MondoBrain Information
Summary
MondoBrain is a private company that has been in the industry for 12 years. The company currently specializes in the Computer Software, Artificial Intelligence (AI) areas. The position of the Founder & CEO is occupied by Augustin Huret. Its headquarters is located at New York, New York, USA. The number of employees ranges from 25 to 100. The annual revenue of MondoBrain varies between 100K and 5.0M. Total funding of the company - $15.6M. To connect with MondoBrain employee register on SignalHire.
Organization Website | mondobrain.com |
Social Links |   |
Phone Number | +1 (703) 776-9267 |
Industries | |
Headquarters Location | 535 5th Ave, New York, 10017 US |
Employees Size | 10-50 employees |
Specialties | Augmented Intelligence, Machine Learning, Operation Excellence, Data Visualization, Digital Manufacturing, Performance Management, Big Data Analytics, Predictive Analytics |
SIC Code | 7373 |
DMA Code | New York Metropolitan Area |
Founded | 2014 |
Estimated Annual Revenue | $100K - 5.0M |
Operating Status | Independent Company |
Competitors
Founded | Type | Employees | Revenue | Funding | |
|---|---|---|---|---|---|
| 2015 | Privately Held | 25 - 100 | 3.8M | $7.5M | |
| 2017 | Privately Held | 25 - 100 | 3M | $20M | |
| 2013 | Privately Held | 1 - 25 | 11M | $2.5M | |
| 2010 | Privately Held | 25 - 100 | 21.6M | $29.2M |
Employees Turnover 4 quarter 2025
Length of Employment
Employee tenure at MondoBrain shows a diverse range of experience levels:
44% for 5–7 years44% for 8–10 years11% have over 11 years of service at MondoBrain
Similar Companies
FAQ
Data Privacy
GDPR COMPLIANT
SignalHire complies with the General Data Protection Regulation (GDPR). SignalHire follows GDPR requirements, including but not limited to rights of data subjects to access, correct, or delete their personal information and supports the right to be forgotten.
CCPA COMPLIANT
SignalHire is CCPA-compliant and provides California residents the right to know, access, opt out, and request deletion of their personal data.
