Feeling pressure to ship Machine Learning solutions into applications faster, engineering teams are facing challenges in working with or without a data science team.
Skymind helps engineering leaders and teams solve those challenges with a platform made for the stack and environment they already use.
Add text mining, computer vision, analytics, prediction, and other ML capabilities into Java applications, with the help of a built-in, enterprise-grade Deep Learning framework.
Own the ML lifecycle with a platform that guides you through ML development and deployment, and takes care of infrastructure so you can focus on the product.
Take ML out of the research lab and into real business applications. Perform model training and model functions on data from ERP systems, data warehouses, Kafka, Spark, Flink, and other sources.
Seamlessly convert Keras, TensorFlow, and other Python-based models that were developed by data science teams into production-ready models for Java applications. Track and collaborate on models in the process.