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Nanonets helps businesses convert unstructured data into structured data and automate processes like AP automation, Expense Management and Contract Lifecycle Management
Basic Information
Headquartered in San Francisco, California, Nanonets provides machine learning APIs for developers to integrate into their products in just a few minutes. Nanonets enables self-service artificial intelligence by simplifying adoption. Easily build machine learning models with minimal training data or knowledge of machine learning. Nanonets makes it super easy to use their models across devices and platforms: API - Use their API with the programming language of your choice (Python, Javascript, Java), Docker – Their docker models come in two flavors - GPU and CPU and can run on almost any platform including embedded devices, Mobile - download their Mobile SDK for iOS or Android and run the model on every users device and make inference instantly. Their APIs gives access to their trained model customised to needs for: OCR, Object Detection, Image Classification, Image Segmentation, Image Tagging and Image Similarity. Their customers: Tesla, AirBnB, Target, Opendoor, Bosch, Seagate, Flipkart, dailyhunt, adani, Whirlpool, Sherwin Williams, Mahindra and ITC. Their Investors: Y Combinator, SV Angel, Sound, FundersClub, Avalon Ventures and SOMA Capital.
Legal Name
:
NanoNet Technologies Inc.
Headquarters
:
San Francisco, California, United States
Business Model
:
B2B  
Founding Date
:
1st Jan 2017
No. of Employees
:
21 to 40
Core Team
:
1.  
Prathamesh Juvatkar
Co-founder and CTO
2.  
Sarthak Jain
Co-Founder & CEO
Funding

Total Funding

$120.0k

Investors
:
1.  
Elevation Capital
2.  
Y Combinator
3.  
Sound Ventures
4.  
Soma Capital

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Detail Round Breakdown
Round 1

$10M

Series Name
:
SERIES-A
Date
:
16th Feb 2022
Investors
:
1.  
Elevation Capital
2.  
Y Combinator
3.  
SV Angel
4.  
Soma Capital

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