Focused Data & AI Projects
To Go From Zero To One
Whether you’re a startup developing your first product or a big company launching a new initiative, you need to build tech to get it into the real world quickly.
Our team is set up up for that focused sprint. We com in to understand what you need to build, get it up and running, and give it back to you to operate.
Read on to explore how we’ve partnered with companies to solve their hardest problems in AI, data science, and engineering.
TRUSTED BY LEADING EXECUTIVES AND INVESTORS
How do you identify cancer nodules from X-rays with superhuman performance?
Imidex had invested heavily in building a robust dataset of X-rays; however, their team struggled to develop a model that would meet FDA standards. Echelon DS built a computer vision lung cancer detection model that surpassed FDA medical device standards, ultimately leading to 510k FDA approval for Imidex’s VisiRad™ XR product.
How do you use truck cameras to locate garbage cans in every neighborhood in America?
Rubicon (NYSE: RBT) needed computer vision models to precisely locate garbage cans on collection routes, including those not yet explored. Echelon DS built production-ready computer vision models that formed the bedrock of this strategy, which evolved into Rubicon’s Fleet Technology Business Unit and sold for ~$100M in 2024.
How do you automatically identify every unique vehicle that enters and exits a parking lot?
FlashParking partnered with Echelon DS to build and launch the parking and smart city application industry's first ever general-use unique vehicle recognition system. FlashParking plans to scale this product, built on the latest machine learning models and trained on generative Al data, to over 16,000 locations across North America.