| What it does | Manage the verified knowledge, permissions, and proof behind every AI answer.
| Production infrastructure for AI applications with observability, governance, and multi-model support
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| Stage | Not given
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| Pricing model | Freemium
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| Pricing | Starter $29/month (1 workspace, 3 team members, 3 collections, 250 documents, 1 AI Application). Pro $99/month (3 workspaces, 10 team members, 20 collections, 2,500 documents, 5 AI Applications). Team $249/month (10 workspaces, 30 team members, unlimited collections, 15,000 documents, 20 AI Applicat
| Personal $15/month (25,000 credits); Starter $25/month (50,000 credits); Team $75/month (100,000 credits); Pro $375/month (500,000 credits). Additional credits available at $0.10 per 1,000 credits.
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| Key features | - Verified knowledge management with ownership, review dates, and source tracking
- Permission-based access control per AI application
- Citation-backed answers and source coverage checks
- Answer testing in Answer Playground
- Hosted documentation publishing with custom domains
- Knowledge Health scoring and monitoring
- Source change detection and monitoring
- Import and governance of existing docs and files
| - Step-level observability with traces showing status, latency, credits, and governance for every step
- Natural-language governance policies with flag and block thresholds
- Model portability: swap 200+ models at any time without code changes
- Automatic content ingestion and vector database indexing for RAG
- Persistent memory banks for conversation context
- Cost tracking per model, agent, and step with credit-based pricing
- Structured output validation ensuring quality responses
- HTTP endpoints for every agent with SDKs for Python, JavaScript, Go, and C#
- ML-based prompt scanner blocking injection attacks in real time
- Evaluation framework with evals that run locally, in CI, and in production
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| What makes it different | - Separates verification and permissions from retrieval, deciding what is reviewed and safe before AI uses it
- Enables different AI applications to have different knowledge boundaries from one governed source
- Provides audit trail showing sources, verification, and permissions behind every answer
- Prevents AI hallucinations through source requirements and refusal when knowledge is missing
- Publishes documentation directly from verified sources keeping it aligned with AI knowledge
| - All production LLM features unified in one runtime with no orchestration stack to assemble
- Local development environment matches production exactly for debugging and verification
- Swap between 200+ models without changing code or workflow logic
- Governance and compliance built-in with real-time prompt injection blocking and policy evaluation
- Transparent credit-based pricing where all operations consume predictable, tracked credits
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| Free plan | Not given
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| Open source | Not given
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| Platforms | Not given
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| Public API | Not given
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 26 ▲ +1 (up) since last check | 8 ▼ −1 (down) since last check |
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| Trust Flow (Majestic) | 21 | 6 |
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| Citation Flow (Majestic) | 19 | 20 |
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| Referring domains (Majestic) | 13 | 22 |
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