

iKaaz Software Pvt Ltd: Detailed Company Information & Corporate Profile
Contact top employees from
iKaaz Software Pvt Ltd
Summary
iKaaz Software Pvt Ltd has been in the industry for 14 years. The company currently specializes in the Financial Services area. Its headquarters is located at SG. The estimated number of employees - 5. To connect with iKaaz Software Pvt Ltd employee register on SignalHire.
| iKaaz Software Pvt Ltd Website | grab.com |
| Industries | |
| iKaaz Software Pvt Ltd Headquarters address | 28 Sin Ming Lane, #01‑143. HQ, Singapore, 560049 SG |
| Company Size | 5000-10000 employees |
| Specialties | Mobile payments, NFC, EMV Reader, Mobile POS, Low cost NFC Reader, Change Any phone to NFC Reader, Payments Platform, Tap and Pay, Mobile Wallet, Merchant Mobile Payment Platform |
| Founded | 2012 |
Workforce Turnover
Length of Employment
iKaaz Software Pvt Ltd's workforce includes employees across a wide range of tenure levels.
33% have been with the company for 5 to 7 years33% have been with the company for 8 to 10 years33% have been with the company for more than 11 yearsContact top employees from
iKaaz Software Pvt Ltd
Mukesh AgrawalMember of the Board
m***********l@gmail.com
, m************l@gmail.com
+91-***-***-2746
Companies Similar to iKaaz Software Pvt Ltd
iKaaz Software Pvt Ltd Corporate Information: FAQ
iKaaz Software Pvt Ltd operates in the Finance industries. More details can be found on the official website: grab.com.
The headquarters of iKaaz Software Pvt Ltd are located in Singapore, Singapore.
iKaaz Software Pvt Ltd currently employs 5000-10000 people.
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.





