Dataeaze Systems

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Dataeaze Systems is a software agency founded in Pune, India in 2015 with fewer than 50 members. They specialize in big data consulting, cloud consulting, and AI solutions for clients that work in the industries of financial services, hospitality, and IT solutions.

Client Insights

Industry Expertise

Financial services

35%

Hospitality & leisure

20%

Information technology

20%

Advertising & marketing

15%

Telecommunications

10%

Client Size Distribution

Small Business (<$10M) 10%

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

Enterprise (>$1B) 60%

Common Project Size

$50K-$199K 4 projects

$10K-$49K 1 project

Clients

  • Anand Rathi Wealth Services

Highlights from Recent Projects

Overall Rating

4.8
9 Reviews

Dataeaze Systems was contracted by a multinational IT firm based in Japan to develop a data analytics and visualization system using AI and distributed computing tools. The aim was to seamlessly integrate AI technologies and automate most of the tasks. The team at Dataeaze was chosen based on their past experiences and willingness to innovate. The project involved requirement gathering and development using technologies such as Ansible, Docker, Apache Spark, Apache Hadoop, Delta Lake, and MLflow. The team consisted of five members, including three engineers and two senior executives.

Dataeaze Systems worked with a software analytics and automation firm to operationalize data processing functions during AI model building. The Director of Research at the firm found Dataeaze through a referral and chose them over others due to their reputation. The project involved developing data management activities including data versioning, cloud-based storage of heterogeneous datasets, and data automation. Communication was primarily conducted through virtual meetings with a team of 2-5 employees from Dataeaze.

Affirmo Technology, an AI, Data, Analytics, and IoT solutions provider, hired Dataeaze Systems for data management. The CEO and Co-founder of Affirmo chose Dataeaze based on their cultural fit, cost-effectiveness, and aligned company values. The project involved ingesting real-time IoT data to discover patterns that could optimize operations and efficiency. The key deliverables included a data mart, data organization, dashboards and reporting, real-time monitoring, and data governance. A team of 6-10 employees from Dataeaze was assigned to this project.

Timeliness

4.6

Service Excellence

4.7

Value

4.5

Would Recommend

4.9