IKKF vs WAI Quantum
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
IKKF compared with WAI Quantum
| Detail | 
IKKF | 
WAI Quantum |
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| What it does | Knowledge Engine that distills experience into sovereign, reusable skills for AI agents
| Run a quantum program. Get an answer you can check.
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| Stage | Not given
| Not given
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| Founded | Not given
| Not given
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| Based in | Not given
| US
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| Pricing model | Freemium
| Free
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| Pricing | IKKF CLI: free forever, no license required. IKKF for macOS: $9.99 one-off purchase.
| Not given
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| Key features | - Seven-phase execution protocol
- Synthesis Gate ensures expertise is distilled before task completion
- Universal AI provider support
- Local-first operation with no cloud or telemetry
- Work decomposed into 10-15 minute chunks
- Plain-text skill files you can read and audit
- Real deliverables written to your workspace
- Skill library and synthesis
- Two execution modes: Light and Full
- Resume and restore interrupted tasks
| - Multiple simulation methods including state vector, stabilizer tableau, matrix product state, and tensor network
- Automatic method selection based on circuit requirements
- Measurement counts, expectation values, and amplitude extraction
- Noise simulation with depolarizing, amplitude damping, and dephasing channels
- Cryptographically signed receipts for result verification
- Model Context Protocol integration for agent access
- Browser-based execution and service-based execution
- Desktop app and command-line interface availability
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| What makes it different | - Ownership of all skills—your expertise stays yours, not locked in opaque third-party systems
- Synthesis Gate forces real learning and skill building alongside task completion
- Free CLI forever with no license, key, or machine-lock
- Local-first privacy—no cloud, no telemetry, full control
- Works with any AI agent—one protocol, instant provider swaps
| - No account and no API key required to use the service
- Automatic explanation of which simulation method was chosen and why
- Signed receipts allow verification of results by anyone
- Integrated with Model Context Protocol for AI agent access
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 4 ▼ −1 (down) since last check | 53 ● no change since last check |
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| Trust Flow (Majestic) | 4 | 0 |
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| Citation Flow (Majestic) | 18 | 15 |
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| Referring domains (Majestic) | 7 | 3 |
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4 details filled in for both companies.
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