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NanoNets

Automatic Data Extraction

Y CombinatorWinter 2017ActiveB2BProductivityDeveloper ToolsSaaSB2BAI

What they do

Problem

Organizations struggle to accurately and reliably extract structured data from complex documents like invoices, bills of lading, and clinical records without opaque errors or hallucinations.

Solution

Nanonets provides traceable AI agents for document data extraction and agentic workflows that show what was read, which rules were applied, and route uncertain fields to human review while learning from corrections.

Who it's for

Operations and back-office teams at businesses processing high volumes of complex documents (e.g., finance, logistics, healthcare).

Founders

Sarthak Jain
Founder/CEO

Enjoys being wrong about AI products being mainstream since 2010. 2024 might be different?

Open roles 8

Account Executive - US
Palo Alto, CA, US / Remote (Palo Alto, CA, US) · Full-time · $100K - $120K · 0.25%
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Account Manager (Customer Success)
Palo Alto, CA, US / Remote (San Francisco, CA, US) · Full-time · $80K - $140K
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Sales Engineer
Palo Alto, CA, US · Full-time · $90K - $140K
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VP of AI
Palo Alto, CA, US / Remote (Palo Alto, CA, US) · Full-time · $240K - $300K
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Senior Deep Learning Engineer
Bengaluru, KA, IN / Bengaluru, Karnataka, IN · Full-time · ₹40 - ₹65 INR
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Product Marketing Manager
Palo Alto, CA, US / San Francisco, CA, US / San Jose, CA, US / Menlo Park, CA, US / Mountain View, CA, US / Sunnyvale, CA, US · Full-time · $150K - $200K
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Product Analyst
Bengaluru, KA, IN / Bengaluru, Karnataka, IN · Full-time · ₹2M - ₹3M INR
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Engagement Manager
Palo Alto, CA, US · Full-time · $160K - $180K
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Company timeline

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