You curate the corpus.
PDF uploads or a single IMAP folder per topic — that's the entire knowledge base. Schema-enforced via folder_access and ingest_rules, not honor system.
Curated AI for the enterprise
TruePaddock doesn't read your hard drive, your inbox, or your Slack. It only knows the documents and email folders you explicitly hand it. Curated knowledge in, precision answers out.
No signup. The demo only knows 3 PDFs and 5 emails — and you can see exactly which ones.
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TruePaddock
“We don't read your company. We read what you tell us to.”

public/screenshots/chat.png.)Three guarantees that the database — not just the marketing — enforces.
PDF uploads or a single IMAP folder per topic — that's the entire knowledge base. Schema-enforced via folder_access and ingest_rules, not honor system.
No source, no claim. Each assistant message ships with the exact PDFs and emails its passages came from. If retrieval returns nothing, the AI says so instead of guessing.
Members only see chunks from folders they're explicitly granted. Admins see everything. Owners run the audit. The session JWT carries the org id; queries are org-scoped at the SQL level.
Point us at a PDF or a single IMAP folder per topic. That's the entire corpus.
Chunked, embedded, and stored as vectors in your Postgres. Nothing leaves your database.
Every reply is grounded in a retrieved passage. No matching passage means no answer — by design.
We don't operate a multi-tenant data lake. Embeddings live in your database — pgvector, your column, your backups.
The session JWT carries the org id. Every retrieval query is org-scoped at the SQL level, not the application layer.
You can read every file in this app on GitHub. There's no proprietary 'black box' between your corpus and the model.
The demo runs against a curated knowledge base of three PDFs and five emails. Try the on-menu prompts to see citations. Try the off-menu prompts to see what an AI with boundaries actually does.
Curated knowledge. Precision answers. Zero corporate dragnet.