Nanonets

Nanonets' stated mission is to make machine learning as ubiquitous as databases, building AI agents that read documents, apply rules, and keep systems of record up to date.

Nanonets claims a record 90% straight-through processing rate and says it wins deals primarily because of accuracy, user experience and the quality of its integrations.

An invoice that typically takes 15 minutes to process manually can be reduced to less than a minute with Nanonets' automated solutions.

Rather than aiming for zero humans, Nanonets routes ambiguous documents to a person with context, not just a flag.

TechCrunch reports about 50%-55% of Nanonets' customers are in financial services, using the platform for invoices, receipts, accounts payable/receivable, reconciliation and expense management.

Over 34% of Global Fortune 500 companies have used Nanonets' AI-based workflow automation platform across finance, accounting, operations and other business use-cases.

The US accounts for about 40% of Nanonets' revenue, followed by Europe which contributes 30% to 35%.

Nanonets has started serving customers in healthcare and manufacturing as it expands into adjacent document-processing use cases beyond its core financial-services base.

Nanonets routes documents it cannot confidently process to a person with context, reflecting a philosophy that automation should assist rather than fully replace human review.

Customers can start with a free, no-credit-card trial or book a demo for an enterprise-assisted sales motion.

Nanonets' website offers a free trial with no credit card required, alongside a demo-booking option for enterprise buyers.

Nanonets' no-code AI agents can be plugged into ERP platforms like QuickBooks, Xero, Sage and NetSuite.

Nanonets distributes open-source models via Hugging Face as part of its product offering.

Nanonets builds AI agents for use cases including accounts payable, order management, logistics and healthcare revenue cycle, plus dozens of other workflows where teams move data between systems.

Beyond its core financial-services base (invoices, reconciliation, AR, expense management), Nanonets is expanding into more adjacent processes and has started serving customers in healthcare and manufacturing.

Nanonets has about 100 employees, which includes most of its engineering team, based in India.

Nanonets' core asset is its own AI models for document data extraction and workflow automation, some of which are also released as open-source models via Hugging Face.

Nanonets' no-code AI agents plug into ERP platforms like QuickBooks, Xero, Sage and NetSuite.

Nanonets lists its backers as Elevation Capital, Y Combinator, Accel, SV Angel, Avalon Ventures, FundersClub and Soma Capital.

Of Nanonets' pricing tiers, Pro and Enterprise are the most significant contributors to annual recurring revenue, with an equal split between them.

Since its 2022 funding round, Nanonets' revenue has consistently increased about three times per year, and the company aims to expand its top line by 2x to 3x in the current year.