Automate error detection and ensure high accuracy of your AI
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.
Hey Product Hunt Community 👋❤️
I'm Nikhil, the Founder of Future AGI.
After working in the AI space for the past 8 years, I realised a significant challenge: maintaining model accuracy in production. The first hurdle is knowing what errors occurred, which usually requires human-in-the-loop reviews. Humans go through every input/output pair to detect errors. But by the time this process is completed, AI apps start facing user drops and customer escalations. And as models scale, this issue only worsens.
When I spoke to hundreds of AI builders, I found that this was a universal pain point.
That’s why we created Future AGI.
Our Critique AI Agent helps detect errors in real-time, without humans in the loop. It provides AI teams with critical insights about errors, ensuring they get actionable data to improve accuracy. This frees up bandwidth and allows teams to focus on high-priority tasks.
Key benefits of Critique AI Agent:
👉 LLM as a judge can be unstable, but our Critique AI is reliable & deterministic.
👉 Set custom metrics in natural language to fit your specific use case.
👉 Detects errors in real-time without humans in the loop, saving time and costs.
👉 Ensures high accuracy and reliability as models scale, reducing the risk of user drops-offs.
👉 Gives AI teams peace of mind knowing no error goes undetected.
I hope you find Future AGI helpful. Please share your thoughts, experiences, and suggestions in the comments. Thank you for your support!
