| What it does | Manage the verified knowledge, permissions, and proof behind every AI answer.
| Production AI at enterprise scale
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| Stage | Not given
| Established
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| Founded | Not given
| 2016
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| Based in | Not given
| US
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| Pricing model | Freemium
| Contact for pricing
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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
| Flexible subscription, term, and perpetual licensing models. Organizations switching from conventional architectures see 60-80% reduction in total infrastructure cost. CPU-based pricing with no incremental ETL costs.
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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
| - AI on Enterprise Data - bring AI directly to governed enterprise data at petabyte scale
- Security - built-in controls for access, governance, and compliance
- Deployment Options - cloud, on-premises, or hybrid deployment flexibility
- Data Ingest - continuously ingest and prepare high-volume data for AI-ready analytics
- Query Optimization - run complex analytics on petabytes of data with predictable performance
- Semi-Structured Data - give AI richer context with structured and semi-structured data in one platform
- Megalane Parallelism - sub-second queries at petabyte scale
- Zero Copy Reliability - no data duplication or redundant storage overhead
- Compute Adjacent Data Store - computation happens where data lives
- Smart Data Pipelines - continuously governed data pipelines replace manual ETL
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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
| - Petabyte-scale performance without moving or duplicating enterprise data
- 60-80% reduction in infrastructure costs compared to conventional architectures
- Production-grade AI delivery with expert implementation and solutions delivery teams
- Flexible licensing models aligned to how enterprise AI programs actually scale
- Unified platform for ingest, governance, query execution and optimization
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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 | 54 ● no change since last check |
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| Trust Flow (Majestic) | 21 | 16 |
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| Citation Flow (Majestic) | 19 | 38 |
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| Referring domains (Majestic) | 13 | 361 |
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Wiki
Ocient