Pull the key clauses and signatories out of a long document automatically.
An MOA is long and the officer reads it to find a handful of details — shareholders, share capital, signatories. Reading the entire document by eye is slow.
Nanonets extracts those specific fields from a multi-page document automatically. You review structured data instead of scanning prose, turning a full read into a targeted check.
Turn the pilot into an evidence-based decision on whether to scale.
Get the extracted data into the systems Registry actually works in.
Prove the accuracy on one document type before scaling to others.
Upload the multi-page MOA.
Confirm the extraction covers every page.
Review the extracted fields — company name, shareholders, share capital, signatories.
Check each extracted value against the relevant page.
Correct anything misread, particularly names and figures.
Approve once the key fields are verified.
You upload a [hypothetical multi-page] MOA for [Example Company]. Nanonets extracts: • Company name: [Example Company Ltd] (page [X]) • Shareholders: [Shareholder A], [Shareholder B], [Shareholder C] (pages [X], [Y], [Z]) • Share capital: [amount] (page [X]) • Signatories: [Signatory One], [Signatory Two] (pages [X], [Y]) You open page [Y] and see [Shareholder B]'s name was misread. You correct it, verify the other fields match their source pages, and approve the extraction.
Extract the company name, shareholders, share capital, and signatories from the multi-page MOA, showing which page each value came from so it can be verified quickly.
Cross-check extracted values against what Registry already holds.
Teach Nanonets the exact fields Registry needs from one document type.