Triassic opens AI research centres in California, Toronto

Vinson Kurian Thiruvananthapuram | Updated on January 09, 2018 Published on August 05, 2017

Triassic Solutions, an engineering services and manufacturing automation company based in Technopark here, has opened artificial intelligence (AI) research facilities in Pleasanton, California, and Toronto.

These will cater to the healthcare, retail and semiconductor industries, says Aneesh Suhail, CTO, who has been appointed as head of Triassic's AI research centres.

Triassic had started operations in 2004 and core competencies range from industrial automation, remote monitoring and control, financial services, healthcare to retail industries.

Customer experience

In his new capacity, Suhail will also run the new centres as well as guide the research teams at the AI research facilities.

“Customers have been using our AI-based expert systems for medical diagnosis deriving enhanced customer experience as well as manufacturing automation,” Suhail said.

Triassic has started working with a world leader in visual computing based in North America. It also provides its platform to one of the first AI-aided medical imaging systems providers.

The Triassic solutions for retail industries focus on giving enhanced experience to both customers and workforce.

Machine learning and AI-based in-store solutions from Triassic are being used by one of the largest luxury vehicle retail chains. The new centers will help us to be near our customers and partners, Suhail said.

Generic platforms

Sivakumar, CEO, Triassic Solutions, said that together with its long-term partners, the company will develop industry specific AI-based solutions using its generic AI platforms from the new centres.

“Our experience in enabling real-time enterprises using software , hardware and AI platforms gives a unique value proposition to our partners and end customers,” Sivakumar added.

Triassic is also leveraging its extensive background in process control and industrial automation to provide unique solutions in manufacturing.

It has built a robust framework to collect IOT ( Internet Of Things ) and sensor data and turn them into actionable insights for the customers for semiconductor process control, Sivakumar said.

The new centers will bring together teams of multi-domain experts, combining AI, robotics and machine learning along with domain knowledge.

Published on August 05, 2017
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