BANGALORE, India—The Indian Angel Network has invested $1 million in embedded software tool developer Vayavya Labs to help the firm expand its toolset suite for electronic systems level design and bolster its sales and marketing efforts.
Using Vayavya tools, customers can optimize time, effort and cost involved in embedded software design and development, according to the company.
"Vayavya tools play a pivotal role in adding value by cutting down development, testing and debugging time at customer end thereby meeting the goal for go- to-market," said Indian Angel Network member Sharad Sharma.
Vayavya established the first automated device driver tool that minimizes the system development, validation and migration cycle times significantly and helps user organizations make significant recurring savings in cost and time.
The niche product development plan that Vayavya is working on will make it a significant player in the growing IP-led market.
Vayavya CEO R.K. Patil said he aims to build a valuable Indian company in system design tools and services and leverage the EDA space in the U.S. The company’s services business is focused on providing integration services, design services and solutions around the digital TV, IPTV and set top box domains.
The Indian Angel Network, founded in 2006, brings together successful entrepreneurs and CEOs from India and around the world who are interested in investing in startup and early stage venture.
DDGen has good support for Linux and WinCE. A few device classes are also supported on other operating systems like VxWorks.
If you need more information, feel free to drop us a email at: info at vayavyalabs dot com
Senior Architect, Vayavya Labs.
David Patterson, known for his pioneering research that led to RAID, clusters and more, is part of a team at UC Berkeley that recently made its RISC-V processor architecture an open source hardware offering. We talk with Patterson and one of his colleagues behind the effort about the opportunities they see, what new kinds of designs they hope to enable and what it means for today’s commercial processor giants such as Intel, ARM and Imagination Technologies.