Canvas

Canvas provides a continual-learning layer and open-source tools for improving AI agents in production, focusing on post-training evaluation, infrastructure, and observability to create self-improving agents. It positions itself as both an applied-research lab and a product studio for enterprise agent enhancement.

Canvas offers a continual-improvement layer for AI in production, handling post-training processes, evaluations, infrastructure, and observability for agents. It includes an open-source library (Meta-Agent) that automatically improves agent harnesses from production traces and frameworks for reward modeling and judge evaluators to optimize agent performance. The pricing page indicates a credit-based model with free credits to start and scalable paid tiers, suggesting a self-serve SaaS approach with usage-based credits.

Who it’s for: Enterprises and teams deploying AI agents in production that require post-training improvements, evaluation harnesses, and observability for continual learning.

Pricing page with free credits and multiple paid tiers; references to open-source library and research collaboration; training and collaboration inquiries mentioned.