AI-assisted accessibility scanning for WCAG and EAA compliance.
Overview
Synli is an AI-assisted accessibility scanning platform that helps organizations identify and remediate WCAG and EAA compliance issues. By combining automated checks with AI-driven vision analysis, it distinguishes between confirmed findings and items requiring human review. The platform streamlines the creation of accessibility statements, offering direct integration with workflows like the Norwegian uustatus.no portal and various developer coding assistants.
Founded year:2024
Founder:Eivind Pihl Martinsen
Team size:2-10
Popularity:100+ clients
HQ:Oslo, Norway
Status:Active
Funding status:Bootstrapped
Revenue source:Subscriptions
Customer type:B2B
Pricing:Subscription
Tech stack:Playwright, axe-core, Google Vertex AI, Python, React
Platform:Web
Integrations:uustatus.no, Cursor, Claude Code, GitHub Copilot, Jira, Slack, Microsoft Teams
Founder story
Synli was founded with the mission to bring more accuracy and transparency to digital accessibility compliance. Based on an AI-assisted scanning methodology, it addresses the common industry problem where automated tools over-promise on compliance. The company focuses on the European market, specifically aligning with EAA and WCAG standards to help teams maintain valid accessibility statements.
What it does
Performs automated WCAG 2.1/2.2 AA scanning using axe-core and real-browser simulation to identify accessibility barriers like keyboard navigation failures or missing labels
Uses AI vision models to evaluate content quality, such as confirming whether image alt text actually describes the visual content
Provides calibrated confidence scores for issues, separating deterministic automated findings from those requiring manual human judgment
Offers structured Markdown and PDF/CSV exports that can be fed directly into AI coding assistants like Cursor or GitHub Copilot for remediation
Drafts accessibility statements and integrates directly with official regulatory reporting workflows, such as uustatus.no.
Who it's for
Accessibility Professionals
Web Development Teams
Public Sector Organizations
Compliance Officers
Why it works
Transparent methodology builds trust by clarifying that automation only detects 30-40% of issues, reducing over-reliance on black-box tools
AI-assisted analysis significantly reduces the time spent on manual auditing by flagging items that specifically need a human eye
Real-browser scanning through Playwright ensures that dynamic states, authenticated pages, and complex interactions are tested accurately
Regulatory alignment with WCAG, EAA, and EN 301 549 standards ensures findings are legally relevant for the user's specific region and sector
Developer-friendly outputs allow for seamless remediation by feeding structured reports directly into modern AI-driven coding environments.
Growth strategies
Expanding support for international accessibility regulations beyond the initial focus on Nordic/EU standards.
Developing deeper integrations with CI/CD tools and project management software like Jira to embed accessibility into the dev lifecycle.
Positioning as the 'honest' alternative in the accessibility market by being transparent about the limitations of automated testing.
Targeting public sector organizations with automated compliance reporting features tailored to government- mandated portals.
Alternatives
Comparison overview
Synli differentiates itself by explicitly separating automated findings from human-review-needed items and providing localized reporting for EU regulations, whereas most competitors rely on proprietary black-box scoring that often inflates compliance claims.