01 / Closed loop
Data stays inside your perimeter.
Embedry is deployed on your hardware or your private cloud. Documents, embeddings, and queries never leave your network. GDPR is satisfied by architecture, not by a clause in a contract.
YOUR INFRASTRUCTURE
PDF
DOCX
XML
TXT
SCAN
HTML
CLOUD
What's our retention period for client records?
TYPICAL AI
"Generally between 5 and 10 years, depending on jurisdiction…"
SOURCES
none provided
QUESTION
What's our retention period for client records?
VERIFIED ANSWER
Seven years from contract termination.
SOURCES
Retention_Policy_v4.pdf
Compliance_Handbook
Audit_Requirements
DATA NEVER CROSSES THIS BOUNDARY
Act 01
The pain
Knowledge scattered across a thousand files, nobody can find anything.
Your organisation has produced years of expertise - contracts, policies, manuals, research. It lives in shared drives, in inboxes, in someone's head. When a colleague leaves, a chunk leaves with them. When a question comes up, the right document is somewhere - but where?
→ EMBEDRY
Every file becomes part of one searchable knowledge layer. No re-tagging. No migration. The structure you already have stays exactly as it is.
Act 02
The pain
Every document pasted into a public AI tool is a small leak.
Cloud AI tools are powerful - and they want your data. Every contract pasted in, every internal memo summarised, every client name mentioned. Once it leaves your network, you don't control it anymore. Your legal team knows this. That's why they keep saying no.
→ EMBEDRY
Runs entirely inside your perimeter. Your hardware, your private cloud - your call. No outbound traffic. No telemetry. Disconnect the internet and Embedry keeps working.
Act 03
The shift
Your documents become structured knowledge.
Embedry parses each document, understands its structure, and converts it into a form that supports precise semantic search. The processing happens once, locally, on your machine. The result is a knowledge layer you actually own.
→ THE PAYOFF
Day-one search. Mid-sized corpus indexed within hours. The same chat interface your team already understands - backed by your own data instead of someone else's model.
Act 04
The pain
AI that answers confidently even when it shouldn't.
A generic AI tool will give you a confident-sounding answer to almost any question. It will sound right. It will be plausible. And in regulated environments, that's the most dangerous failure mode there is - because nobody can tell when it's wrong.
→ EMBEDRY
If the corpus doesn't support a claim, the system returns null with a reason. No fabrication. No hallucination. Confident silence is better than confident wrong.
Act 05
The resolution
Every answer arrives with its evidence.
Document, section, confidence score - every claim is cited and verifiable. Months later, you can reconstruct exactly how any answer was produced. Hand it to legal. Hand it to an auditor. Hand it to a regulator. The system is auditable by construction.
→ THE PAYOFF
Compliance-ready by design - not as a future enterprise add-on. Reproducible answers. Full lineage. The kind of AI you can actually defend in a meeting.