Apres was built on the belief that better decisions start with better understanding. We believe that when the people closest to the problems that AI systems are trying to solve are given the power to weigh in on AI decision-making, well, those decisions get better. And more transparent. And understandable (finally) to anybody, no matter where they sit on the org chart. So we built a product that gives those people the ability to see, describe, and understand AI systems in natural language.
We've learned that by giving people easy-to-understand insights into their AI systems, plus the ability to validate or correct those insights, the result is a treasure trove of new data and predictive power. People have trained AI models in the past. Now we're taking the human-AI relationship to the next level. Understanding and performance, together at last.
If you, too, are interested in tapping the real promise of AI, drop us a line. It's an exciting moment for AI. And it's a worthy goal for the brightest minds in data science and business to rally around: AI people can trust. It's not just responsible and ethical. It's good business and it's the future of intelligence.