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Before the rise of AI, Julia Kingsley remembers long hours spent poring over spreadsheets and numbers.

Now, as an NYU Stern MBA candidate and CEO of Context Data, she is determined to make sure no one else has to.

“If you can’t figure out where your data is, you can’t do anything else,” Kingsley said.

Since 2024, Context Data has used intelligent automation to streamline manual administrative work across the insurance industry. Designed for claims processors, third-party administrators and managing general agents, the platform takes on repetitive tasks while offering recommendations based on precedent cases. This accelerates workflows, minimizes the need for constant oversight and empowers teams to focus on higher-level, strategic decision-making. Every automated action is fully traceable and transparent, readily available for revisit at any time.

Unlike general-purpose models such as ChatGPT, Context Data is tailored to specific needs and workflows of each client. It adapts to user behavior over time and becomes more intuitive with use.

“You don’t have to learn AI — the AI learns you,” Kingsley said.

After graduating from Stern with a master's degree in accounting in 2019, Kingsley went on to work at PwC and Blackstone. But the drive to build something of her own brought her back to Stern for an MBA. During that same period, she met her co-founder, Jide Ogunjobi, a data engineer with a shared vision.

“We’re like yin and yang,” she said. “He thinks like a developer, I think like an end-user. We put that together and come up with the best solution.”

In its early stages, Context Data explored applications across industries. The team collaborated with BeatpulseLabs on music search automation and built a 24/7 AI chatbot for a premium outdoor furniture brand. But it was their first client — an Indiana-based roofing company looking to streamline its insurance operations — that revealed the platform’s true potential. The Context Data team quickly identified a white space with growing demand and little modern infrastructure.

“Before, we were acting more as a consulting firm, doing custom work based on individual companies,” Kingsley said. “Pivoting allowed us to develop a scalable product that addresses a widespread problem.”

This shift was strongly supported by Kingsley’s experience in this summer's cohort of the NYU Summer Launchpad accelerator. In particular, the customer discovery workshops pushed her to clarify the core problems Context Data was solving, moving from solution-first thinking to true product-market fit.

Looking ahead, Kingsley plans to raise a venture capital round to scale the company. Her vision is ambitious but grounded: to become the leading technology transforming insurance claim management and delivering real value across the industry.

“The moment when a customer’s eyes light up because we’ve solved their problem — that’s the best part,” Kingsley said.