The Solution
Verta provides LeadCrunch with a unified MLOps platform that addresses their most pressing deployment and operations issues.
Faster implementation of new ML models
Verta Inference allows LeadCrunch to easily deploy new models into production (batch, live, etc). “Previously, one of our main feature creation pipelines would take us 20 to 25 weeks,” says Alex Quintero, a Director of Data Science at LeadCrunch. “Once we brought Verta into the fold, that time cut in half. And it made it a lot easier to deploy and maintain our code.”
Accurate oversight of ML experiments
With model monitoring, experiment management, and a model registry, Verta’s MLOps platform supports the full model lifecycle. Verta’s intuitive experiment dashboard gave LeadCrunch’s Data Science teams confidence that they could get accurate, granular insights to the results of specific experiments.
Less time consumed by deployment and infrastructure
Verta freed LeadCrunch from the burden of worrying about deployment and infrastructure. “When you have a really small team like the one that we have, we can’t dedicate a lot of time and resources to the deployment of models,” says Brendan Homnick, LeadCrunch Sr. Data Scientist. “Verta takes all of that pain away.”
Before Verta, classifying our entire data universe would take days. Verta helped us redo our entire data universe in 20 minutes.”
JENNIFER FLYNN, PRINCIPAL DATA SCIENTIST, LEADCRUNCH