SLV Tech Solutions: Detailed Company Information & Corporate Profile
Contact top employees from
SLV Tech Solutions
Summary
The company currently specializes in the Information Services area. The annual revenue of SLV Tech Solutions varies between 1 and 10M. To connect with SLV Tech Solutions employee register on SignalHire.
| SLV Tech Solutions Website | slvtechsolutions.com |
| Phone Number | 8762441475 |
| Industries | |
| SLV Tech Solutions Headquarters address | Bengaluru, Karnataka, 560037 IN |
| Company Size | 1-10 employees |
| Specialties | Data Engineering, IT Consulting, Business Intelligence, Workforce Training and Development, Big Data Technologies, Web Development, Digital Transformation, Artificial Intelligence |
| Founded | 2020 |
| Estimated Annual Revenue | $1 - 10M |
Workforce Turnover
Length of Employment
SLV Tech Solutions's workforce includes employees across a wide range of tenure levels.
100% have been with the company for 1 to 2 yearsContact top employees from
SLV Tech Solutions
ManoshFounder & Lead Trainer | SLV Tech Solutions | Data Engineering & Cloud Expert
Email (1)v*******4@gmail.com
Phone (1)+91-***-***-7396
Companies Similar to SLV Tech Solutions
SLV Tech Solutions Corporate Information: FAQ
SLV Tech Solutions operates in the Outreach Services industries. More details can be found on the official website: slvtechsolutions.com.
The headquarters of SLV Tech Solutions are located in Bengaluru, India.
You can contact SLV Tech Solutions by phone at 8762441475.
SLV Tech Solutions currently employs 1-10 people.
SLV Tech Solutions's revenue is approximately 915K.
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.
