| What it does | Catch your AI agents' mistakes, block the dangerous ones
| The night watch for apps built with AI that tests checkout on every preview, watches live apps and payments, and identifies the deploy behind a break
|
|---|
| Stage | Startup
| Not given
|
|---|
| Founded | 2026
| Not given
|
|---|
| Based in | Not given
| IN
|
|---|
| Pricing model | Not given
| Freemium
|
|---|
| Pricing | 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
| Watch: Free (1 app, 1 journey read-only on production daily, security checks, 1 uptime monitor). Guard: $19/month (5 journeys on every preview and production deploy, business pulse, 20 auto-fixes a month, 10 monitors). Guard + Calls: $49/month (everything in Guard plus 10 journeys per app, Corvis ca
|
|---|
| Key features | - 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
| - Journey testing on preview deployments in real browser
- Security checks on every push
- Uptime monitoring
- Leaked key detection and rotation help
- Screenshot and fix brief for failing steps
- Telegram alerts with voice briefings
- Export journeys as Playwright tests
- Supabase row-level security check and auto-fix
|
|---|
| What makes it different | - 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
| - Tests real customer journeys in a real browser on every preview, not AI-generated tests grading their own work
- Learns your app's normal payment and signup patterns to detect drops when they occur
- Works across Vercel, Supabase and Stripe together for full app visibility
- Calls you on critical issues like stopped payments instead of just sending alerts
|
|---|
| Community votes | 0 | 0 |
|---|
| DR (Domain Rating by Ahrefs) | 1 ● no change since last check | Not checked yet ● no change since last check |
|---|
| Trust Flow (Majestic) | 0 | 0 |
|---|
| Citation Flow (Majestic) | 14 | 0 |
|---|
| Referring domains (Majestic) | 28 | 0 |
|---|
Corvis