CREAO raises fresh strategic funding to build self-improving Agent harness systems

Enterprise Agent platform CREAO has closed a new strategic funding round worth tens of millions of dollars, bringing its cumulative financing to more than $30 million. The company is now focused on self-iterating harness systems, a control layer outside the model that governs how an Agent plans tasks, calls tools, uses memory, selects models, and handles failures. CREAO said it has already put part of that automated correction loop into operation: after an Agent completes a task, the system checks the output, opens a ticket if a problem is found, and then uses AI to investigate the cause, write a fix, and verify the result. New versions are first tested on a small amount of real traffic, with automatic rollback if performance gets worse. The company had previously disclosed this system publicly. CREAO’s next step is to extend those improvements to more parts of the harness so repeated failures in the same tool or workflow can lead to broader execution changes that newly created Agents can reuse. It also plans to move some of that accumulated experience into model training through vertical post-training on open-source models, using lower-cost specialized models for common tasks and frontier models for more complex ones.