles and controllability.

Semantic Kernel

Microsoft's SDK for integrating LLMs into enterprise applications.

Your Code. Your IP. No Lock-in.

Every agent built in Studio generates clean, open-source code. Download it anytime. Run it anywhere. We believe you should own what you build:not rent it.

Download full source code
Built on open frameworks
Run on any infrastructure
Zero vendor dependency

Build Once. Available Everywhere.

When you build something in Studio, it's instantly available in ACE Co-pilot for everyone in your organization to use. No deployment tickets. No IT delays.

One-click publish from any IDE
Automatic versioning and rollback
Role-based access control
Real-time usage analytics
Learn About ACE Co-pilot →
Studio Build
ACE Co-pilot Use

Built for Enterprise Development

Everything your development team needs to build AI at scale:securely.

Resource Allocation

Assign CPU, GPU, and memory quotas by user, team, or project. No more resource contention.

Git Integration

Connect to GitHub, GitLab, or Bitbucket. Branch-based development with full version control.

Real-Time Collaboration

Multiple users editing notebooks simultaneously with conflict resolution and commenting.

Shared Storage

Centralized storage for datasets, models, and libraries. Accessible from any workspace.

Secure by Default

All development happens on your infrastructure. Code and data never leave your environment.

Usage Analytics

Track compute usage, costs, and productivity metrics by team, project, or individual.

From Idea to Production in 4 Steps

Studio streamlines the entire AI development lifecycle.

1

Launch Workspace

Spin up a GPU-powered IDE in seconds. All frameworks pre-installed and ready.

2

Build & Experiment

Develop models, agents, or applications. Connect to your enterprise data sources.

3

Test & Iterate

Run experiments, compare results, and refine. Full version control throughout.

4

Publish to ACE Co-pilot

Deploy with one click. Available to your entire organization immediately.

Ready to Build?

See how Studio accelerates your AI development while keeping everything on your infrastructure.