Online hosted AIs, such as ChatGPT and Claude, are extremely powerful, but they come with extreme trade-offs: your data leaves your environment, your costs scale with usage, and critical workflows depend on someone else’s infrastructure. For some teams that’s acceptable. For many others, it isn’t.
We build local AI systems that run on hardware you control: model hosting, private knowledge retrieval, agent workflows, and automation. Your data stays yours, your costs become hardware rather than usage, and your AI becomes infrastructure instead of a subscription. The end user feels no difference.
What we ship
Local AI infrastructure (Ollama, vLLM, llama.cpp, Open WebUI, GPU clusters) sized for your actual workload instead of benchmark demos
Agent orchestration with audit logs, approval checkpoints, permissions, & guardrails that keep agents productive, focused, and reliable
Private RAG over your documents, tickets, policies, knowledge bases, and repositories without the source material being exposed
AI-powered workflow automation that integrates directly with your existing tools, databases, and business processes for easy upgrades
Why it’s important
Today’s AI conversations focus on whichever model was just released.
Tomorrow’s conversation will focus on data ownership and access.
The competitive advantage isn’t having access to AI anymore; it’s building systems around it that are private, reliable, cost-effective, and tailored to how your organization actually works.
70%
of organizations are expected to use AI in a core function
100%
control over where your data is stored and processed
$0
per-token spend on local LLMs, and your data stays yours
Typical wins
Private AI assistants trained on company knowledge without exposing that knowledge
Agent pipelines that perform real business work with audit logs and human-review checkpoints
AI-powered search across policies, tickets, contracts, documentation, and internal systems
AI systems that remain operational - unlike hosted providers with outages & policy changes
Cost predictability through owned infrastructure rather than per-token billing
Clear governance around who can use AI, what data it accesses, and how outputs are reviewed
Who it’s for
If AI is becoming important to your business but you’re uncomfortable handing your data, costs, and operational dependencies to a third party, this is for you. We work best with:
Healthcare, finance, legal, and regulated organizations that cannot freely share sensitive data
Engineering teams whose source code, proprietary, and internal processes are core business assets
Organizations building internal copilots, knowledge assistants, and automation agents for employees
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