Future AGI replaces manual QA for AI models with Critique Agents, eliminating human-in-the-loop methods. Set custom metrics to fit your unique needs and detect errors faster. Reserve human effort for critical tasks and scale efficiently as inferences grow.
Great Product. It has been very useful in making the AI model performance improve over period of time. Must try.
Great addition to our workflow! The custom metrics feature is a standout—makes error detection much more aligned with our specific needs. It’s definitely improved how we handle AI model development.
After trying to duct-tape together our own eval stack, we finally gave this a shot. It does what you’d expect: flags model issues, tracks performance, and keeps your iterations grounded in reality. Long overdue in this space.
One of the rare platforms that feels built by people who’ve actually shipped AI in production. The eval tooling is tight, feedback loops are well-designed, and there’s no fluff.
We’re finally able to quantify issues like hallucination, bias, and drift instead of just reacting to them after launch. This solves a real pain point for AI engineers.
The data side of AI often gets ignored until things break. Future AGI is one of the few tools that actually prioritizes evaluation and data feedback as core components. It’s not flashy — but it works, and it’s needed.
Future AGI has been a huge time-saver for us. The Critique Agents automate the QA process for our AI models, allowing us to catch errors quickly without manual checks. The ability to set custom metrics is really helpful, and it scales well as our workload grows. It’s made our workflow a lot smoother.
