Geomotiv

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Geomotiv is a custom software development and IT staff augmentation company headquartered in the US. Founded in 2010, they deliver software solutions for top U.S. and European markets, such as: EdTech, eCommerce, AdTech, Linear and OTT TV, and other domains.

Client Insights

Industry Expertise

Advertising & marketing

40%

Education

20%

eCommerce

20%

Information technology

10%

Media

10%

Client Size Distribution

Small Business (<$10M) 30%

Midmarket ($10M - $1B) 40%

Enterprise (>$1B) 30%

Common Project Size

$10K-$49K 3 projects

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

$50K-$199K 2 projects

Clients

  • The Rubicon Project

Highlights from Recent Projects

Overall Rating

4.8
15 Reviews

Geomotiv was hired by Zooplus, a pet-related retail and e-commerce platform, to assist in scaling their business. The team of less than 10 software engineers from Geomotiv worked primarily in a Java environment and acted as an extension of the existing team at Zooplus. They were responsible for delivering full products, including a customer service program that allows customers to self-service and cancel orders. Most of the software produced was internal custom-made solutions.

Addepto, a leading AI consulting company recognized by Forbes and Deloitte, partnered with Geomotiv to enhance their software capabilities. The team of 2-5 employees from Geomotiv developed a custom software solution that integrated seamlessly with Addepto's existing systems. This software featured project tracking, resource management, and real-time data analytics. It was designed with an intuitive user interface and went through a rigorous testing phase before launch. Key deliverables included a fully functional software platform, comprehensive documentation, and training sessions for staff.

Dzeya, a full-stack digital marketing agency, hired Geomotiv to build a custom marketing data infrastructure. The team of 6-10 employees from Geomotiv started with a discovery phase to analyze Dzeya's existing marketing stack and workflows. They then proposed the system architecture and mapped integrations with key data sources. The key deliverables included a data warehouse built on BigQuery, custom ETL pipelines, a data transformation layer for metric standardization and normalization, and a custom web dashboard for real-time performance insights. The tech stack included Python, Airflow, BigQuery, Looker Studio, and React.

Timeliness

4.8

Service Excellence

4.8

Value

4.6

Would Recommend

4.9

Awards

126737

2024

126739

2024