| What it does | Build custom benchmarks to compare frontier models on performance, cost, and time efficiency for your specific tasks
| AI agents do the busywork, your team makes the calls
|
|---|
| Stage | Not given
| Not given
|
|---|
| Founded | Not given
| Not given
|
|---|
| Based in | US
| AT
|
|---|
| Pricing model | Not given
| Open source
|
|---|
| Pricing | Token usage for creating and running benchmarks at raw model cost. Rubric grading: $0.002 per criterion per model (standard judges) or $0.040 per criterion (premium judges), $0.10 on agentic tasks. Pairwise grading: $0.006 per match (standard, $0.150 premium), $0.015 per match on document tasks (sta
| Not given
|
|---|
| Key features | - Custom benchmark builder with example-driven task creation
- Multiple evaluation types: Q&A, document analysis, agentic tasks, interactive conversations
- Run benchmarks across multiple frontier models simultaneously
- Cost and time per task metrics
- Standard and premium judge tiers for grading
- Rubric grading with custom criteria
- Deterministic objective grading
- No markup on model token costs
| - Requirements review agent that checks requirements for testability and clarity
- Test design agent that writes and refines test cases
- UI test execution without scripts or locators
- API test execution with JSON Schema and OpenAPI validation
- Defect reporting with screenshots and logs
- Integrated knowledge base with RAG access to project documentation
- Self-hosted models support including OpenAI-compatible providers
- Connected to Jira, Confluence, and Zephyr
- Supports Linux and Windows operating systems
|
|---|
| What makes it different | - Build benchmarks on your actual tasks and data instead of standardized tests
- Compare models across performance, cost, and time efficiency simultaneously
- Grading expertise from major AI evaluations
| - Runs entirely in your infrastructure with self-hosted models, not a SaaS product
- Covers the whole test process from requirements to reporting, end-to-end
- Tests from the screen like a human would, not through code or locators
- Learns from human demonstration and improves over time
- One test case works across any language or UI format without translation files
|
| Community votes | 0 | 0 |
| DR (Domain Rating by Ahrefs) | 85 ▲ +1 (up) since last check | Not checked yet ● no change since last check |
| Trust Flow (Majestic) | 28 | 0 |
| Citation Flow (Majestic) | 59 | 0 |
| Referring domains (Majestic) | 17353 | 0 |