Lotus Labs’ Padme machine learning platform launches at US Open

machine learning

Lotus Labs Inc., a Chandler-based tech startup that helps companies integrate machine learning, launched its Padmé platform at the US Open. 

It seems Daniil Medvedev and Emma Raducanu weren’t the only big winners at the tournament this year. 

Lotus Labs specializes in both machine learning and edge computing, and its Padmé platform utilizes machine learning to aggregate and analyze data to solve problems in companies in a number of industries.

“If it’s digital, we’ll build it,” boasts the company’s website.

Companies can leverage a lot with AI technology to optimize operations, noted the company’s founder and CEO Anjali Nennelli. 

Nennelli thought the US Open was a great opportunity to launch the SaaS-based Padmé platform. The company installed Padmé on the many cameras employed for the event to monitor and process data, like stadium capacity, in real-time. 

Machine learning
Lotus Labs founder and CEO Anjali Nannelli at the US Open in September

The Lotus Labs team was then able to communicate with US Open leaders useful information, like which sections were filling up too fast for example, so they could make appropriate changes. 

“I call this a success because every member of the US Open team was so impressed that they are inviting us back,” Nennelli said. 

Nennelli is a self-proclaimed tech enthusiast and serial entrepreneur. Founded in 2015, Lotus Labs is her third venture. She’s been able to bootstrap the company herself thanks to her previous companies’ successes. She attributes the growth of Lotus Labs to a talented team and the ability to continue to invest back into the company. 

She recognizes that there are several competitors in this space, but she says her company stands out because they “can go places others can’t. AI requires a lot of processing power, she says, but Lotus Labs has optimized their models and processes and can utilize edge devices to get results. 

Now the company plans to venture into other verticals. She calls Padmé “vertical agnostic,” able to easily transfer it to help businesses in a variety of industries. 

They are confident in their sports industry and retail applications and are looking for opportunities for use cases in healthcare. And so far, Nennelli is having a lot of fun.  

“I can’t stop loving the technology,” Nennelli said. “I can’t stop exploring the technology.”