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Kay AI

AI coworker that eliminates manual data entry for insurance brokers across quoting and renewals.

3.8 Automation
3.8 Good 3.8

Bottom line: AI coworker that eliminates manual data entry for insurance brokers across quoting and renewals.

Targets a narrow, well-understood pain point (insurance data entry) rather than a generic automation promise No published pricing at all, so brokers cannot estimate cost without a sales call
Reviewed by Challenging Voice Editorial · Updated Aug 2026 How we rate
PricingContact for Pricing
Free planNo
CompanyKay.ai
PlatformsAPI, Web
Best forAutomation
Founded2023
Visits29
Last reviewedAug 2026
UpdatedAug 2026
Ask AI about Kay AI ChatGPT Claude Perplexity

Overview

Kay.ai is an insurance operations platform founded in 2023 by Vishal Rohra and Achyut Joshi, machine learning engineers with backgrounds at Microsoft, Twitter, and Amazon, based in Brooklyn, New York. The company raised $3 million in seed funding led by Wing VC in March 2025, following a period in the South Park Commons Fellowship where the founders explored AI applications before settling on insurance back-office automation.

Kay functions as what the company calls a digital coworker rather than conventional workflow software: a broker forwards an email or uploads a PDF, and Kay extracts the relevant details, enters data across carrier portals, and generates quotes or complete service requests without a human retyping information between systems. The company reports the automation cutting close to 80% of administrative spend per workflow and roughly two hours per application compared to manual processing.

Kay AI is built for insurance brokers and agencies handling submissions, quoting, renewals, and servicing at a volume that manual data entry cannot keep up with. Pricing is not published as a fixed rate; the company prices against the value automated for each workflow rather than per-seat SaaS licensing, so cost requires a direct conversation.

Key features

  • Automated data extraction from emails and PDFs into carrier portals
  • AI-generated insurance quotes and service requests
  • Cross-carrier-portal data entry without manual re-keying
  • Workflow automation for submissions, renewals, and servicing
  • Reported close to 80% reduction in administrative spend per automated workflow
  • Deployment timelines under two weeks versus months for traditional API integrations

Screenshots & demo

Demo video

Screenshots

Kay AI screenshot 1

Pricing

Kay AI uses custom pricing. Contact their team for a quote based on your needs.

  • Pricing modelContact for Pricing
  • Starting priceCustom
  • Free planNo
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Pricing is provided as a guide. Check the official site for the latest plans.

Pros & cons

Pros

  • Targets a narrow, well-understood pain point (insurance data entry) rather than a generic automation promise
  • Founders bring direct machine learning backgrounds from Microsoft, Twitter, and Amazon
  • Value-based pricing ties cost to measurable time savings instead of a flat license fee regardless of usage
  • Backed by a $3M seed round from Wing VC, a fund with insurance-adjacent portfolio experience

Cons

  • No published pricing at all, so brokers cannot estimate cost without a sales call
  • Narrow focus on insurance operations means it has no use outside that specific vertical
  • Young company (2023) with a small seed round, so long-term platform stability carries real risk
  • Relies on integrations with carrier portals that Kay does not control, exposing it to breakage if those portals change

Frequently asked questions

What is Kay AI?
Kay AI is an automation tool. AI coworker that eliminates manual data entry for insurance brokers across quoting and renewals.
Is Kay AI free?
Kay AI does not offer a free plan.

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