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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.
Trusted by enterprises worldwideCMMi Level 3ISO 27001SOC 220+ Years
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.

01

Self-Hosted LLM Integration

Connect to your own locally hosted models (Llama 3, DeepSeek, Mistral, CodeLlama) or private OpenAI/Azure endpoints — ensuring full data privacy and regulatory compliance.

02

Enterprise Analytics Dashboard

Track usage per developer, monitor prompt quality, measure productivity gains across the organization, and calculate ROI — all from a single admin panel.

03

White-Labeled & Source Code Included

We deliver the complete source code and white-label the product under your brand. No vendor lock-in, no recurring SaaS fees — you own it entirely.

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.

Custom AI IDE — Private Instance

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

Five stages, paired end-to-end.

Predictable delivery. No black-box sprints.

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.

Technology

Tools our custom ai ide developers ship with.

We use what works. No vendor lock-in.

VS Code APILanguage Server Protocol (LSP)Tree-sitterMonaco EditorOpenAIAzure OpenAILlama 3DeepSeekMistralCodeLlamaOllamaLangChainLlamaIndexPineconeWeaviateChromaDBpgvectorPythonTypeScriptNode.jsFastAPIWebSocketsDockerKubernetesAWSAzureGCPOn-Premise
By the numbers
400+
Engineers worldwide
200+
Active clients
20yr
Pure-play software
94%
Client retention
Engagement models

Three ways to work with our Custom AI IDE team.

Scale up, scale down — zero procurement headaches.

Fixed-scope project

Start-to-finish delivery with total cost, timeline, and scope agreed upfront. Best for well-defined builds and launches.

BEST FORNew product launches

Dedicated team

A ring-fenced squad — PM, tech lead, engineers, QA — fully managed by us, embedded in your workflow.

BEST FORLong-running platforms

Staff augmentation

Plug senior engineers into your existing team and tools. You manage priorities, we deliver results.

BEST FORCapacity gaps & sprints
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.

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