Learn how Thunai uses real-time data streaming to power agentic AI, achieving 70–80% L1 support deflection and cutting resolution time from hours to minutes.

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Thunai built an agentic AI platform for customer support that achieves 70-80% L1 support deflection and reduces resolution time from hours to minutes. The platform uses Confluent's data streaming infrastructure to continuously ingest live customer conversations, CRM updates, and user interactions into "Thunai Brain," a real-time knowledge base. By replacing batch processing with event-driven streaming, Thunai enables AI agents to act on fresh context across multiple channels (voice, chat, email, WhatsApp) while maintaining data quality and fault tolerance. The architecture uses Apache Kafka for real-time ingestion, MongoDB Vector DB for embeddings, and multiple LLMs for inference.

Thunai Automates Customer Support With AI Agents and Data Streaming

Transforming Live Customer Conversations into Agent Workflows

How Data Challenges Hindered Agentic Customer Support

Why We Use Confluent for Real-Time Context

GenAI and Agentic AI Use Cases Unlocked at Thunai

Business Impact: Better Experiences While Safely Automating 70-80% of L1 Support

Get Started: Build Agentic AI on Streaming Data