Private AI, built for your perimeter.
Real AI capability for organizations that can't send their data to the cloud. Private by design, hybrid when it helps, and yours to own.
Real AI shouldn't mean handing over your data.
Most AI tools assume your data can move to someone else's cloud. For regulated operations, sensitive IP, and PHI, that assumption is a non-starter. So the work either stalls, or it quietly moves into consumer tools that no one is governing.
What private AI removesYou get the capability without the tradeoff: real models, working on your data, inside your walls.
Privacy is a spectrum you own end to end.
Not every workload needs the same posture. We help you place each one where it belongs, private, hybrid, or external, and move it as your needs change.
Air-gapped.
For regulated PHI, financial, or classified-IP workflows. Nothing leaves your perimeter.
Private + governed cloud.
Sensitive context stays on private models; specific, minimized, logged calls go to an external model only where it adds value.
Cloud-assisted, governed.
When the workload allows, with policy and logging. No lock-in; swap models as the frontier moves.
What private AI looks like in your environment.
Not a chatbot bolted onto your intranet. Working agents, deployed against your systems and your data.
Answers from your own sources.
Question-answering over your policies, SOPs, contracts, and knowledge base. Cited, and drawn only from your systems, never the open web.
Read, extract, classify, draft.
Turn long documents, forms, and inboxes into structured output: extract fields, flag exceptions, and draft responses, with people on the edge cases.
Embedded where work happens.
AI inside finance, claims, procurement, and service workflows, acting on your operational data and handing off to your team on exceptions.
Grounded in your data only.
Retrieval that draws strictly from your own repositories, with role-based access and output guardrails, so answers stay accurate and in-bounds.
Capability you control, end to end.
You own what we build.
The models, pipelines, prompts, and logs live in your environment and stay yours. A clean exit, and a clean diligence story.
Model-agnostic.
No vendor or model lock-in. Swap models as the frontier moves; your workflows don't care which one runs underneath.
Predictable cost.
Deployed inside your environment, with predictable cost. No per-query or per-seat API metering as usage grows.
Audit-ready by design.
Every prompt and output is logged on your systems, with role-based access. Simplifies SOC-2 and vendor-security reviews.
Run real AI inside your environment.
WCG's Private AI solutions run on-prem, in your private cloud, or fully air-gapped. Explore the deployed agents, or talk through the architecture that fits your environment.
Building a first workflow? Discuss a 5-week Sprint →