neurIOT Labs Information
Contact top employees from
neurIOT Labs
Summary
neurIOT Labs is a private company. The company currently specializes in the Computer Software area. The neurIOT Labs annual revenue is estimated at < 1M. To connect with neurIOT Labs employee register on SignalHire.
Organization Website | neuriot.com |
Social Links |  |
Industries | |
Headquarters Location | Noida, IN |
Employees Size | 10-50 employees |
Specialties | Machine Learning, Internet of Things (IOT), Data Science, Artificial Intelligence, Python, R Language, Neural Networks, Prediction, Google TensorFlow, Microsoft Azure, IBM Watson, Google Brillo, Classification, Fraud Detection, Recommender System, Raspberry Pi, Arduino |
Founded | 2017 |
Operating Status | Independent Company |
Employees Turnover 4 quarter 2025
Number of employees switched from or switched to
Total number all of employee turnover
Length of Employment
Employee tenure at neurIOT Labs shows a diverse range of experience levels:
8% have been with the company for less than 1 year15% for 1–2 years23% for 3–4 years46% for 5–7 years8% for 8–10 yearsEx-employees positions
In Company
In New Company
Contact top employees from
neurIOT Labs
Himanshu Upadhyay
Head - Product Engineering
Raj Kumar Yadav
Jr. Data Scientist
Carl Jason
Junior Fullstack Developer
Sanjeev Thukral
Chief Executive Officer
Sanjeev Thukral
Chief Executive Officer
Sarvesh Patidar
Product Manager
Lakshay Kapur
AI PreSales , Sales and Marketing
Praveen Kumar Chaudhary
Lead Data Scientist
Manish Kumar Yadav
Senior Software Engineer
Swati Manchanda
Administrative Assistant
Udit Agarwal
Mid-Level Data Scientist
Shafi Ahmad
Python Developer
Amit Sangwan
Python Developer
Simardeep Singh Sethi
Computer Vision Engineer
Deepesh Yadav
Account Manager
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FAQ
neurIOT Labs operates in the Software Development industries. More details can be found on the official website: neuriot.com.
The headquarters of neurIOT Labs are located in Noida, India.
neurIOT Labs currently employs 10-50 people.
neurIOT Labs's revenue is approximately < 1M.
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