A multi-agent system that turns fragmented data into decisions

Nimble.LA partnered with Camber, a fast-moving startup, to build a multi-agent AI system and data pipeline that unified operational data across CRMs, communication tools and documentation platforms, delivering real-time insights for sales and operations teams.

Camber struggled with disconnected data sources and heavily manual reporting. KPIs were scattered across CRMs, internal databases, Slack and documentation systems, and the CRM was cluttered with outdated or duplicate records, making it difficult for sales teams to engage high-potential leads.

• CRM data cleanup and enrichment (HubSpot, Clay, Python)
• AI agent system design (LangChain, LangGraph, OpenAI APIs)
• Custom ETL pipeline development (Python, Pandas)
• Multi-source KPI extraction and synthesis
• Iterative, modular integration across systems

Nimble.LA engineered a scalable multi-agent system and intelligent data pipeline that automated KPI tracking and surfaced high-value leads for outbound engagement, on a modular architecture built for ongoing AI and automation initiatives.

• 0% CRM duplication: clean, enriched data with zero redundancy
• Prioritized leads delivered to reps
• Hours of manual cross-platform KPI synthesis eliminated