Keep sensitive data safe from public AI
A private AI layer across your inbox, meetings, and documents, running inside your own environment. No client data ever sent to OpenAI, Anthropic, or Google.
Hi Alex — sending the redlined SPA back. Two items still outstanding: the indemnity cap (we're holding at 2×) and the Schedule 3 carve-outs.
Can you confirm on the cap today so we can circulate v4.3 to Morrison & Lee before Friday?
— Priya
Priya — we're aligned on 2× subject to the Schedule 3 carve-outs.
Free at 3pm to walk through it?
You can't adopt AI on a stack that your regulator already rejected.
Your team is already living the contradiction. The whole industry is racing to adopt AI, but the tools everyone is talking about can't legally touch your client data. ChatGPT, Copilot, Gemini: restricted, banned, or "use at your own risk."
So people use them anyway. Pasted into a personal account, on a phone, from home. You don't see it. You can't audit it. Shadow AI is already in your firm. You just don't have visibility into it.
The CIO has the mandate. Risk and Compliance keep saying no. And nothing ships, because public AI was never built for environments like yours.
Private by architecture. Not by promise.
AUGMTD deploys inside your AWS, Azure, or on-prem environment. Containerised RAG, open-source or Bedrock-hosted models, your keys, your logs. No client data ever leaves your boundary to reach a third-party AI provider.
- Runs in your VPC or on-prem. Single-tenant. No shared inference.
- Your models, your keys. No data used to train anyone's model. Ever.
- SSO, role-based access, full audit log on every query and retrieval.
- EU data residency. DPA on day one. GDPR + DORA-aware design.
Your models · your keys
One AI layer. Inside your perimeter.
Inbox, calendar, meetings, documents, chat, connected into one private workspace. Running in your environment, on your models, under your audit.
Hi Alex — sending the redlined SPA back. Two items still outstanding: the indemnity cap (we're holding at 2×) and the Schedule 3 carve-outs.
Can you confirm on the cap today so we can circulate v4.3 to Morrison & Lee before Friday?
— Priya
Priya — we're aligned on 2× subject to the Schedule 3 carve-outs.
Free at 3pm to walk through it?
Triage client email without leaving your tenant.
Email classified, summarised, and drafted in your voice. All processed inside your environment. Sensitive threads never get sent to a third-party AI provider, ever.
Audit trail on every classification and draft.
A private intelligence layer your regulator can defend.
Every query logged. Every retrieval traceable. Every model call inside your boundary. When the auditor asks where a decision came from, you can show them.
Over time, this gives leadership something they've never had: visibility into how AI is actually being used across the firm: by team, by case type, by client, without sacrificing the controls that let you operate in the first place.
A complete picture of AI adoption, built from real work. Defensible. Auditable. Yours.
Pilot it on your real data. In your environment.
A 3-month paid pilot, deployed inside your AWS, Azure, or on-prem stack. Signed DPA before kickoff. No client data leaves your boundary. Not in the pilot, not after.
Built for banking, insurance, telecom, public sector, and regulated financial services.