Unify

Unify is a continual learning platform for AI agents in production. Rather than leaving an agent frozen at deployment and fixing its mistakes by rewriting prompts, Unify post trains the agent's underlying model on its own production work, so corrections, retries and outcomes become updates to the model's weights. It is built for engineering teams that already run agents in production and want them to improve on the job. The workflow has four steps. Capture streams the agent's traces, including tool calls, corrections, retries and outcomes, through a single SDK call. Score turns those signals into rewards and verifiers specific to the customer's domain. Train applies reinforcement learning to update the model continually on its own work. Ship runs every new checkpoint against the customer's eval suite and a forgetting check, and the customer approves what goes live, so no update reaches production without passing the team's own tests. Pricing is not published. There is no pricing page, and access starts with a conversation with the team. The company publishes research on post training agents in production on its blog, including a September 2026 post on its Continual ARC work. The site currently presents this continual learning service as its only product, so buyers should confirm scope, supported models and deployment options with the team.