AI Star Quantiphi Inks AWS GenAI Collaboration Agreement

Channel AI all-star Quantiphi signs a strategic collaboration agreement with AWS around generative AI as GenAI customer wins skyrocket in 2023.


Channel AI superstar Quantiphi has signed a strategic collaboration agreement with AWS to drive customer adoption of generative AI as Quantiphi launches new GenAI solutions in 2023 with demand skyrocketing.

“There are lots of opportunities that we’re seeing in GenAI,” Quantiphi’s co-founder, Asif Hasan (pictured), told CRN. “The previous generation of AI was focused on task-specific models. And each model had one and only one task. Generative AI flips that on its head, saying, ‘You can pretrain a model and then fine-tune the model for doing hundreds or even thousands of tasks.’ So it essentially democratizes a customer’s access to AI in a way that has not been done before.”

Quantiphi, which has been an AI-first engineering company for 10 years, believes there’s “massive opportunity because generative AI is able to mimic human levels of performance” in a broad variety of tasks, Hasan said.

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In terms of the new AWS collaboration agreement, Quantiphi will leverage GenAI services from the world’s largest cloud company—including Amazon Bedrock, Amazon Kendra, Amazon SageMaker, Amazon Textract and Amazon Titan—to power a Gen AI platform that allows organizations to boost worker productivity.

Some targeted GenAI use cases in the AWS agreement revolve around customer document processing, conversational search and text summarization. This year, Quantiphi has witnessed more than 300 GenAI customer opportunities, up from about 20 GenAI customer projects in 2022.

“So it’s more than a 10X increase,” Hasan said.

New GenAI Offerings

The Marlborough, Mass.-based solution provider launched three GenAI solutions in 2023, including adding generative AI functionality into Quantiphi’s flagship QDox platform that aims to change the way customers harness information from documents.

“Customers are saying, ‘Look, I want to be able to have a ChatGPT-like experience. But I don’t want to do it on all of the information that is available on the World Wide Web. That’s not useful to me. I want that experience on top of my own content repositories and knowledge bases,’” said Hasan.

“So as an example, I have a field engineer who’s going to repair an HVAC unit in the field. I need them to be able to talk to the manual in the way they’re talking to ChatGPT and get a way to diagnose it very easily and perform the 10-step process, etc.” he said. “It’s essentially boosting the productivity of knowledge through this knowledge access and synthesis.”

Quantiphi also launched its enterprise-ready GenAI platform on AWS, dubbed Baioniq, which elevates knowledge workers’ productivity by including AWS native services alongside Quantiphi’s technology. The platform applies GenAI to downstream tasks within specific industries.

The AI company also launched an immersive GenAI Advisory series, which is a curated four-day experience led by experts to not only provide comprehensive AI knowledge, but also offer hands-on expertise in GenAI around education, bi-directional information sharing and use case identification.

GenAI Use Cases That Are Winning Customer Deals

There are three other GenAI use case categories that are driving AI sales for Quantiphi, including code generation, code conversion and refactoring.

“So a customer says, ‘I want to write my specs in natural language. Then I want the system to either generate net-new code on the basis of my specs, or I’m sitting on my old legacy system and I want to modernize that system.’ So they need to go from a certain programming language to a more modern programming language,’” said Hasan. “So they say, ‘I want to refactor and I want to get rid of my technical debt. And I want generative AI to be able to do that.’”

Other successful GenAI use cases including using the technology to gain better insight from structured data and leveraging GenAI to automate steps in a process, such as invoice processing.

“With invoice processing, you have to have your purchase order, your contract, your invoice and you have to match attributes from one document to the other and make sure that everything is cross-validated before payment is made,” he said. “We’re using generative AI to automate large parts of steps in a process like that. Or generating a press release. Creating the first draft of a press release by giving prompts. Those are the types of tasks from an automation standpoint.”

Quantiphi was AWS’ 2022 Partner of the Year for AI/ML in North America.

With the new AWS collaboration agreement, Quantiphi said it is deepening its generative AI work by using AWS to tap into Amazon’s more than 25 years of developing and deploying AI and ML. AWS provides offerings to support every stage of AI and ML adoption—including infrastructure to run high-intensity workloads, tools to build AI, and purpose-built services and applications—to help businesses solve challenges quickly and provide more value for their customers through generative AI.

“We started the business 10 years back and [GenAI] was not even a vision at that point. I would call it a ‘hallucination’—no pun intended on the term ‘hallucination’ itself,” said Hasan. “The things in the market have converged around the idea that we started out with. So it seems super gratifying to be part of this journey.”