Founders and operators
Pull answers from policies, vendor docs, investor notes, and internal references without digging through folders.
Turn unread PDFs, docs, and notes into a private searchable library you can talk to, with cited answers you can verify.
Archive status
Start with a few files and get source-aware answers without building a document system yourself.
Proof and trust
Open source
Inspect the product, deployment shape, and security posture before trusting it with important documents.
Accountable builder
Built by the founder behind CodeHeaven Studio, with direct profile links instead of anonymous product claims.
Grounded answers
Responses are designed around retrieved document context so users can move from answer back to source.
Private workspace
Authentication, dashboard access, and document boundaries keep the archive focused on your own files.
Who it helps
The product is for work where the answer matters, the source matters, and manually searching takes too long.
Pull answers from policies, vendor docs, investor notes, and internal references without digging through folders.
Turn long PDFs and notes into a working archive that can answer detailed questions with source context.
Find the right detail inside contracts, manuals, onboarding docs, and account material faster.
Why it is easier
The Archive.ai removes the usual steps between having a file and using the knowledge inside it: no scattered folders, no generic answers, no blind trust in unsourced output.
Meaning-based retrieval helps find the point you need even when the exact keyword is missing.
Your archive is tied to your account and built around private document access patterns.
AI answers are designed to stay grounded in the uploaded documents that shaped them.
Start with one file, ask your first question, and upgrade only when the archive grows.
Try the product with a small archive, then upgrade when your document work needs more room.