Orgn vs PLCGateway AI MCP
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
Orgn compared with PLCGateway AI MCP
| Detail | 
Orgn | 
PLCGateway AI MCP |
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| What it does | The confidential agentic stack for defense, finance, and regulated teams
| MCP server for industrial software that lets AI assistants connect machines, build screens and analyze production data
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| Stage | Not given
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| Founded | Not given
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| Based in | US
| TR
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| Pricing model | Freemium
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| Pricing | Pay as you go: from $20 prepaid credits, provider cost plus 10% markup, $25 increments. Team: $1,200/seat/year (5-seat minimum). Enterprise Sovereign: $2,400/seat/year. Sovereign Government: custom pricing. Blackbit add-on: $4,999/named operator/month (2-operator minimum).
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| Key features | - Confidential AI IDE (CDE) for secure coding assistance with protected repositories and terminals
- Confidential LLM Gateway with access to hundreds of models through governed interface
- Hardware-protected sandboxed environments for code and agent execution
- Cryptographic attestation and audit trails for workload verification
- Agents SDK for private agent execution with controlled tool access
- Support for private, restricted, and air-gapped deployments
- Trusted Execution Environment (TEE) models on sovereign infrastructure
- SSO and RBAC for enterprise access control
- Blackbit autonomous security agent for agentic cyber tasks
| - Connect machines and create devices from plain language instructions
- Build process screens and report dashboards that engineers review before deployment
- Define production assets and calculate OEE for discrete, continuous or batch processes
- Query alarm statistics and production data in natural language
- Support MCP protocol over network HTTP or local stdio connections
- Works with any MCP-compatible AI client including desktop and self-hosted models
- Role-based access control matching viewer, operator and administrator permissions
- Audit logging of every write operation with user identification
- Acknowledge alarms and record batch results within user permissions
- Generate Python code examples for REST API integration
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| What makes it different | - Hardware-backed isolation and attestation replacing traditional policy-based security
- Zero-retention model ensuring code stays within protected environments
- Verifiable execution with audit trails for compliance and security verification
- Flexible deployment from self-serve credits to sovereign air-gapped environments
| - Built-in MCP server in every product, no separate AI add-on or cloud service needed
- Production data remains on-premise; nothing sent to cloud unless user's chosen AI model requires it
- Drafts protect production: AI-created screens and dashboards reviewed before going live
- Same access controls for AI as for people: roles, rights and logging
- Assists in user's own language and explains PLCGateway features through built-in help
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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) | 30 ▼ −1 (down) since last check | Not checked yet ● no change since last check |
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| Trust Flow (Majestic) | 19 | 0 |
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| Citation Flow (Majestic) | 32 | 0 |
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| Referring domains (Majestic) | 300 | 0 |
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4 details filled in for both companies.
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