Forge enables companies to leverage design and engineering data to develop custom software applications and connected workflows for manufacturing, media/entertainment, architecture, and engineering.
simulationHub Web Services
simulationHub Web Service ( SWS) has become the first microservices based cloud platform to build thermal, fluid and hyper-localized weather applications. SWS provides more than 200 REST APIs.
Amazon Web Services
Amazon Web Services (AWS) is a secure cloud services platform, offering computing power, database storage, content delivery and other functionality to help businesses scale, grow and build cloud applications.
GE Predix
Predix platform is a comprehensive and secure application platform to run, scale, and extend digital industrial solutions. The platform delivers shared capabilities that industrial applications is required.
Our Approach
It's the guiding structure that allows us to ensure consistent quality, seamless execution, and collaborative relationships between our people and our customers.
Our Core Expertise
We have grown up with 3D technologies. We are building the 3D application from predicting missiles trajectories to designing a kitchen for the homeowner.
simulationHub now graduates to a full commercial release with three new, easy to use simulation apps specially crafted for designers. For us, designers are the focal point for our apps. In democratization of CFD, we believe the first step is to make it available to every design engineer.
If you have ever searched on google, ordered food online, browsed an item online, used a messaging app or composed an email, each and every time you came across a machine learning algorithm. A lot of people are interested in learning how to apply machine learning to solve some of their own problems. CCTech has expertise in CAD and Computational Geometry, and we keep experimenting with machine learning to solve problems in geometry. In this blog, we will demonstrate how to apply machine learning to solve a simple geometrical problem of 2D conic shape recognition. Readers will be able to understand various aspects of machine learning and also learn some useful tools. We hope this would serve as a nice tutorial for those who want to build machine learning applications of their own.
Machine learning (ML) techniques are now widely being used in almost all areas of application. Six months back, CCTech Research started investigating how we may use ML in the area of Design of Mechanical Systems. One of the key application we were particularly interested is in Control Valve industry. simulationHub's Control Valve Performer app is already calculating valve performance within minutes compared to weeks in traditional CFD way. But one still yearns for a solution that could predict the flow performance in less than 5 seconds. The machine learning app developed by CCTech research team is now able to predict the value performance within seconds. Read more about the app, what went into creating the app and the app workflow.