Back to school means the school cafeteria is open for business. The lines are long, children only get thirty minutes to eat, and resources are limited. This time of year always brings us back to the problem we were originally trying to solve.
At the height of the pandemic, schools were still serving millions of students up to three meals a day. It became clear that to protect front line workers, including cafeteria workers, there needed to be a change in how food was being distributed.
Suresh Yalamanchili was called in as a solutions architect to begin to understand how computer vision could be applied to the challenge. After months and slow gains using existing technology solutions, he knew there had to be a better way.
With twenty years of automation, machine learning, and IT management, as well as serving as a technology executive, Suresh decided to attack the problem head on. Suresh launched Amniscient in 2020 with the goal of making a computer vision application that was scalable, accurate, and cost efficient, without relying on manual annotation or thousands of images per object.
The years that followed were dedicated to creating a proprietary AI engine that solved all of the problems Suresh had observed as a solutions architect. Scalable infrastructure, reducing the number of images per object while still maintaining bench-marked accuracy, and finally models that cost a fraction of the price and eliminated manual annotation. The result is Amnsicient, where anyone can train a model in hours, implementation requires a single line of code.
We can't wait for that full circle moment, when we are back in action at the lunch line, watching the traditional cafeteria makes way for the cafeteria of the future.
Every enterprise is unique, the data, the users, the customers. Amniscient is built to solve real world challenges for real world businesses, with a single line of code. We can't wait for that full circle moment, in a few weeks we will be back in action at the lunch line, watching the traditional cafeteria make way for the cafeteria of the future.