Keep the model you already trust — Claude, GPT, Gemini. It turns your question into a precise query and hands it to your box. Your box answers over every record — exact, and cited to the record — and gives it back. The model never sees a single record.
Every “AI over your data” tool makes a choice about where your records go. That choice decides what it costs, what it can answer, and whether your data ever leaves your building.
The questions a person actually asks — and the ones you could never trust an AI with, because they have to be right across everything.
“What’s the margin on job 100042?”
“Show me every open work order on the Dallas account.”
“Which invoices are past 60 days?”
“Across all four million records, which ones break this rule?”
“What’s our total exposure — counted over everything, not a sample?”
“Does any agreement auto-renew in the next 90 days?”
Each answer comes back with the exact records it rests on — and a receipt anyone can re-check. It never guesses over a handful and hopes.
You send the question, not the records — so asking a hundred million records costs about what asking a thousand does.
Each one is a claim proving itself on real records, right in your browser. Nothing leaves the box.
Point your own Claude or Gemini at 44,000 records. It writes the query; the box answers exact and cited.
Watch the cost of asking stay flat as the data grows — while reading it all in runs off the chart.
Same questions, same records: read-a-sample vs answer-over-every-record. Bring your own AI and run it.
Race a decade-old record against a fresh one — both answered exactly, both cited.
Slide a work order back through every version it ever had, and prove each step.
Edit a sealed certificate and watch the receipt stop verifying. Tamper never hides.
Every claim here is something we can show you running — on a slice of your own records, no slideware. Tell us what you keep, and we’ll set up a look.