BY NUMBER7 AINumber7 AI
Transaction-intelligence infrastructure and operating thesis.
NUMBER7 AI
Built for the finance work that remains after extraction.
Number7 AI builds AIdaptIQ, a transaction-intelligence platform for the operational work between incoming financial evidence and controlled accounting outcomes.
AIdaptIQ
Finance operations between evidence and accounting outcomes.
WHY NUMBER7 EXISTS
The 50,000-invoice problem exposed the real automation gap.
Extracted fields did not complete the finance operation. People still assembled evidence, checked accounting context, resolved exceptions, coordinated approvals and verified the handoff.
Founder: Vishal Rajput, an AI engineer and KU Leuven alumnus, founded Number7 AI to build finance automation around the work that extraction leaves behind.
A readable invoice could still be unsafe to post or expensive to complete.
AIdaptIQ joins documents, controls, resolution and accounting outcome.
Reported automation must include exception work, rechecks and manual rescue.
THE OPERATING THESIS
Finance teams need more than another field extractor.
A financial system should maintain evidence, transaction state, controls, resolution and action history.
A correct field is useful. A controlled accounting outcome is the product.
Number7 AI
WHAT WE BUILD
One product across the transaction lifecycle.
01Explore →02Explore →03Explore →04Explore →05Explore →
Accounts payable
Document intake through controlled accounting outcome.
Procure to pay
Persistent PO, receipt and invoice state.
Exception resolution
Evidence, ownership and replay.
Controller visibility
Exposure traced to source and action.
Embedded infrastructure
Transaction intelligence for other products.
FOLLOW NUMBER7 AI
Company updates and product demonstrations.
Discuss a finance-operations workflow.
Tell us where evidence, controls or exceptions currently break.