Isonapse 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.
Isonapse compared with Skan AI
| Detail | 
Isonapse | 
Skan AI |
|---|
| What it does | The governance layer for AI agents
| Not given
|
|---|
| Stage | MVP
| Established
|
|---|
| Founded | 2026
| 2020
|
|---|
| Based in | CH
| US
|
|---|
| Pricing model | Not given
| Contact for pricing
|
|---|
| Pricing | Agent Hook for Claude Code (public beta, available now), Community Edition (public beta, early September 2026, free), Enterprise Edition (Q4 2026)
| Not given
|
|---|
| Key features | - Policy-based rule definition for agent actions
- Checkpoint enforcement before every action
- Tamper-evident signed audit ledger
- Vendor-neutral across models and harnesses
- Deterministic decision-making without LLMs
- Offline enforcement without network connectivity
- Budget caps and cost control
- Data tokenization and secret placeholder support
- One-click installation for Claude Code
| - 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
|
|---|
| What makes it different | - Neutral layer enforcing policies across any agent, model, or harness
- Self-hosted on your hardware with no telemetry or cloud dependency
- Cryptographically verified audit trail you can check offline
| - 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
| Not given
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| Public API | Not given
| Not given
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| Community votes | 0 | 0 |
|---|
| DR (Domain Rating by Ahrefs) | 5 ▲ +5 (up) since last check | 54 ● no change since last check |
|---|
| Trust Flow (Majestic) | 9 | 14 |
|---|
| Citation Flow (Majestic) | 24 | 38 |
|---|
| Referring domains (Majestic) | 64 | 463 |
|---|
5 details filled in for both companies.
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