The power of Claude & GPT — but your code and your sensitive data stay yours. Built for the people who can't just hand their most important material to a public AI.
Everyone uses ChatGPT and Claude today. But there's a whole group of people who simply can't — not because they don't want to, but because their most valuable material isn't allowed to leave their machine.
A developer has proprietary code, keys, a client's infrastructure. A lawyer, accountant, HR or healthcare professional has regulated personal data (GDPR). Paste a contract full of names, national IDs and IBANs into a US AI service and you've broken the rules and risked a fine. So they either avoid AI on the work that matters — or take a quiet risk.
The big players can't easily fix this — their whole model is "send us everything, we process it in our cloud." And we're not trying to out-model them; we use the same Claude and GPT anyone can.
We don't sell intelligence. We sell control and confidentiality — the AI you can use on what you can't paste into ChatGPT.
That's a space the giants leave wide open, because closing it would work against how they're built.
GrgCode runs on your own machine. It reads, writes and runs your code — but file writes and commands need your approval, with a diff before every change. Your codebase stays local; only what the model actually needs is sent. Control, not "I handed everything to the cloud."
Turn on a private agent and Grg AI redacts the sensitive data in what you type — names, emails, national IDs, IBANs, cards, secrets — on your device, before anything is sent. The model works on placeholders; your real values are restored only on your screen.
The common thread: both have something they can't leak — and Grg AI is the one that gives them AI without forcing them to hand it over.
We're not "smarter than Claude" — we use the same frontier models everyone has. Our edge is control and confidentiality, not a better brain.
Today, requests are still processed by model providers (our sub-processors); on-device redaction is the safeguard, which is exactly why step 2 — private models on your own servers — matters for the strictest clients.
Name redaction is best-effort (a dictionary plus smart rules), not a perfect model. We'd rather over-redact than leak.