Case Studies

Empowering Smarter Investment Decisions Through Technical Due Diligence
This case study highlights how a seed-stage venture capital firm leveraged our technical due diligence to confidently invest $2.5 million in Gumloop, a no-code automation platform. By benchmarking against competitors, conducting usability testing, and simulating real-world workflows, we validated Gumloop’s technical scalability, roadmap feasibility, and market readiness. Key outcomes included a 30% reduction in campaign setup time, a 40% boost in ARR, and seamless integration with enterprise tools. Our hands-on evaluation reinforced Gumloop’s potential to disrupt the workflow automation market, delivering both investor confidence and enhanced operational efficiency.

Scaled Data Platform and Ingestion layer
Scaling Data Engineering for the Client: Integrating Diverse Data Sources and Implementing Real-time Processing with Kafka, Spark, and Airflow

Enhancing Data Integrity and Automation: A Scalable Solution for Sponsorship Analytics
In the ever-evolving world of sports sponsorship analytics, maintaining data integrity and automation is crucial for effective decision-making. Our client, a leading sponsorship intelligence platform, identified the need for a robust, scalable, and automated data quality framework to enhance data accuracy and streamline operations. To address this, our team developed a comprehensive data quality and automation system, ensuring reliable insights and efficient data handling across platforms.