"We partnered with Tech 42 to deliver a proof of concept for an AI-powered conversational agent built on AWS. The engagement focused on enabling natural language interaction with Revnue’s asset and contract lifecycle data using an agentic SQL approach, allowing users to query complex PostgreSQL-backed data through simple conversational prompts.

The solution leveraged AWS-native services including Amazon Bedrock, Bedrock Knowledge Bases with OpenSearch, LangGraph-based agent orchestration, and ECS-hosted APIs with observability through Langfuse. The architecture and codebase provided a clear, well-structured foundation that helped inform our internal technical decisions and next-phase planning.

Throughout the engagement, Tech 42 demonstrated strong technical execution, flexibility, and responsiveness. Communication was clear and effective, and the team was proactive in asking the right questions to understand our platform and constraints. Overall, the project successfully met its technical objectives and established a solid foundation for evaluating a future production implementation."