As enterprises deploy AI agents across mission-critical functions, many are discovering that AI autonomy comes at a cost. Sometimes a high one. From hallucinated policies to rogue chatbots offering illegal advice, AI’s promise of efficiency can quickly unravel when left unsupervised. San Francisco-based startup Mixus thinks that the answer isn’t full autonomy, but a hybrid model: keep humans in the loop, not as a fail-safe, but as strategic collaborators.
Closing the Reliability Gap
Co-founded by Elliot Katz and Shai Magzimof, who previously pioneered human-in-the-loop systems in autonomous vehicles, Mixus has introduced a platform designed for what it calls “colleague-in-the-loop” AI. Unlike fully autonomous agents that handle tasks from start to finish, Mixus agents are pro
Mixus is Making AI Work With Human Oversight… For Now
- By Mukundan Sivaraj
- Published on
As AI grows more sophisticated, the thresholds for human intervention will likely recede
