Queuemate

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Queuemate is a small application development firm based in Noida, India; and New Delhi, India. They specialize in Mobile App Development, E-Commerce Development, Web Development, and Custom Software Development and were established in 2013.

Client Insights

Industry Expertise

Financial services

15%

Media

15%

Hospitality & leisure

10%

Legal

10%

Medical

10%

Other industries

10%

Retail

10%

Utilities

10%

Education

5%

Real estate

5%

Client Size Distribution

Small Business (<$10M) 80%

Midmarket ($10M - $1B) 20%

Common Project Size

$200K-$999K 3 projects

Clients

  • Numerix LLC

Highlights from Recent Projects

Overall Rating

3.2
3 Reviews

Queuemate undertook a project for an American software company that provides pricing and risk analytics. The company needed a specific technology component that it did not provide in its software for two of its customers in Singapore. Queuemate was selected for the project based on a recommendation from a colleague who had previously worked with them. After a successful interview, Queuemate was assigned the task of developing the required technology component. The project cost ranged from $30,000 to $80,000. The feedback from the company was positive, noting their satisfaction with Queuemate's technical and functional capabilities in the financial and IT domain.

In another project, Queuemate worked with Mynukad IT Solutions, a company that provides utility-based mobile and web-based software. Mynukad needed a software with a QR code scanning feature for automated entry of helpers into residential apartments and an RFID-based IoT integration on the platform. Queuemate was chosen for the project based on a referral from an entrepreneur friend. They handled both the hardware and software aspects of the project, which cost between $300,000 and $400,000. The project began in April 2015 and went live in January 2016. Queuemate continues to manage the entire infrastructure of the platform and make ongoing enhancements.

Timeliness

2.8

Service Excellence

3.0

Value

3.5

Would Recommend

3.5