Canyon Code Raises $5M Pre-Seed Round to Expand AI Workflow Intelligence Platform

Canyon Code, a startup based in Sunnyvale, California, has raised $5 million in a pre-seed funding round led by Cota Capital. Newbuild Venture Capital and Blackhorn Ventures also participated in the round.

The company said it will use the funding to expand its operations and accelerate product development.

Founded by CEO Ravikiran Gopalan, Canyon Code is developing a workflow intelligence layer designed for multi-agent AI applications. The platform focuses on improving how enterprise AI agents interact with large language models (LLMs).

The company’s system tracks dependencies between AI agents and the LLM calls made across applications. It also monitors the progress of each agent in real time. As a result, the platform can provide additional context to model-serving systems and support better orchestration of AI workflows.

In addition, the platform aims to improve scheduling, contextual memory management, and coordination between multiple AI agents. According to the company, this helps enterprises optimize application performance based on their operational goals.

The rise of multi-agent AI systems has increased demand for infrastructure that can manage workflow complexity and contextual accuracy. Canyon Code is positioning its platform to address these enterprise requirements.