CollectivAlly is an accessibility thinking platform that bridges the gap between automated testing tools and full user research by providing AI personas informed by inclusive research with disabled and neurodivergent people. Teams can review real user journeys through different accessibility lenses—such as screen reader, keyboard-only, low vision, and cognitive processing perspectives—at any stage of the design process. The platform prepares teams for better conversations with real users rather than replacing them, and it does not charge per page or scan.
Funding
Funding not disclosed
Founders
Product
Problem
Automated accessibility tools can catch broken code like missing alt text or contrast ratios, but they cannot tell teams what an experience actually feels like to a disabled or neurodivergent user. Full inclusive research with real users is the gold standard but is slow and resource-heavy, leaving teams without a practical way to bring lived experience into fast-paced design workflows.
Solution
CollectivAlly is an accessibility thinking platform that sits between automated tools and full user testing, bringing research-informed perspectives into the design process in seconds. The platform provides AI personas informed by inclusive research with disabled and neurodivergent people, each reflecting real behaviours, frustrations, and ways of navigating the digital world. Teams can run real journeys through these personas at any stage of the process, from early design to post-launch review, to uncover assumptions and prepare for better conversations with real users. CollectivAlly is designed to complement existing accessibility tools, not replace them, and supports thinking, discussion, and decision-making rather than compliance checking.
Target Audience
Primary customers are solo designers, product teams, and enterprise organizations that need to embed accessibility thinking into their digital design and development workflows, particularly those who already use automated tools but want research-informed perspectives without the resource burden of full user testing.
Features
- AI personas grounded in the Functional Performance Criteria of the European Accessibility Act and informed by years of inclusive research
- Personas include Aisha (blind screen reader user), Hannah (keyboard-only user), Daniel (low vision and contrast user), Priya (neurodivergent sensory sensitivity), and Lewis (cognitive processing and literacy)
- Each persona includes detailed goals, frustrations, devices, and technology preferences to guide realistic journey reviews
- Run real user journeys through personas to identify accessibility issues at any design stage
- No per-page, per-scan, or per-report fees; pricing scales with team size and project scope
- Free trial with full platform access, no credit card required