One specialist for every line.
The D&O policy goes to the D&O specialist, the cyber form to the cyber specialist — sixteen in all, reading in parallel.
The six use casesThirty minutes, on your own documents.
Qumis is the AI for insurance advisory on complex accounts. It was built by a coverage attorney to analyze policies the way he would — entire towers, manuscript endorsements, no page limits — with every finding cited to the clause.
Ordinary AI didn’t meet that standard, so we built our own: sixteen line-of-business specialists analyzing in parallel, every query running on a full virtual computer, and processing pipelines built specifically for insurance documents.
Qumis meets the demands of the top minds in insurance.
Founded by a coverage attorney and built with practicing counsel, Qumis reads every policy the way a lawyer does — grant, conditions, exclusions, then the endorsements that rewrite them — and shows its work, clause by clause.
How a read happens
The D&O policy goes to the D&O specialist, the cyber form to the cyber specialist — sixteen in all, reading in parallel.
The six use casesGrant, then conditions, then exclusions, then the endorsements that rewrite them — ending in one of eight verdicts, including “I don’t know.”
Claims coverage analysisThe grant on page 6 meets the sublimit on page 20 and the endorsement on page 44 — because Qumis reads every page.
Policy review & checkingEach citation is verified against the source after the fact; click one and the highlight lands on the exact paragraph.
Contract & requirements review

Ten catalogued patterns where one policy’s exclusion pushes a claim to another whose exclusion pushes it back — found by a review, not by a loss.
Program structure & designOn a full virtual computer
Every query runs on a full virtual computer — so the answer comes back as finished work, not a paragraph to paste.
Thirty files, a 2,000-page manuscript program, the whole shared-and-layered tower with every quote and binder. Qumis reads all of it — no cap on files, no cap on pages, nothing skipped.
Because it has a computer, it can code and calculate. Word memos, Excel comparisons, PDFs, interactive dashboards, and client microsites — built to your brand guidelines, ready to send.
Upload the checklist, the Excel tracker, the application, or the questionnaire, add the quotes or binders behind it, and Qumis fills it out from the source documents — every answer cited to the page it came from.
Interactive · published
| Field | Value | Source |
|---|---|---|
| Named insured | Hearth & Crumb Holdings, LLC | Dec. p. 1 |
| Policy period | 10/1/2026 – 10/1/2027 | Dec. Item 2 |
| GL each occurrence | $1,000,000 | Dec. Item 3 · p. 2 |
| General aggregate | $2,000,000 | Dec. Item 3 · p. 2 |
| Umbrella limit | $10,000,000 | Umbrella Dec. · p. 1 |
| Cyber waiting period | 8 hours | Cyber §III.B · p. 14 |
| D&O retroactive date | 1/1/2019 | Dec. Item 6 · p. 3 |
| MFA warranty | Required — see Endt. 6 | Condition precedent Endt. 6 · p. 44 |
From recorded customer calls
“Qumis is the only tool we’ve proven to be effective at scale. Full stop.”
“It just took five minutes instead of four hours — and it put it together exactly how I would have done it myself.”
“Qumis has a little bit more insurance industry context than ChatGPT, Claude, and certainly Copilot — which starts the conversation off on the right foot.”
“Huge time saver, professional look, gives us the consistency.”
“That first page caught warranties, and it caught the MFA condition precedent — not something I would have thought it would catch, because it doesn’t say ‘warranty.’ It’s picking up that it’s functioning as a warranty.”
“These really large, intense programs — Qumis is the better fit for that.”
“Back in my day I had to turn my two screens vertically so I could scroll through each one and compare.”
“Five minutes for the report, twenty minutes of review, you’re done in half an hour. That could have taken three, four hours before.”
“Our people are talking about it. They’re showing each other. I have too many emails in my inbox from this morning with additional people saying they want access.”
“The naked eye might miss some things. It said, you might want to ask why you have this 55% increase, or why there’s reduced coverage on that. I was a little surprised.”
“I use Qumis for everything now. It gives me a better work product.”
“I really like the executive summary — whittle it down for the executive, and if there are areas to deep-dive, we’ve got the data behind it.”
“It’s doing that in three to five minutes, as compared to an hour and a half to two hours of somebody’s time we really want doing marketing work.”
“I wasn’t the only one saying this will be a game changer. It’s something I’m always asking for and we’ve never had.”
“We make a whole website with an interactive map of everything — we blow them out of the water every time.”
“I love the branding — simple, clean, crisp. This report is something I’ve been manually putting together for years.”
“It’s much smarter, much better — and it’s something that’s available today.”
Verbatim from recorded customer, pilot, and onboarding calls, 2026, lightly trimmed for length. Attributed by role and firm type. Click any voice to read it.
Thirty minutes, on your own documents — a tower, a manuscript form, or a denial. One use case, run live, cited to the clause.
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