We reduce 80-90% of the labor in operations by interfacing with existing systems, replacing repetitive tasks with algorithms, and elevating work.
At OnCorps, we focus solely on achieving tangible results with AI. This is possible because we use cross-disciplined teams of machine learning specialists, computer scientists, and industry experts. Moreover, we dedicate our time to specific industry use cases.
Our sophisticated platform and high-end team have earned the trust of market leading firms. The OnCorps team and platform were capable of meeting their demanding analytic, process, and security standards.
With OnCorps, people and machines inform one another. We see five progressive stages to solving complex operational problems with AI. This starts with ensuring data is in the right condition to make algorithms work. Then, the algorithms themselves must be constantly tested, compared, and validated. Finally, urging people to change behaviors is the capstone of our solutions. This rigorous approach, coupled with deep industry expertise, has produced substantial results.
We focus heavily on building models based on scientific methods. That's why we partner with leading researchers at Yale, Harvard, and Oxford universities. We also regularly contribute to leading publications like the Harvard Business Review. This body of work has earned us industry awards and recognition.
