| What it does | AI-powered web accessibility scanner with generated code fixes for WCAG 2.1 and 2.2 compliance
| Catch your AI agents' mistakes, block the dangerous ones
|
|---|
| Stage | Startup
| Startup
|
|---|
| Founded | 2026
| 2026
|
|---|
| Based in | TR
| Not given
|
|---|
| Pricing model | Freemium
| Not given
|
|---|
| Pricing | Free plan: 1 website, 5 pages per analysis, 10 AI credits/month. Pro: $49/month for 3 websites, 500 AI credits/month. Team: $99/month for 15 websites, 1,500 AI credits/month. Business: $249/month with unlimited websites and 5,000 AI credits/month. Additional 100 credits available for $9.
| Free: $0/month with 5,000 conversations/month, Langfuse or LangSmith integration, problems and Slack alerts, rules that block costly actions, no credit card required. Starter: $49/month for 25,000 conversations/month plus email support. Growth: $149/month for 100,000 conversations/month plus priorit
|
|---|
| Key features | - AI-generated code fixes scoped to affected HTML elements
- Real-time browser rendering via headless Chromium
- Continuous monitoring with scheduled rescans
- Contextual alt text generation
- Accessibility statement and VPAT generators
- Team collaboration with multiple user roles
- PDF and CSV report exports
- API access and webhooks for integration
- MCP server integration for Claude, Cursor and compatible clients
| - Monitor AI agent conversations without code by connecting Langfuse or LangSmith
- Judge conversations on six criteria: accuracy, goal alignment, decision quality, completeness, helpfulness, and factuality
- Create code-based rules that block risky actions before they run
- Group failures into problems with suggested rules and failure counts
- Send Slack alerts for serious mistakes and reply checks immediately
- Add to agents with one line of Python code for OpenAI Agents SDK, LangChain and LangGraph
- Mask sensitive data like email addresses, phone numbers and card numbers before sending to Kalytera
- Rules continue running offline if Kalytera goes down
- Correct judge verdicts by marking conversations as passed or failed
|
|---|
| What makes it different | - Returns actual code fixes instead of just violation reports
- Fixes the underlying source code, not runtime overlays
- Uses industry-standard axe-core engine for reproducible findings
- Maps findings to specific WCAG criteria and relevant laws
- Works with any website stack including WordPress, Shopify, Webflow, and custom frameworks
| - Rules are code-based, not AI, so they cannot be overridden or argued with
- No code setup using Langfuse or LangSmith connections for immediate visibility
- Rules continue protecting agents even when Kalytera is offline
- Catches exact mistakes from real AI agent incidents like database deletes, account takeovers and crypto theft
- Customer data stays on your servers; Kalytera only reads conversations, never writes or stores sensitive data
|
|---|
| Community votes | 0 | 0 |
|---|
| DR (Domain Rating by Ahrefs) | 6 ● no change since last check | 1 ● no change since last check |
|---|
| Trust Flow (Majestic) | 4 | 0 |
|---|
| Citation Flow (Majestic) | 22 | 14 |
|---|
| Referring domains (Majestic) | 11 | 28 |
|---|
Certvo