We engineered a Multi-Agent System that transformed the client’s tracking into a structured knowledge base.
Meet our client
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Client’s Challenge
A sports analytics provider capturing granular football data sought to expand its product portfolio by making complex match insights accessible through natural language. The aim was to let stakeholders ask questions directly and receive context-aware answers without losing analytical depth.
Our Solution
We engineered a Multi-Agent System that transformed the client’s tracking into a structured knowledge base. This setup enabled specialized agents to collaborate in retrieving and synthesizing insights with precision, whether summarizing player or team performance, comparing results across matches, or uncovering non-obvious patterns. We used agent‑supervised safeguards against hallucinations and included citations with direct links to the sources, ensuring accurate, verifiable answers.
Client’s Benefits
The solution introduced a GenAI-powered capability that strengthened the client’s position as an innovator. It removed manual data work, enabled faster decisions, and expanded the product portfolio.
