Making accessibility measurable, trackable, and provable.

Companies can't reliably answer a simple question: "Is our app accessible today?" Traditional tools like Lighthouse and axe run once, detect roughly 30% of real barriers, and don't track changes over time. They parse HTML but can't see the interface the way a user does.

Overlay solutions promise instant compliance, but they don't fix underlying issues. Over 600 accessibility experts have signed statements that overlays don't meet legal requirements. 25% of accessibility lawsuits target sites already using them.

The result is a critical gap between "we ran an accessibility check" and "our app is actually accessible to everyone." Teams have no continuous monitoring, no regression detection, and no evidence of their remediation efforts.

We treat accessibility as an observability problem, not a one-time audit.

Kaveia renders your application and analyzes it with AI computer vision, seeing the interface the way a real user would. Instead of parsing HTML tags, we evaluate the actual visual experience: layout, contrast, readability, and navigation flow in context.

Our AI is trained on feedback from real users with disabilities. This means we detect barriers that code-level scanners miss: unintuitive layouts, unreadable typography, and insufficient contrast that only becomes apparent when viewing the full screen.

Every scan generates an accessibility risk score based on real-world user impact, not just WCAG criteria. We track changes over time, detect regressions automatically, and generate compliance evidence ready for audits and legal requirements like the EAA and ADA.

Kaveia is built for SaaS companies and product teams building web applications, especially those selling to enterprise or public sector clients who need to demonstrate compliance.

It's a strong fit for teams that ship frequently, work with complex frontends, and need continuous proof that their product is accessible, not just a one-time audit report that expires with the next deployment.

The product is currently in development and available via early access. We're working closely with early users and people with disabilities to shape the platform and validate our approach.

Built by an engineering team based in Poland with deep experience in web and mobile development. Our founder previously worked at American startup building communication tools for deaf and hard-of-hearing users, giving the team direct, firsthand understanding of digital accessibility challenges.

We work closely with people with disabilities who experience accessibility barriers every day. Their perspective directly shapes our product and forms the foundation of our AI training data.

We're building Kaveia iteratively, informed by real accessibility problems and direct feedback from users with disabilities.

Join early access to help shape what comes next and be among the first to monitor your app's accessibility continuously.