| What it does | Open source multimodal semantic search framework
| Secure virtual databases for enterprise AI without moving data
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| Stage | Not given
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| Founded | Not given
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| Based in | Not given
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| Pricing model | Freemium
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| Key features | - Vector search
- Object storage for media files
- Asynchronous background jobs
- Built-in AI models
- Auto-scaling infrastructure
- Multimodal support for text, image, video, and audio
- MongoDB-compatible document database
- Automatic data processing pipeline
- Async data processing
- Monitoring and observability
| - Zero data movement or duplication through live database connectors
- Differential privacy and security engine with real-time access control
- AI-ready protocols that auto-generate MCP, A2A, and API integrations
- Complete audit trails and governance for all agent actions
- Flexible access modes including free text AI queries, SQL, and BI tools
- Real-time analytics without data movement or copies
- Anti-hallucination translation from natural language to data queries
- SOC 2 certified with independent security verification
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| What makes it different | - Zero configuration setup - install and initialize in one minute with pip
- Built on proven enterprise infrastructure used by millions of applications
- Seamless scaling without code changes
- Full MongoDB ecosystem compatibility with AI capabilities
| - No data movement required – virtual layer on existing infrastructure
- Mathematical privacy guarantees through proprietary differential privacy
- Context-aware permissions for AI agents with deterministic guardrails
- Data stack agnostic – works with any database and AI platform
- Enterprise compliance and governance without data silos
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 3 ▼ −1 (down) since last check | 25 ▲ +1 (up) since last check |
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| Trust Flow (Majestic) | 11 | 5 |
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| Citation Flow (Majestic) | 23 | 28 |
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| Referring domains (Majestic) | 55 | 113 |
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OneNode
PVML