An enterprise knowledge assistant that reads your PDFs, policies and contracts and answers every question with a source, a page, and a score.
Handbooks, playbooks and past contracts sit in five drives and three tools. Answers hide inside PDFs nobody reads.
Consumer chatbots don't know your PTO rules, your approval matrix, or your security posture, and they'll happily make some up.
Without page-level citations, legal, HR and finance won't ship it. Every answer needs a paper trail.
The assistant refuses to invent. If retrieval doesn't find strong evidence, it says so, and shows you what it did find.
USER
How many PTO days can I carry over next year?
ASSISTANT
Full-time employees may carry over up to 5 unused PTO days into the following year, per the HR Policy Handbook.
CITED · P.12
93% MATCH"Unused PTO may carry over up to 5 days into the following year."
HR_POLICY_HANDBOOK_2026.PDF
Six primitives. One workspace. Every result grounded in a document, a chunk, and a page.
Ask questions across every indexed document. Answers arrive with page-level citations and confidence scores.
Retrieve the exact passage across policies, playbooks and contracts. No keyword guesswork required.
Every response links back to the source document, page, chunk and match percentage.
Upload PDF, DOCX, TXT and CSV. Documents are chunked, embedded and searchable within seconds.
Generate short, detailed, executive, key-point or risk summaries of any indexed document.
Admin, manager and employee roles with row-level security across every workspace table.
Four stages. Every document is chunked, embedded, and retrievable, with full provenance.
Upload PDFs, DOCX, TXT or CSV. Documents are chunked and normalized automatically.
Text is embedded into vectors and stored with page-level metadata for precision retrieval.
Top-k semantically relevant chunks are fetched for every question, ranked by confidence.
The model composes a grounded reply. Never inventing, always citing its sources.
Admin, manager and employee roles with row-level security across every workspace table.
Every AI response ships with the source document, exact page, and confidence score.
RLS policies on every table by default. Users only see what they are permitted to see.
Plug in your own embedding and chat model. No vendor lock-in, full control over data.
Reach out directly and I will provision a role-scoped workspace so you can evaluate ingestion, retrieval and citations end to end.