Active.Ai selects AWS as preferred cloud provider

Active.Ai, a Singapore conversational AI (artificial intelligence) platform provider for financial services companies, has chosen Amazon Web Services (AWS), an Amazon.com company, as its preferred cloud provider.

AWS will power the delivery of conversational AI capabilities through Active.Ai's platform TRINITI. This platform for the financial services industry (FSI) runs on AWS to provide customers with a reliable, agile, and scalable experience. 

Paspulati says AWS has the AI advantage.

Parikshit Paspulati, CTO and Co-founder, Active.Ai, said AWS stood out as a cloud vendor as it was the first to launch AI-optimised virtualisation instances and now has a whole range of options for them, all accessible via an API.

“It's a lot of compute power,” he said, comparing the cloud service to an on-premise setup. “AWS allows us to launch instances and shut them down seamlessly. It saves a lot of money.”

Running on AWS’ fault-tolerant, highly performant infrastructure, Active.AI has created a solid foundation for TRINITI which enables customers, such as banks, insurance companies, and financial institutions to support voice-based transactions in the cloud.

Ravishankar says the company has operated on AWS from
day one.

“We built this platform which goes in the cloud, which delivers conversational experiences which integrate into (our customers') business logic and across all their customer interfaces,” said Ravishankar, CEO and Co-founder of Active.Ai. 

Moving TRINITI from on-premises to AWS has enabled Active.Ai to reduce the cost of its platform by five times for its customers. Leveraging AWS’ GPU infrastructure with Amazon Elastic Compute Cloud (EC2), Active.Ai performs advanced workloads like machine learning (ML), and quickly scales capacity during peak times, such as when testing new applications. 

Since the first day of operation on AWS, Active.Ai has been able to deploy new applications quicker while reducing costs and keeping financial data secure.

“By taking a cloud-first approach with AWS as our preferred cloud provider, we are giving our developers and data scientists access to the broadest and deepest portfolio of cloud services so that they can innovate with speed and at scale to build and deliver relevant financial services tools to our customers,” said Ravishankar. 

“Operating on AWS has allowed us to stay focused on driving innovation rather than spending our resources on maintaining our infrastructure. Their unmatched performance and scalability make it possible for us to deliver even more value to our customers as we uncover new ways to intuitively and intelligently engage with the customer on mobile, chat, or voice-enabled Internet of Things (IoT) devices using AI.”

"Cloud is becoming the new normal for the highly regulated financial services industry, and we are increasingly seeing AWS selected as the provider of choice for these risk-sensitive companies,” said Nick Walton, MD, ASEAN, at AWS.

“Active.AI is leading in applying machine learning to the way people interact and turn data into meaningful insights that can enhance customer experience. By taking advantage of AWS’ expertise in cloud infrastructure and its proven security, Active.Ai can accelerate its pace of innovation to help customers drive transformation in the financial services industry.”

Walton says cloud gives fintech companies an advantage.

Active.Ai joins a growing list of financial institutions running on AWS, including DBS Bank, Singapore Stock Exchange (SGX), and Asian fintech firm TrueMoney. 

Walton noted that fintech companies are able to build on top of AWS and “innovate at a speed that's not possible on traditional infrastructure”. “You can innovate and experiment much more quickly to deliver exciting experiences and capabilities,” he pointed out.

Walton added that AWS easily handles the very large data sets that AI requires. “To be able to move away from the physical constraints of infrastructure is really key,” he said. "It's the ideal platform to support AI and ML aspirations. That's why we see the vast majority of AI and ML workloads on AWS.”