Global Financial Institution
Zero
Data Leakage
40%
Velocity Increase
800+
Developers
100%
On-Premise
AI & Automation · Custom AI IDE
Your own AI coding assistant. White-labeled. Source code included.
We build private, enterprise-grade AI IDEs — like Cursor or GitHub Copilot — that run on your infrastructure, integrate with self-hosted LLMs, and ship with the complete source code. Track developer productivity, enforce organizational best practices, and guarantee zero data leakage.
Custom AI IDE development
White-labeled coding assistant
Self-hosted LLM integration
Developer productivity analytics
Organizational best practices enforcement
Enterprise codebase RAG & context engine
Zero
Data leakage
Self-hosted LLMs — your code never leaves your servers.
360°
Visibility
Track every developer's usage, prompt quality, productivity & code standards from one dashboard.
Own
The entire source code
White-label the IDE, customize freely — no vendor lock-in.
$0
Per-seat licensing
One-time delivery. No recurring SaaS fees, ever.
Why MetaDesign
Why build a custom AI IDE?
Public tools like Copilot and Cursor send your proprietary code to third-party servers. We build private alternatives that run on your infrastructure.
Teams shipping with MetaDesign
Selected work
Case studies.
Software Consulting Firm
3x
Faster Onboarding
30%
Less Duplication
500+
Developers
10M+
Lines Indexed
Live Demo
See It in Action
Watch our custom AI IDE generate code, execute terminal commands, and refactor across an entire codebase — running fully on private infrastructure with zero data leaving your network.
CODE.
REVIEW.
DEPLOY.
TRACK.
Enterprise Engineering Teams
Large organizations that cannot use public AI tools due to IP protection policies or data residency requirements. Get all the power of Cursor/Copilot with zero data leakage.
Software Consulting Firms
White-label our AI IDE under your own brand and offer it to your clients as a value-added product — a new revenue stream with zero R&D investment.
Regulated Industries
Financial services, healthcare, defense, and government agencies where code and data must never leave your network perimeter.
Engineering Managers
Track developer adoption, measure AI-assisted productivity, analyze prompt quality, and enforce coding standards across the entire engineering floor.
Training & Onboarding
Accelerate new developer onboarding by embedding organizational coding standards, architectural patterns, and internal documentation directly into the AI assistant.
Air-Gapped Environments
Deploy the entire AI IDE stack — including inference — inside air-gapped networks with no internet dependency.
Our Approach
Custom AI IDE: Our Proven Process
01
Requirements & Model Selection
We assess your security requirements, preferred LLM models (cloud vs. self-hosted), and the codebase languages your team works with.
02
Core Platform Setup
Deploy our battle-tested AI IDE codebase on your infrastructure — VS Code extension, terminal integration, and agent capabilities.
03
Codebase RAG Engine
Index your entire monorepo into a vector database for deep contextual code generation that understands your specific architecture.
04
Analytics & Governance
Configure the enterprise dashboard — user tracking, prompt quality scoring, productivity metrics, and organizational coding rules.
05
White-Label & Handoff
Brand the product under your identity, deliver full source code, and train your team on maintenance and customization.
01
Requirements & Model Selection
We assess your security requirements, preferred LLM models (cloud vs. self-hosted), and the codebase languages your team works with.
02
Core Platform Setup
Deploy our battle-tested AI IDE codebase on your infrastructure — VS Code extension, terminal integration, and agent capabilities.
03
Codebase RAG Engine
Index your entire monorepo into a vector database for deep contextual code generation that understands your specific architecture.
04
Analytics & Governance
Configure the enterprise dashboard — user tracking, prompt quality scoring, productivity metrics, and organizational coding rules.
05
White-Label & Handoff
Brand the product under your identity, deliver full source code, and train your team on maintenance and customization.
Customer value
Why enterprises trust us with their AI.
Real outcomes our clients report within the first engagement cycle.
Higher automation rates
Eliminate repetitive tasks and free your team to focus on strategic work.
Measurable accuracy
AI models with tracked precision, recall, and F1 scores — not guesswork.
Faster decision-making
Real-time insights and predictions that accelerate business decisions.
Reduced operational cost
Automation that pays for itself within the first quarter.
Production-grade reliability
Guardrails, monitoring, and fallback logic built into every AI system.
Knowledge transfer
Your team learns to maintain and extend AI systems independently.
By the numbers
400+
Engineers worldwide
200+
Active clients
20yr
Pure-play software
94%
Client retention
ENGAGEMENT MODELS
Three ways to build your Custom AI IDE with our team.
Deliver internal, secure developer tools and AI code assistants with complete source code ownership, private model routing, and SOC 2 compliance.
MOST POPULAR
AI IDE Engineering Squad
Specialized VS Code fork and JetBrains plugin engineers building bespoke developer assistants with local LLM serving, AST parsing, and corporate guardrails.
- VS Code & JetBrains forks
- Local & private LLM routing
- Enterprise telemetry & controls
- Custom codebase RAG & indexing
EMBED
Hire AI Tooling Developers
Senior systems and language tooling engineers to accelerate your internal developer platform (IDP) and build proprietary developer workflows.
- TypeScript, Rust & C++ experts
- LSP & Tree-sitter integration
- Embed into internal tooling sprints
- Flexible monthly contracts
LAUNCH
Custom IDE MVP Build
From architecture to working enterprise-ready IDE distribution in 8–12 weeks. Fully branded, self-hosted, and compliant with zero cloud code leaks.
- Turnkey IDE distribution
- 100% private code isolation
- Fixed-price milestone delivery
- Full source code & IP handover
FAQ
Asked first, every time.
Don't see yours here? Send us the question — a principal engineer will reply within 24 hours.
Yes. We deliver the complete, unobfuscated source code. You own it entirely — no recurring SaaS fees, no vendor lock-in. Your team can customize, extend, and maintain it independently.
Absolutely. We integrate with any model you choose — Llama 3, DeepSeek, Mistral, CodeLlama via Ollama, vLLM, or TGI. For teams using cloud models, we support Azure OpenAI, AWS Bedrock, and direct OpenAI endpoints with your own API keys.
With public tools, your proprietary code is processed on third-party servers. Our solution runs entirely on your infrastructure — your data never leaves your network. Plus, you get full source code ownership, white-labeling, enterprise analytics, and the ability to integrate with internal tools and self-hosted models.
The enterprise analytics dashboard tracks per-developer usage, token consumption, prompt quality scores, code acceptance rates, and time-to-completion metrics. Engineering managers get a clear picture of AI-assisted productivity gains and ROI.
Yes. We explicitly support white-labeling. You can rebrand the entire product — UI, documentation, and onboarding — under your company identity and distribute it to your clients as a value-added offering.
We deliver a working proof-of-concept within 2 weeks. Full production deployment with codebase RAG indexing, analytics dashboard, and white-labeling typically takes 6–8 weeks.
Yes. Our AI IDE includes full agentic capabilities — the assistant can read files, execute terminal commands, run tests, create pull requests, and interact with internal APIs, similar to Cursor Agent or Antigravity.
Yes. We embed your internal coding guidelines, architectural patterns, linting rules, and security policies directly into the AI agent's system prompt and RAG context. The assistant generates code that follows your standards by default.
Build your private AI IDE in weeks, not years.
Tell us about your project. We'll come back with a plan, a timeline, and the right team — no obligations.