StartupSoft

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StartupSoft is a midsize IT staff augmentation company. Launched in 2016, the agency is in San Francisco, California; L'viv, Ukraine and Ternopil, Ukraine. Their services include IT staff augmentation, Artificial Intelligence, IT strategy consulting, Web Development, and more.

Client Insights

Industry Expertise

Financial services

30%

Medical

20%

Hospitality & leisure

15%

Telecommunications

15%

Education

10%

Real estate

10%

Client Size Distribution

Small Business (<$10M) 20%

Midmarket ($10M - $1B) 55%

Enterprise (>$1B) 25%

Common Project Size

$50K-$199K 8 projects

$200K-$999K 5 projects

$1,000,000-$9,999,999 3 projects

Clients

  • RxDefine

Highlights from Recent Projects

Overall Rating

5.0
24 Reviews

StartupSoft was hired by a credit solution company to augment their staff and assist in web and API development. The team of 6-10 employees from StartupSoft was selected based on their high ratings, budget-friendly pricing, and good cultural fit. They played a crucial role in the development of technical requirements, managing the delivery of key features, and participating in the monitoring and analysis of the platform. The team was also actively involved in planning meetings and retrospectives, proving to be valuable members of the company's team.

In another project, StartupSoft provided IT staff augmentation for a finance and healthcare firm. The firm sought assistance with software quality assurance, and StartupSoft was chosen due to its good value for cost and recommendation. A single employee from StartupSoft was assigned to provide QA consulting services, testing, and validating the firm's product on both web and mobile platforms.

StartupSoft also worked with Carnegie Mellon University on a custom software development project. The university hired StartupSoft for its software engineering expertise. Two to five employees from StartupSoft were assigned to this project, and they worked on a variety of database/backend algorithms and frontend design and implementation. The team was selected based on their great culture fit and good value for cost, and they were referred to the university.

Timeliness

4.9

Service Excellence

4.9

Value

4.9

Would Recommend

5.0

Awards

123575

2024

123597

2024

123608

2024

123538

2024