| What it does | Encoding Human Expertise into Machines
| AI-powered autonomous QA platform for web, iOS and Android testing
|
|---|
| Stage | Not given
| Not given
|
|---|
| Founded | Not given
| 2023
|
|---|
| Based in | US
| CH
|
|---|
| Pricing model | Not given
| Contact for pricing
|
|---|
| Pricing | Not given
| Not given
|
|---|
| Key features | - Converse-STT Benchmark for speech-to-text evaluation
- Converse-Diarization Benchmark for speaker attribution
- Expert network with domain specialists
- Audiovisual conversational datasets
- Multilingual conversational AI datasets
- Open-source model post-training research
| - Multi-agent AI system that plans, verifies, builds, and self-heals tests
- Natural language test creation from plain English instructions
- Automatic test discovery from URLs, PRDs, Jira tickets, and Figma links
- Self-healing tests that repair when UI changes
- Test organization with hierarchical folders and test suites
- Flexible execution: on-demand, scheduled, and CI/CD-triggered
- Parallel execution across browsers and viewports
- Test results delivered to Slack, Teams, or email
- Test data management with variables, secrets, and assets
|
|---|
| What makes it different | - Real-world conversational data from elite professionals
- Multimodal and multilingual expertise encoding
- Rigorous benchmarking with open-source evaluation tools
- Custom data pipelines for each discipline and accent
- Focus on nuance beyond scale, capturing lived experience
| - Tests are created and maintained without code, from plain English descriptions
- Self-healing tests automatically adapt to UI changes without manual rewrites
- Multi-agent system with automatic test planning, generation, verification, and execution
|
|---|
| Community votes | 1 | 0 |
|---|
| DR (Domain Rating by Ahrefs) | 28 ▲ +1 (up) since last check | 26 ● no change since last check |
|---|
| Trust Flow (Majestic) | 4 | 8 |
|---|
| Citation Flow (Majestic) | 32 | 31 |
|---|
| Referring domains (Majestic) | 264 | 73 |
|---|
Ocular AI
Klarent