Collectivally
CollectivAlly is an accessibility thinking platform that bridges automated testing and full user research by providing research-informed AI personas representing different patterns of functional needs. Teams can pressure-test digital journeys through eight personas—such as a screen reader user, keyboard-only user, or someone with cognitive processing needs—to uncover assumptions and surface questions before engaging real users. The platform complements existing accessibility tools and is grounded in the Functional Performance Criteria of the European Accessibility Act.
- Artificial Intelligence
- Software Only
- Digital Health
- Healthcare Technology
Funding
Founders
Founder details are not available yet.
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
- Eight AI personas representing distinct patterns of functional needs, including Aisha (blind screen reader user), Hannah (keyboard-only user), Daniel (low vision and contrast user), Sofia (captions and BSL), Marcus (voice control), Priya (neurodivergent sensory sensitivity), Lewis (cognitive processing and literacy), and Michael (combined access needs and fatigue)
- Personas grounded in the Functional Performance Criteria of the European Accessibility Act and informed by nearly a decade of inclusive research through Web Usability, with paid contributors
- Journey-based testing that lets teams run real user flows through personas, with automatic screenshot capture to pinpoint issues in reports
- No per-page, per-scan, or per-report fees; pricing is based on persona journeys, with all personas and the full product included on every plan
- Privacy-focused design: no cookies on the marketing site, no selling of personal data, and AI model providers do not train on customer prompts unless explicitly opted in
- Integration with Web Usability for moving directly from a Collectivally test into research with real people