| What it does | Ship Fast, Ship Safe, Stay Ahead
| Build custom benchmarks to compare frontier models on performance, cost, and time efficiency for your specific tasks
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| Stage | Not given
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| Founded | Not given
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| Based in | US
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| Pricing model | Freemium
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| Pricing | Explore: Free (500 credits to start, 50 credits/month). Launch: $149/month or $134/month billed annually (5,000 credits to start, 250 credits/month). Scale: $1,499/month or $1,349/month billed annually (10,000 credits to start, 1,000 credits/month). Enterprise: Custom pricing (contact sales).
| 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
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| Key features | - AI Risk Detection: Continuously red team AI with dynamic, use-case-specific attacks that adapt in real time
- AI Risk Removal: Real-time guardrails stop threats fast and get smarter with every prompt
- AI Risk Monitoring: Real-time insights that show what's working, what's not, and where to act
- AI Compliance Management: Translate internal policies and external regulations into automated guardrails
- Multi-modal red teaming for text and image content
- MCP Gateway for inline policy control on MCP tool traffic
- MCP Scanner to discover and assess MCP risk
- PII detection and masking
- Compliance audit reports for OWASP, NIST, EU AI Act
- LLM Safety Leaderboard benchmarking 200+ models
| - 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
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| What makes it different | - Unique ability to detect and remove data layer risks in AI deployments with extremely high precision
- Multi-modal capability to safeguard AI-generated text and creatives in image generation applications
- Reduces time to certify and ship by 90% through automated security and compliance processes
- Recognized as Gartner Cool Vendor in AI Security 2025
- Open-source MCP Gateway with enterprise policy management and audit capabilities
| - 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
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| Community votes | 0 | 0 |
| DR (Domain Rating by Ahrefs) | 58 ● no change since last check | 84 ▼ −1 (down) since last check |
| Trust Flow (Majestic) | 15 | 28 |
| Citation Flow (Majestic) | 40 | 59 |
| Referring domains (Majestic) | 587 | 17353 |