PAM learns more from less. Every other product takes a sledgehammer to your data. We peel back only what's needed.
We don't want you on our app. We want you outside, with your family. 90 seconds — in and out. Gaps handled. App closed.
Extract the signal. Discard the source. 84% of documents classified without reading a word. Privacy isn't a tradeoff. It's the method.
PAM succeeds when you forget it exists. When tax season is a Tuesday. When your weekends are yours again.
PAM uses a progressive privacy cascade. It starts with the least invasive signal — the filename — and only goes deeper when it has to. Most documents never need more than that. The ones that do get just enough context to classify accurately, and nothing more.
| What PAM does | Analogy | Privacy cost |
|---|---|---|
| Reads filename and folder | Reading the label on the filing cabinet | Zero |
| Reads PDF properties | Reading the return address | Minimal |
| Checks page count, form fields | Feeling the weight of the envelope | Low |
| Scans first 500 chars for dates | Reading through the envelope window | Medium |
| Reads first page (~16% of docs) | Opening the envelope | Highest |
PAM models the things you own, owe, operate, and interact with — not just files.
Most tools track what you give them. PAM computes what you should have — and flags the delta. It cross-references your entities, lifecycle rules, and document inventory to surface what's urgent, what's missing, what's gone stale, and what's complete.
We tested PAM against 10,836 real documents across nested folders, inconsistent naming, duplicate files, and decade-old archives. Classification accuracy was identical whether documents were neatly organized or thrown into a single folder. PAM works on your mess.
Private beta starts Q3 2026. First 500 applicants get in free — no credit card required.
No spam. First 500 get free beta access — you'll hear from us when we're ready for you.