| What it does | Local-first orchestration layer that converts natural language goals into validated plans, policy checks, and real tool execution
| Production AI at enterprise scale
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| Stage | Startup
| Established
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| Founded | 2025
| 2016
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| Based in | Not given
| US
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| Pricing model | Not given
| Contact for pricing
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| Pricing | Free: $0 with single local runtime, core tool registry, session memory, demo mode. Intelligence: $49/month with multi-agent delegation, Visual Workflow Studio, Security Center, MCP protocol, 7 LLM providers, native desktop app. Enterprise: custom pricing with distributed agent mesh, security policy
| 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 | - Visual Workflow Studio with drag-and-drop pipeline canvas
- Natural language chain generation from plain English descriptions
- Step-by-step debugger with real-time node animation
- Policy gates and human approval for destructive operations
- Multi-agent delegation with consensus workflows
- AES-256-GCM encrypted secrets vault
- Support for 7 LLM providers including Ollama
- Immutable SOC 2-style audit log with SHA-256 hash chains
| - 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 | - Fully local execution with no cloud infrastructure dependency required
- Human-in-the-loop approval system for governance and risk mitigation
- Native desktop application with bundled runtime and zero prerequisites
- Visual pipeline design without code required
| - 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) | 1 | 16 |
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| Citation Flow (Majestic) | 23 | 38 |
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| Referring domains (Majestic) | 63 | 361 |
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MachinaOS
Ocient