NanoNets
AI agents break where it matters most: when the details are buried in an invoice, a BoL, or a clinical document. Most agents guess. They hallucinate field values, apply rules inconsistently, and when something goes wrong, you can’t tell why or fix it without redoing the work yourself. Nanonets is built differently. Every extraction is traceable. You can see exactly what the agent read, what rule it applied, and why it made the call it did. When it’s uncertain, it flags the right thing for human review instead of silently getting it wrong. When you correct it, it learns. When you add business rules, it tracks which rule drove which decision. Anyone can build agentic workflows, but AI agents are black boxes that struggle with complex files and processes, like POs, invoices, BoLs and clinical documents. Nanonets agents understand key details in files, work through complex processes and act with transparency, making them the most reliable foundation for building workflows where details matter. Nanonets reduces processing time by 95% by automating messy manual processes and delivering clean data to systems of record like SAP, SFDC and more. That’s why Nanonets is the automation layer global enterprises reach for when accuracy is non-negotiable.
Vendors
0Third parties this company currently discloses, grouped by function when classified.
No disclosed vendors yet
Vendors appear only once a public disclosure or other published evidence names them.
Customers
0Companies whose current disclosures name this company as a vendor.
No observed customers yet
Customers appear when another company's current disclosure names this company as a vendor.
Potential customers
0Companies using another vendor in one of NanoNets’s categories, excluding NanoNets’s observed customers.
No potential customers found
Potential customers appear after NanoNets has a category assignment and current vendor relationships can be compared.