Fresh developers and engineers have deep experience using Amazon Web Services (AWS), which offers computing, storage, analytics, and infrastructure as a service.

A powerful platform-as-a-service, Azure can easily scale to meet demand at a cost cheaper than traditional hosting, with wide variety of services to maximize cloud potential for machine learning.

Fresh leverages Google Cloud Platform, to streamline retail store supply chains, improve operational throughput in manufacturing settings, and help companies modernize their approach to data management.

TensorFlow allows engineers to build, deploy, and scale a variety of machine learning-based applications like computer vision, object detection and classification, language modelling, and voice.

Keras makes neural networks simple and accessible, allowing Fresh developers to provide seamless solutions for clients seeking to integrate the power of AI into their processes and workflows.

Fresh developers utilize PyTorch, developed by Facebook’s AI Research lab. This powerful machine learning library enables the team to create NLP and computer vision solutions for clients.

Fresh developers and engineers leverage Azure to build AI and ML software for companies looking to create machine translation, speech and object recognition, and data mining solutions.

Google’s solution provides comprehensive AI infrastructure, allowing Fresh developers to add conversational features, computer vision, NLP, and structured data into client applications.

Microsoft Project Bonsai speeds the creation of intelligent decision support and industrial controls. Bonsai helps engineers scale their industry expertise while deploying and managing explainable solutions.