Detect & auto-fix inaccessible slider controls in Windows apps

Many web/native sliders lack accessible names for screen readers. A developer-focused AI-enabled tool detects these issues (Windows + browsers), suggests or auto-generates ARIA/automation properties, and integrates into CI/CD and dev tools.

86Score

Target Audience

Desktop app teams and QA/Accessibility engineers at SMBs and mid-market software vendors who ship Windows apps (Electron, Win32, UWP) and need WCAG compliance for sliders and form controls.

Market Size

$6.4B = 160,000 organizations ...

Competition

medium

Key Pain Points

Low defensibility from AI alone -- detection and simple fixes are easy to copy without unique data or network effects.
False positives/unsafe patches -- automated changes to UI can break behavior or create regressions if not validated.
Fragmented platform behavior -- Windows accessibility APIs, various browsers, and screen readers differ; covering all edge cases is complex.

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OVERALL

8.6Great

Market Validation

Demand

~8K/mo*

Competition

medium

Growth

12-18% CAGR in digital accessibility tooling and services due to regulation and enterprise adoption*

Market Size

$6.4B

Market Opportunity

Detect & auto-fix inaccessible slider controls in Windows apps targets a $6.4B = 160,000 organizations x $40K ACV (enterprise digital accessibility + tools + remediation services) total addressable market with medium saturation and a year-over-year growth rate of 12-18% CAGR in digital accessibility tooling and services due to regulation and enterprise adoption.

Key trends driving demand: Regulatory enforcement -- governments and large customers are requiring WCAG/ADA compliance, driving enterprise procurement.; AI-assisted code remediation -- LLMs and program synthesis enable automatic generation of ARIA attributes and code patches.; Shift-left testing -- integration into dev workflows and CI/CD reduces remediation cost and increases demand for tooling.; Open-source accessibility engines -- projects like axe and Lighthouse provide detection building blocks, enabling commercial layers..