As an early adopter of the TensorFlow machine learning framework, we are experienced TensorFlow system integrators. Quantiphi has leveraged the TensorFlow platform to deliver a wide variety of end-to-end ML workflows for mission-critical business applications at scale

Quantiphi understands the nature of data and industry constraints. For organizations that may involve using machine learning in resource-constrained environments, like embedded and mobile applications, Quantiphi has used TensorFlow Lite’s model compression capabilities to achieve low inference latency without sacrificing model performance

From using TensorFlow’s expressive Symbolic and Imperative APIs for developing novel neural network architectures, to authoring serving pipelines for large-scale workloads, Quantiphi is able to efficiently translate state-of-the-art research into production-ready solutions allowing businesses to harness the power of the latest advances in AI and ML