We build autonomous agents that work on your infrastructure — and only your infrastructure.
Secure, locally-hosted agentic AI
- Autonomous coding agents: Agents that accelerate engineering workflows on open-weight models.
- Data stays in-house: No code sent off-site — models and agents run in your environment.
- Tool & API integration: Agents wired to your repos, CI, internal systems, and documentation.
- Guardrails: Permissions, audit trails, and human-in-the-loop controls for every action.
What agentic AI can do for your team
- Draft and review pull requests — context-aware code generation and review against your standards.
- Automate repetitive engineering and operations tasks — deployments, migrations, incident response, documentation updates.
- Answer questions grounded in your codebase and documentation — not generic training data.
- Refactor and modernize — guided by your architecture decisions and patterns.
Architecture we build
- Model layer — Open-weight LLMs (Llama, Qwen, Mistral) served via vLLM on your GPUs.
- Agent framework — Tool-calling, planning, and memory layers (LangGraph, custom, or lightweight orchestration).
- Integration layer — Git (GitHub/GitLab/Bitbucket), CI (GitHub Actions/GitLab CI/Jenkins), ticketing (Jira/Linear), docs (Confluence/Notion).
- Control plane — RBAC, audit logging, approval workflows, and cost tracking per agent run.
Why local agents?
- IP protection: Your codebase never leaves your network.
- Compliance: Meets GDPR, EU AI Act, and sector-specific data residency requirements.
- Customization: Fine-tune on your private code, patterns, and conventions.
- Cost predictability: Fixed GPU cost vs. per-token/per-seat SaaS pricing.
Want to explore agentic AI?
We design, build, and operate agentic systems. Talk to an engineer.