Anton Pustovoy
UAData Engineering We hired Sphere to tackle our data challenge: creating a machine learning classification model that could make sense of our data. We needed an accurate model but weren't sure it was even possible given our complex dataset. They started by cleaning up our data with automated scripts, then moved on to experiment with various NLP models. Using Python, they found the perfect fit for our needs and fine-tuned it to achieve expected accuracy. The final deliverable was an API integrated into our systems. They ensured everything from the API to training scripts was transferred to our cloud environment, using Kubernetes and CircleCI for a setup.
Moshe G
USOur analytics startup was assessing… Our analytics startup was assessing replacing human-based data with machine-based web extraction technology. We hired Sphere Partners to conduct a feasibility study. The Sphere team exceeded our expectations by offering solutions that were not part of the original scope of the project. These solutions would help us reduce cost, the time it takes to collect data, and automatically included new data points in the collection pool, while maintaining the accuracy of the collected data.
Mark Friedgan
USGreat company -