Indium

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Data analytics company Indium is in Cupertino, California; Princeton, New Jersey; London, England and Kuala Lumpur, Malaysia. The large team specializes in BI & big data consulting & SI, AI Consulting, Generative AI, Artificial Intelligence, and more and was launched in 1999.

Client Insights

Industry Expertise

Information technology

20%

eCommerce

15%

Financial services

10%

Gaming

10%

Medical

10%

Real estate

10%

Retail

10%

Education

5%

Energy & natural resources

5%

Media

5%

Client Size Distribution

Small Business (<$10M) 20%

Midmarket ($10M - $1B) 50%

Enterprise (>$1B) 30%

Common Project Size

$50K-$199K 12 projects

$200K-$999K 1 project

Clients

This provider has not added their key clients.

Highlights from Recent Projects

Overall Rating

4.7
21 Reviews

Indium Software worked with a biomedical data solutions company to handle their cybersecurity needs. The project involved integrating new security features into the Microsoft Azure suite of products, including Azure Active Directory, zero trust models, user profiles, and updates to Docker images and Container Registry. Indium also conducted vulnerability assessments and annual penetration testing for the company. The project team included a Ruby on Rails developer, an Azure Active Directory engineer, an Azure DevOps, an Azure architect, a database specialist, a project manager, a functional tester, and a security specialist. The project lasted from January 2022 to May 2022 and cost approximately $100,000.

In another project, Indium Software augmented the software QA capabilities of a scientific instruments company. They provided quality engineers who automated various software quality tests and quality analysts who scripted out the tests or provided free form testing services. The team also included a part-time project engineer. This engagement, which began in March 2018, is still ongoing.

For a software development company in the architecture, engineering, and construction industry, Indium Software implemented a desktop automation testing framework and provided education on its functions. The team also assisted with manual testing, automated regression testing, and API and selenium testing using the client’s in-house developer test framework. The team consisted of three manual testers, two automation testers, and an account manager. This collaboration began in October 2019 and is still ongoing.

Timeliness

4.4

Service Excellence

4.5

Value

4.7

Would Recommend

4.9