Nanonets
The role involves building and deploying cutting‑edge, generalized deep learning architectures to solve complex business problems such as converting unstructured data into structured formats. The engineer will create state‑of‑the‑art models, experiment with new advancements, and ensure production‑grade deployment at scale.
Headquarters
San Francisco, California, United States
Company Size
51-200 employees
Founded
2017
Nanonets is an AI agents platform that automates complex, document-heavy enterprise processes such as accounts payable, order management, claims processing, and logistics by deploying agents that read inputs, apply business rules, and deliver clean data to systems of record like SAP and Salesforce. It uses context graphs to handle edge cases and business logic across documents, ERPs, CRMs, and communications, enabling end-to-end touchless processing with human review only where needed. Trusted by 10,000+ enterprises, Nanonets also offers best-in-class document data extraction powered by its OCR-3 model, ranked #1 on the IDP Leaderboard.
Why Enterprises Are Learning To Love Nanonets’ Automation
Mar 12, 2024
Nanonets gets Accel’s backing to improve AI-based workflow automation
Mar 12, 2024
Nanonets Raises $29 Million in Series B
Mar 14, 2024
Nanonets, an AI-powered workflow automation startup, just raised $29 million with this 23-slide pitch deck
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Nanonets.
Nanonets didn’t post a salary, so this is our estimate from similar listings.
3% below the average for this role
Mar 12, 2024
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