For years, Capital One has stood apart in the financial services sector by positioning itself as a technology company that happens to be in banking. Now, it has taken a bold step further by moving from building world-class technology to selling it.

This transformation mirrors a playbook made famous by Amazon. When the retail giant developed the infrastructure to support its e-commerce platform, it soon realized the broader applicability of its innovation. The result was Amazon Web Services: a cloud platform born from internal necessity that evolved into a game-changing business. In similar fashion, Capital One’s internal journey to the cloud, and the accompanying technological challenges it overcame, have birthed Capital One Software, a commercial arm offering its hard-earned solutions to other enterprises.

Building on 23 Years of Experience

Ravi Raghu, President of Capital One Software, has been with the company for more than 23 years. In that time, he’s led multiple businesses and served on the executive committee, reporting directly to CEO Rich Fairbank. His career has been defined by both entrepreneurial initiative and a focus on building high-performing teams. That combination proved critical when Capital One launched its software business in 2022.

“Right from the founding days of our company, we realized that data and technology have been at the heart of everything we do,” Raghu reflected. “When you peel back the onion, it always comes back to data.”

Capital One’s shift to the public cloud was pivotal. It wasn't just a move to modernize infrastructure; it exposed gaps in existing enterprise-grade data management tools. That led the company to build its own solutions and recognize the market potential of those innovations.

The Birth of Capital One Software

“Our journey of becoming a technology company that happens to do banking has been a decade in the making,” Raghu explained. “As we went all in on the public cloud, we realized we had to build capabilities around data management that just didn’t exist off the shelf.”

This internal necessity led to the development of Slingshot, Capital One Software’s first commercially available software product aimed at optimizing the use of Snowflake. Early validation came not just from internal success, but from Snowflake itself and its other enterprise clients.

“We kept hearing from Snowflake that the way we adopted their platform was one of the best they’d seen,” Raghu shared with a note of pride. “That gave us the confidence to speak with other companies, and we heard the same thing. They were craving the tools we had developed.”

Capital One as Alpha Client

In Raghu’s words, “Capital One is the Alpha client.” The software used internally is road-tested by teams led by Rob Alexander, Capital One’s longtime CIO, and then refined for commercial release.

“My job is to take that capability and morph it,” Raghu said. “We ensure it's not bespoke to Capital One, but applicable to any enterprise, with configuration flexibility and scalability built in.”

The Evolution to Data Management and Security: Introducing Databolt

While Slingshot was focused on Snowflake optimization, conversations with early users revealed another pressing challenge: data security. This insight led to Capital One Software’s second product, Databolt.

“There’s a tsunami forming, and it’s driven by three macro forces,” Raghu said. “The rise of data breaches, increasing privacy regulations and the explosion of generative AI.”

Databolt’s primary innovation lies in tokenization. As Raghu described it, “Instead of locking away sensitive data, tokenization gives you a surrogate that preserves format but is indecipherable. That means your systems and models work seamlessly without compromising security.”

This isn’t just a theoretical advantage. Capital One had already adopted tokenization at scale, with over 100 billion operations per month. Their own experience, including lessons learned from a prior breach in 2019, informed how to build a commercial-grade security product.

“When that breach occurred, we were grateful we had already started our tokenization journey,” noted Raghu.

Supporting Generative AI at Scale

Raghu sees a major role for Databolt in enabling secure AI adoption.

“Traditional security says ‘lock everything down,’ but generative AI demands access to as much data as possible,” he underscored. “With tokenization, you can let your models learn without actually exposing the sensitive data.”

Raghu predicts that AI’s rise will make robust, adaptable data security more essential than ever. “We believe tokenization will be what enables generative AI to scale responsibly,” he said.

Early Customer Success

Among Databolt’s early adopters is Early Warning Services, best known as the organization behind Zelle, the service that enables individuals to electronically transfer money from their bank account to another registered user's bank account. With a complex, multi-bank data environment, they needed top-tier security and performance. According to Raghu, “They’ve been blown away by our performance.”

Capital One’s existing relationships through Slingshot have also opened doors for Databolt, offering a natural entry point for further adoption.

What Comes Next

Looking ahead, Raghu envisions a suite of tools across the entire data lifecycle, which might include data publishing, governance, access control and infrastructure management.

“We're deeply tuned into customer feedback,” he said. “That’s what led to Databolt, and it's how we’ll decide what comes next.”

Though Capital One is just getting started with its commercial software journey, the ambition is clear: to turn its internal expertise into external impact, helping enterprises navigate complex data environments with confidence.

A Virtuous Cycle

“We [at Capital One Software] stand on the shoulders of all the tech transformation that Capital One has done,” Raghu reflected. “Now we get to build for the world. And as we learn from the world, we bring those insights back to strengthen Capital One. It’s a virtuous cycle.”

Peter High is President of Metis Strategy, a business and IT advisory firm. He has written three bestselling books, including his latest Getting to Nimble. He also moderates the Technovation podcast series and speaks at conferences around the world. Follow him on Twitter @PeterAHigh.