Run and fine-tune models. Deploy custom models. All with one line of code.
Accessibility auditing tools for AI agents
Stage
Not given
MVP
Founded
Not given
Not given
Based in
Not given
CA
Pricing model
Paid
Free
Pricing
Most models billed by time based on hardware used (CPU $0.000100/sec, T4 GPU $0.000225/sec, L40S GPU $0.000975/sec). Some models billed by input/output tokens or generated items. Private custom models billed for all uptime; fast-booting fine-tunes billed only for active processing.
Not given
Key features
Run thousands of community-contributed open-source models
Fine-tune models with custom data to create specialized versions
Deploy custom models using Cog, an open-source packaging tool
Automatic scaling based on demand
Pay only for compute time used
Image generation from text
Axe-core automated accessibility scans with violation counts and per-rule details
Page structure review including landmarks, headings and nested lists
Tab and focus order analysis with tabindex flag detection
Image and alt text inventory
WCAG 2.2 color contrast checking
Browser control for navigating dynamic content
Session-based auditing with action logging
Integration with Claude, opencode and other MCP clients
Local execution with no data transmission
What makes it different
One-line code interface for running models without ML expertise
Automatic infrastructure scaling without manual management
Open-source community with thousands of production-ready models
Fine-tuning capability to customize models for specific tasks
Runs locally on your machine without requiring an account or API key
Works with any MCP client including Claude Desktop and opencode
Provides comprehensive accessibility auditing through axe-core integration
Includes explicit audit workflow guidance for consistent evaluation
Drives a real Chromium browser for accurate testing of dynamic content