Veloxcore Private Limited

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Veloxcore is a big data agency founded in 2014 with more than 10 experts. Based in Ahmedabad, India, they specialize in cloud consulting, big data consulting, and web development solutions for small and mid-market businesses.

Client Insights

Industry Expertise

Retail

30%

Manufacturing

20%

Telecommunications

20%

Hospitality & leisure

10%

Medical

10%

Other industries

10%

Client Size Distribution

Small Business (<$10M) 70%

Midmarket ($10M - $1B) 30%

Common Project Size

$10K-$49K 4 projects

$50K-$199K 2 projects

$200K-$999K 1 project

Clients

  • VoIPLy

Highlights from Recent Projects

Overall Rating

4.9
8 Reviews

Veloxcore Private Limited was hired by Inventory Innovations, a company that provides a cloud-based SaaS inventory management platform. The goal was to convert their existing legacy desktop application to a fully cloud-based SaaS application using Azure. Veloxcore was chosen for their experience with big data, Angular, .Net Core, and Azure. The project involved a full rewrite of the legacy application and resulted in a MVP version of the application up and running in just over 12 months. The project started with 2 senior developers and has since grown to 2 development teams with 7 total developers.

In another project, Veloxcore was contracted by an Intergovernmental Organization's office in Vienna to provide remote development resources to augment their staff. Veloxcore's team helped build a web-based translation software using a Microsoft development stack, which includes MVC for web development, .NET for app development, and Windows services. The team comprised of seven people from Veloxcore and the engagement started in July 2021 and is ongoing.

Veloxcore was also engaged by Elevator Global Limited, a technology partner providing software development services, to design and develop a distributed messaging integration service in Azure. The project involved designing and developing a secure messaging solution that retrieves relevant messages from an external service endpoint API, wraps the message in meta-data and stores the messages into a Mongo Atlas database. The solution was required to be secure and robust. This project was handled by one employee from Veloxcore.

Timeliness

4.9

Service Excellence

4.9

Value

4.9

Would Recommend

5.0