AI coding infrastructure that never sends your code outside
An enterprise AI coding platform your security team will actually approve. LLM gateway, codebase intelligence, AI code audit server, and custom skills — all deployed inside your own infrastructure. Your source code stays in your network.
Four components. One enterprise coding platform.
Each component solves a specific gap in enterprise AI coding. Deploy all four or start with the one that unblocks your team first.
LLM Gateway
A self-hosted API gateway that proxies all LLM requests from your engineering tools — routing, rate-limiting, cost tracking, and access control across every model your team uses.
Codebase Intelligence
Semantic search and AI-powered understanding across your entire codebase. Ask questions about how systems work, find usages, trace call chains — a Sourcebot alternative built for enterprise scale.
AI Code Audit Server
Automated AI-powered code review that runs in your CI/CD pipeline. Catches security vulnerabilities, logic errors, dependency risks, and style violations using Codex, Claude, or your own model.
Custom Coding Skills
Extend your AI coding assistant with domain-specific skills — your internal API patterns, migration playbooks, security rules, and architecture constraints baked into every suggestion.
Usage & Cost Intelligence
Track every LLM request by team, project, and engineer. Understand AI ROI, catch runaway costs, and enforce per-team quotas — all from the gateway dashboard.
IDE & CLI Integration
Works with VS Code, JetBrains, Neovim, and the CLI. Engineers keep using the tools they know — the platform runs silently behind your existing workflow.
How the platform is built
Four self-contained layers that stack together into a complete enterprise AI coding platform — deployed inside your infrastructure from day one.
LLM Gateway & Request Routing
All LLM traffic from your IDE plugins, CI pipelines, and internal tools routes through a single self-hosted gateway. Route requests to different models based on task type, cost, or team policy — with full logging of every request, token count, and response.
Codebase Intelligence Engine
Indexes your entire codebase with code-aware embeddings. Engineers can ask “how does the payment flow work?” or “where is this interface implemented?” and get accurate, cited answers — plus semantic code search across millions of lines.
AI Code Audit & Custom Skills
An LLM-powered audit server that runs in your CI/CD pipeline. Integrates with GitHub Actions, GitLab CI, and Jenkins. Custom skills encode your team’s architecture decisions, security rules, and domain patterns — so every pull request gets reviewed against your actual standards.
Built for teams where code cannot leave the building
Financial services, defence contractors, healthcare platforms, and IP-sensitive companies — if your security policy says no external AI for code, this is your answer.
On-Premise Deployment
Every component runs on your own hardware or private data centre. No internet egress required during normal operation.
Private Cloud (Your Account)
Deploy inside your own AWS, Azure, or GCP account with VPC isolation. No cross-tenant data access. You own the infrastructure.
Air-Gapped Mode
Runs fully offline with locally hosted models (Llama, Mistral, CodeLlama) for environments with no external network access.
All Requests Logged Locally
Every LLM request, code snippet, and response is logged in your environment. Full audit trail for compliance and security review teams.
Secrets & PII Filtering
Automatic scanning and redaction of secrets, API keys, and PII before any content reaches the LLM layer — even in self-hosted deployments.
RBAC & Quota Management
Per-team and per-engineer access policies. Set token quotas, restrict model access, and enforce code scope boundaries by repository.
On-Premise
Your servers, fully offline
Private Cloud
Your VPC, your account
Air-Gapped
Local models, no internet
Hybrid
Local gateway, cloud models
| LLM Gateway Protocol | OpenAI-compatible REST API — drop-in replacement for existing tooling |
| Supported LLMs | GPT-4, Claude, Llama 3, Mistral, CodeLlama, DeepSeek Coder, BYO model |
| IDE Support | VS Code, JetBrains (IntelliJ, PyCharm, GoLand), Neovim, CLI |
| SCM Integration | GitHub, GitLab, Bitbucket, Azure DevOps |
| CI/CD Integration | GitHub Actions, GitLab CI, Jenkins, CircleCI, custom webhooks |
| Codebase Index Scale | Tested to 50M+ lines of code across multi-repo monorepos |
| Audit Output Format | SARIF, JSON, GitHub/GitLab native annotations |
| Deployment Time | Gateway live in 1 week; full platform in 30 days |
Why enterprises choose Origins over Copilot and Sourcebot
GitHub Copilot and Cursor are great developer tools — but they send your code to Microsoft’s or Anthropic’s servers. Origins keeps everything inside your firewall.
| Capability | Origins Coding Tool | GitHub Copilot | Sourcebot | Cursor |
|---|---|---|---|---|
| Fully on-premise deployment | ✓ | ✗ | PARTIAL | ✗ |
| Code never sent externally | ✓ | ✗ | ✓ | ✗ |
| LLM gateway with routing | ✓ | ✗ | ✗ | ✗ |
| AI code audit in CI/CD | ✓ | LIMITED | ✗ | ✗ |
| Codebase Q&A / semantic search | ✓ | LIMITED | ✓ | ✓ |
| Custom domain skills | ✓ | ✗ | ✗ | ✗ |
| BYO / local model support | ✓ | ✗ | PARTIAL | LIMITED |
| Per-team usage & cost tracking | ✓ | BASIC | ✗ | ✗ |
Built by engineers who’ve shipped AI at Amazon, Sony, and Samsung
We built this because we faced the same problem — great AI coding tools that security would never approve. So we built the enterprise version.
Security Approved
Self-hosted, air-gap capable, with full audit trails. Passes enterprise security review without carve-outs or exceptions.
One Gateway, All Models
Route to GPT-4, Claude, Llama, or CodeLlama from one interface. Switch models without changing a line of tooling config.
Knows Your Codebase
Semantic search and AI Q&A trained on your specific repositories — not generic open-source knowledge.
Encodes Your Standards
Custom skills capture your architecture patterns, security rules, and migration playbooks — so AI suggestions match how your team actually builds.
Measurable ROI
Track time saved per engineer, PR cycle reduction, and audit catch rate — so you can prove the value to engineering leadership.
Gateway Live in 1 Week
The LLM gateway can be live and routing traffic from your IDE plugins within a week. Full platform in 30 days.
Ready to deploy AI coding tools your security team approves?
Book a 45-minute technical demo. We’ll walk through the architecture, show you a live deployment, and scope a 30-day pilot starting with the LLM gateway.
Frequently Asked Questions
What AI services does Origins AI offer for enterprises?
Origins AI provides end-to-end AI-driven solutions, including AI strategy consulting, data engineering, machine learning model development, AI agent deployment, and digital transformation services. We work with enterprises to modernize operations, enhance decision-making, and unlock new revenue opportunities.
Are your AI solutions compliant with industry regulations like ISO, SOC 2, or GDPR?
Yes. We follow globally recognized standards such as ISO 27001, SOC 2, and GDPR guidelines. Our solutions are designed with built-in compliance measures to ensure data privacy, security, and regulatory alignment for industries like healthcare, finance, and e-commerce.
How does Origins AI integrate AI into existing enterprise systems?
We specialize in integrating AI solutions into both modern cloud-based platforms and legacy systems. Using APIs, middleware, and custom connectors, our team ensures minimal disruption while enabling advanced analytics, automation, and real-time insights within your current infrastructure.
What engagement models do you offer for long-term or ad hoc AI needs?
We offer flexible engagement models, including dedicated AI teams, project-based contracts, time-and-materials agreements, and build-operate-transfer (BOT) partnerships. This allows enterprises to choose the most cost-effective and scalable option for their needs.
Do you provide fixed-cost or milestone-based pricing?
Yes. Depending on project scope and requirements, we can work on fixed-cost, milestone-based, or subscription-based pricing models, ensuring transparency and predictable budgets.
What industries benefit most from your AI solutions?
We serve industries including healthcare, fintech, retail, logistics, manufacturing, travel, and telecom. Our domain-specific AI models and expertise allow us to tailor solutions that solve sector-specific challenges and deliver measurable ROI.
Do you provide AI education and consultancy for internal teams?
Absolutely. We offer enterprise AI training programs, workshops, and consulting services to help upskill your teams in AI strategy, data science, and AI product deployment, ensuring sustainable AI adoption.
What frameworks and technologies do you use to speed up delivery?
We leverage modern AI and development frameworks such as TensorFlow, PyTorch, LangChain, MLOps pipelines, and container orchestration tools like Kubernetes. Our use of pre-built AI agents and modular architectures accelerates deployment timelines without compromising quality.
How do you ensure data security in your AI solutions?
We use advanced encryption (both at rest and in transit), secure authentication protocols, and continuous security monitoring. All data handling adheres to the principle of least privilege, ensuring maximum protection against unauthorized access.