AI agents automating invoice and PO processing into SAP and Salesforce
Nanonets builds AI document-processing agents that extract data from invoices, purchase orders and similar files and push clean records into ERP and CRM systems. The stack pairs LLM tooling (GPT, Llama, Hugging Face, RAG) with Go, Python and Cassandra on Kubernetes, plus SAP S/4HANA integration. Hiring is accelerating and skews senior and sales-led, with roles in France, the US and India, pointing to an enterprise go-to-market push.
Nanonets is a privately held company founded in 2017 and headquartered in San Francisco, California, with 51–200 employees. It sells AI agents that read business documents such as invoices, POs, bills of lading and clinical files, apply business rules, and route structured data into systems of record like SAP and Salesforce. The product targets enterprises with complex, exception-heavy back-office workflows, alongside mid-market accounts. Engineering runs on Go, Python, TypeScript, React and Node.js, with PostgreSQL, Redis and Cassandra across AWS and GCP.
Nanonets uses Go, Python, TypeScript, React and Node.js, with PostgreSQL, Redis and Cassandra on Kubernetes and Docker across AWS and GCP, plus GPT, Llama, Hugging Face and RAG for AI.
Yes. Sales leads Nanonets' accelerating hiring, mostly at senior level, focused on enterprise account expansion and new logo growth across France, the United States and India.
Yes. SAP and SAP S/4HANA appear in Nanonets' stack, and its agents deliver clean extracted document data into SAP as well as Salesforce.
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Nanonets's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.