Orgn vs Skan AI
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 Skan AI
| Detail | 
Orgn | 
Skan AI |
|---|
| What it does | The confidential agentic stack for defense, finance, and regulated teams
| Not given
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| Stage | Not given
| Established
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| Founded | Not given
| 2020
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| Based in | US
| US
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| Pricing model | Freemium
| Contact for pricing
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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).
| Not given
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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
| - Context Graph of Work - continuously updated model of how work gets done across enterprises
- Blueprint for AI roadmap planning with defensible ROI recommendations
- Process Intelligence to identify bottlenecks and prioritize automation
- Engineering Intelligence for unified view of developer work
- Work-aware agents grounded in real operational context
- Zero-integration capture across legacy and modern systems
- In-environment processing with data staying in customer perimeter
- Agentic Operating Procedures for governed agent execution
- Audit logs and compliance tracking for every agent decision
- Built on 25B+ events from 500+ observed processes
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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
| - Observes actual work at scale across enterprise systems rather than relying on assumptions or documentation
- Delivers AI agents that work in production at scale, not just pilots
- Provides measurable ROI and audit trails for AI spending and decisions
- Privacy-first architecture keeps sensitive data within customer environments
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| Free plan | Not given
| Not given
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| Open source | Not given
| Not given
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| Platforms | Not given
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| Public API | Not given
| Not given
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 28 ● no change since last check | 54 ● no change since last check |
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| Trust Flow (Majestic) | 19 | 14 |
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| Citation Flow (Majestic) | 32 | 38 |
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| Referring domains (Majestic) | 300 | 463 |
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4 details filled in for both companies.
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