The CoBuilders: AI agent proof-of-concept
"Partnering with Tech 42 on our AWS Agent Proof-of-Concept has been an excellent experience. Their team delivered exactly what we needed — a modernized AWS-based architecture that gives us confidence in scaling our AI-powered SCRUBgpt platform and sets the foundation for our broader roadmap at The CoBuilders.
The technical expertise was outstanding. Tech 42 was able to clearly explain complex details and design an architecture that not only solved our immediate scaling challenges but will also support our long-term product vision. The coordination and communication throughout the engagement were equally strong — Slack updates, well-scheduled meetings, and the team's flexibility made collaboration seamless.
This project has given us both the tools and the confidence to move forward with the next phase of our AI journey at The CoBuilders. We're very pleased with the results and look forward to continuing our partnership with Tech 42."
Michael Nelson
Founder & CEO
Project summary
CoBuilders needed a scalable AWS architecture for SCRUB, their AI-powered platform serving cleaning professionals. The platform generates marketing content, pricing recommendations, and client communications, but required a production-ready foundation to handle growth. Tech 42 designed and deployed a conversational AI agent on AWS Bedrock with LangGraph for orchestration, OpenSearch for vector search, and ECS for containerized deployment. Infrastructure-as-code using Terraform made the architecture reproducible and maintainable. The POC included API endpoints, monitoring via Langfuse, and technical documentation. CoBuilders gained a modernized AWS-based architecture that solves immediate scaling challenges and supports their long-term product roadmap. The engagement demonstrated how to move from prototype to production-grade agentic AI infrastructure with enterprise monitoring and knowledge base integration.
