Source proof for Bundesliga builds Captain, an agentic AI companion for fans, on Amazon Bedrock

…s most fans would never find on their own. That’s why Bundesliga built Captain. Captain is an agentic AI companion built by Bundesliga Media and embedded inside the official Bundesliga app . It’s a single conversational interface for everything a football fan needs, f…

…Captain, is infusing live match experiences with personalized fan intelligence. Embedded in the official Bundesliga app and built on AWS data and AI services, including Amazon Bedrock, S3 Tables, and Athena, Captain uses a multi-agent architecture to answer fan questions in natural lan…

…Claude Sonnet 4 by Anthropic in Amazon Bedrock for higher reasoning capability. Roughly 45% of fan questions qualify for the more economical Nova Pro path. A prompt builder then assembles a tailored prompt for the selected model, inclu…

…raightforward questions to Amazon Nova Pro for its cost and latency advantages, while medium and complex questions are handled by Claude Sonnet 4 by Anthropic in Amazon Bedrock for higher reasoning capability. Roughly 45% of fan questions qualify for the more economical Nova Pro path. A p…

…only the database schema tables needed for the question’s type and complexity. This dynamic approach delivered a 35% reduction in chat assistant service costs while maintaining the same answer accuracy. Although the chat-based service answers questions fans ask, Captain’s research…

…s most fans would never find on their own. That’s why Bundesliga built Captain. Captain is an agentic AI companion built by Bundesliga Media and embedded inside the official Bundesliga app . It’s a single conversational…

…ion built by Bundesliga Media and embedded inside the official Bundesliga app . It’s a single conversational interface for everything a football fan needs, from live stats and historical trivia to tactical analysis and video highlight…

…ion built by Bundesliga Media and embedded inside the official Bundesliga app . It’s a single conversational interface for everything a football fan needs, from live stats and historical trivia to tactical analysis and video highlights. But Captain doesn’t wait to be asked. It continuously analyzes milestone moment…

…dn’t just outscore the legends of 1971–1972, they also conceded 11 fewer goals. These are insights most fans would never find on their own. That’s why Bundesliga built Captain. Captain is an agentic AI companion built b…

…ore most in the final 15 minutes?”, the service employs a text-to-SQL workflow: a large language model (LLM) converts the question into a structured database query, Amazon Athena executes it against Bundesliga’s statistical data stored in Amazon S3 Tables , and a second LLM call turns the raw query results into a conversational, natu…

…’s ability to reason over statistics and decades of historical context at once. The research service is built as an autonomous agentic loop using the Strands Agents SDK with Amazon Bedrock , designed to run on Amazon Bedrock AgentCore for production-scale execution. W…

…receive a polite refusal. Output grounding – After the AI generates a response, a second guardrail checks that the answer is factually grounded in the retrieved data and relevant to the question. This reduces the risk of hallucinated or off-topic answers. Conclusion Bundesli…

…Claude Sonnet 4 by Anthropic in Amazon Bedrock for higher reasoning capability. Roughly 45% of fan questions qualify for the more economical Nova Pro path. A prompt builder then assembles a tailored prompt for the selected model, inclu…

…only the database schema tables needed for the question’s type and complexity. This dynamic approach delivered a 35% reduction in chat assistant service costs while maintaining the same answer accuracy. Although the chat-based service answers questions fans ask, Captain’s research…

…t on AWS data and AI services, including Amazon Bedrock, S3 Tables, and Athena, Captain uses a multi-agent architecture to answer fan questions in natural language and proactively surfaces and delivers insights to fans during matches in real t…

…using Amazon Nova 2 Lite . Based on this classification, a model routing layer directs straightforward questions to Amazon Nova Pro for its cost and latency advantages, while medium and complex questions are handled by Claude Sonnet 4 by Anthropic in Amazon Bedrock for higher reasoning capability. Roughly 45% of fan questions qualify for the m…

…ge language model (LLM) converts the question into a structured database query, Amazon Athena executes it against Bundesliga’s statistical data stored in Amazon S3 Tables , and a second LLM call turns the raw query results into a conversational, natu…

…only the database schema tables needed for the question’s type and complexity. This dynamic approach delivered a 35% reduction in chat assistant service costs while maintaining the same answer accuracy. Although the chat-based service answers questions fans ask, Captain’s research…

…Stats agent in Captain’s chat assistant How the Bundesliga chat-based app works At the heart of Captain lies the chat-based service, which transforms natural language fan questions into data-driven answers in real time. When a fan asks a question like “Which teams score most in the final 15 minutes…