Geomotiv
visit site- $10,000+
- 250 - 999 employees
- Alexandria, VA
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
40%
20%
20%
10%
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
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
Service Excellence
Value
Would Recommend
Awards
2024
2024