Plunify provides software tools that use machine learning and data analytics to solve chip design problems.
The company was founded in 2009 and started out with a cloud platform called EDAxtend which provided compute resources for chip design processes. Subsequently the analytics technology was made into a standalone tool for FPGA timing closure and optimization called InTime.
InTime is an expert software that solves FPGA design problems using machine learning and analytics. At the engineering level, InTime delivers better results and enables higher productivity. At the company level, it enables chip design companies to significantly accelerate product Time-To-Market and reduce development costs.
This is the first time that machine learning has been applied to chip design. Crucial to our approach is the ability to learn from previous results in order to provide better solutions for subsequent builds. Plunify’s technology further enables the following: - Spawn multiple builds in parallel to speed up data generation and learning - Intelligent adjustments of parameters helpful towards achieving design goals - Dynamic scaling of compute resources, enabling private datacenter and the public cloud use