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Kay.ai Secures $3M to Eliminate Data Entry Work in Insurance Operations

Insider Brief

  • Kay.ai raised $3M in funding led by Wing VC to scale its AI co-worker, which eliminates manual data entry and operational bottlenecks for insurance brokers and agencies.
  • Its adaptive AI automates complex workflows like submissions and renewals without APIs or major system changes, addressing a $300B BPO market and an impending labor shortage in insurance.
  • Founded by machine learning experts from Microsoft, Twitter, and Amazon, Kay.ai is already delivering major efficiency gains to early partners by saving time, cutting costs, and reducing errors.

PRESS RELEASE — Kay.ai, the AI co-worker designed to eliminate manual data entry work for insurance brokers and agencies, has raised $3 million in funding. The round was led by Wing VC, with participation from South Park Commons, 101 Weston Labs, and several angel investors.

“The U.S. Bureau of Labor Statistics projects that the insurance industry will face a shortage of nearly 400,000 workers by 2026,” said Vishal Rohra, co-founder and CEO of Kay.ai. “Despite this looming talent shortage, brokers and agencies still spend up to 80% of their time on paperwork, weighed down by archaic systems and misaligned incentives. We eliminate that burden and act like a digital co-worker that handles the most tedious tasks so their team can focus on high-value work.”

With AI co-workers, Kay introduces new technology that goes beyond traditional software or legacy RPA tools. These co-workers understand your process, interact with your tools on your behalf, and adapt with your preferences. This unlocks a whole range of workflows across submissions, renewals, and servicing that could not be automated before.

Enterprises often outsource these high-volume, repetitive tasks to BPOs, but these firms struggle with high employee turnover and performance management. This leads to slow turnaround times and costly human errors. Kay.ai is tapping into this $300 billion BPO market with AI co-workers that eliminate these operational inefficiencies. This funding will be used to grow the team and expand automation beyond quoting to a wide range of servicing workflows for insurance brokers, MGAs, and carriers.

Kay.ai was founded by immigrant entrepreneurs Vishal Rohra and Achyut Joshi, machine learning engineers with backgrounds at Microsoft, Twitter, Amazon, and Relyance AI. Rohra worked on AI initiatives across Azure, Xbox, MS Office, and Twitter, while Joshi specialized in data science at Amazon and Relyance AI. After participating in the highly selective South Park Commons Fellowship, they explored a range of AI applications before recognizing a massive gap in operational efficiency for the insurance back-office, which led them to build Kay.ai.

Today, Kay eliminates hours of manual data entry work every day for quoting tasks. Producers can simply forward an email or upload a PDF, and Kay will extract key details, enter data across carrier portals, and generate quotes without requiring lengthy onboarding or complex integrations.

“The insurance industry still runs on manual workflows that create massive operational bottlenecks and prevent companies from scaling efficiently, particularly with a labor shortage that is becoming more acute over time,” said Wing VC partner, Tanay Jaipuria. “Kay.ai’s approach is transformative — they’ve built an AI co-worker that plugs directly into existing systems and can perform the most time-consuming and repetitive insurance workflows. Vishal and Achyut bring a rare combination of deep machine learning expertise and a relentless focus on product usability, positioning them perfectly to redefine how insurance work gets done.”

Most automation tools rely on APIs and rigid workflows, which break down when the process or the website slightly changes. Kay learns and operates like a team member, adapting to different systems, workflows, and customer preferences, only getting better with time. Several early partners such as Johnson Insurance, The Fidella Agency, and Weed Ross Insurance are already seeing major efficiency gains:

  • Saves two hours of quoting time per application at 1/4th the cost
  • Automates workflows in under two weeks, compared to months-long API integrations
  • Eliminates manual errors and improves quoting accuracy

“I was surprised that Kay could handle such complex scenarios out of the box,” said Jessica Yarbrough, Chief Operations Officer at Johnson Insurance. “It is truly a set it and forget it system, with a high bar for accuracy.”

About Kay.ai

Kay is an AI co-worker designed to eliminate repetitive data entry and operational bottlenecks for insurance operations. These agents integrate directly into existing workflows to automate submissions, renewals, and servicing workflows without requiring APIs or major system changes. The company is backed by Wing VC, South Park Commons, and 101 Weston Labs. For more information, visit www.kay.ai.

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SOURCE

James Dargan
About the author
James Dargan

James Dargan is a writer and researcher at The AI Insider. His focus is on the AI startup ecosystem and he writes articles on the space that have a tone accessible to the average reader.

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