Canyon Code provides an enterprise-grade orchestration layer that sits above the model serving layer to monitor and manage multi-agent AI applications. Its core technology includes a dependence graph that tracks interactions and dependencies among agents, enabling real-time visibility into agent progress and behavior. The platform also manages contextual memory to ensure agents have needed information without bloating prompts and driving up costs. Using these insights, customers can orchestrate and schedule model calls for lower latency and greater efficiency, and set per-app or per-persona policies for trade-offs like latency, accuracy, and cost. Co-founder and CEO Ravikiran Gopalan is a three-time founder and the other co-founder, Aditya Akella, is a researcher with publications in machine learning and operating systems. Financially, the company has just completed a $5M pre-seed round led by Cota Capital with participation from Newbuild Ventures and Blackhorn Ventures.

Total raised

$5M

Funding rounds

1

Latest round

Seed

Latest activity

May 2026