| What it does | Real testers run your AI-generated test cases on real phones and browsers with a human-verified pass/fail report in 3 days
| Platform to evaluate, trace, monitor and security test AI agents
|
|---|
| Stage | Established
| Not given
|
|---|
| Founded | 2011
| Not given
|
|---|
| Based in | IN
| Not given
|
|---|
| Pricing model | Paid
| Freemium
|
|---|
| Pricing | Starter ₹9,999 + GST (5 sessions × 45 min, 2 devices/browsers, up to ~25 test cases, 3 business days); Standard ₹18,999 + GST (10 sessions × 45 min, 4 devices/browsers, up to ~50 test cases, 3 business days); Deep ₹34,999 + GST (20 sessions × 90 min, 6 devices/browsers, up to ~120 test cases, 5 busi
| Free plan at $0 forever with 5,000 spans/month, 25 test runs/month, 100 evaluator executions/month, 2 custom evaluators, 5 datasets, 2 prompts, 5 users, 3 projects, 7-day data retention. Pro plan at $39 per month with 200,000 spans/month plus $5 per 100k additional spans, 100 test runs/month, 5,000
|
|---|
| Key features | - Test case execution on real Android and iOS phones
- Cross-browser testing on Chrome, Safari, Edge and Firefox
- Human-verified pass/fail results for every test case
- Screenshot and video recording of every failure
- Exact reproduction steps for every failure
- Device, OS and browser version details in report
- Verified severity grading against published rubric
- Duplicate finding merging and verification
- One-click re-run on same plan with new build
- Coverage table showing pass/fail/blocked status per device
| - Observability and tracing of every LLM call, tool invocation and decision point with latency, cost and token usage metrics
- Evaluation to score agent answers before release against traces that broke
- Simulation to test agents with realistic users before launch
- Red teaming to find injection, tool abuse and data leaks before launch
- Prompt management with versioning and deployment controls
- Online evaluation to score real conversations in production
- Agent Insights to spot patterns and detect drift
- Real-time alerts on cost, latency, errors and quality regressions
- Support for 14+ LLM providers and 12+ frameworks
- MCP server for querying and debugging traces from inside IDE
|
|---|
| What makes it different | - Real devices only, not emulators or simulators
- Human verification catches failures emulators and AI agent test runs miss
- Fixed price with no hourly overage or hidden charges
- Unfilled device sessions automatically credited to next job
| - Single platform that covers the entire AI agent lifecycle from prompt management through production monitoring, instead of scattered tools
- Built on OpenTelemetry standards for native observability across frameworks you already use
|
| Community votes | 0 | 0 |
| DR (Domain Rating by Ahrefs) | 28 ▲ +1 (up) since last check | 13 ▼ −1 (down) since last check |
| Trust Flow (Majestic) | 9 | 10 |
| Citation Flow (Majestic) | 32 | 26 |
| Referring domains (Majestic) | 109 | 32 |