| What it does | From Requirements to Code. Verified.
| AI guitar tone matcher built on real gear data, adapted to your specific equipment
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| Stage | Not given
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| Founded | Not given
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| Based in | CY
| US
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| Pricing model | Not given
| Freemium
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| Pricing | Startup: Free for up to 3 users and 3 projects. Cloud Starter: $9 per user/month with unlimited users and projects. Cloud Pro: $19 per user/month with unlimited users, projects, 1,000 included AI credits per licensed user per month, and priority support. Self-hosted: Starting at $3,000 per instance/
| Free: Browse 13,000+ tones and see example matches with no account required. Tone Seeker: $6.99/mo or $34.99/yr (save 58%), includes 20 adaptations per month. Tone Master: $10.99/mo or $49.99/yr (save 62%), includes unlimited adaptations. Both paid plans include guitar and bass support, unlimited to
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| Key features | - Specification Management: Manage connected requirements, data entities, APIs, interfaces, wireframes, and test cases in a versioned product model with traceable relations and branch-aware revisions
- Change Management: Define each product change through a Change Request that connects goal, affected specifications, project branch, implementation impact, and linked issue
- Architecture & Software Units Blueprints: Define subsystem architecture and software unit blueprints with implementation rules, responsibilities, dependencies, and file boundaries linked to product sp
- AI Assistants: AI Analyst, AI Test Designer, AI Architect, and AI Product Expert for refining specifications, designing tests, developing architecture, and reviewing implementation
- MCP for AI Coding Agents: Give coding agents branch-aware specifications, architecture guidance, software units, file traces, and Change Request context through MCP
- Specification and Code Alignment Verification: Check that code matches specifications and follows architecture rules as the system evolves
- Test Management: Organize test cases, test runs, execution, and result history
- MCP for QA Agents: Give QA agents prepared test runs, cases, steps, and expected outcomes through MCP to record execution results
| - 2,000+ guitars and 1,500+ amps profiled with real EQ ranges and control sets
- 13,000+ researched tones with confidence scores
- Adaptive AI that calibrates for pickup type, amp type, and cabinet voicing
- Amp settings including gain, EQ, reverb, and presence controls
- Full bass guitar and bass amp support with 150+ profiles
- Free tone browsing and demo matching before paid subscription
- Unlimited tone saves and gear preset storage
- Community library with researched tone sources
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| What makes it different | - Preserves product context across tasks, agents, and code changes through a structured, verified product model
- Reduces handoffs and coordination by delegating whole features with connected specifications and implementation scope
- Prevents architecture drift by connecting implementation with subsystem architecture rules, unit guidelines, and component responsibilities
- Built for complex products where a single feature touches connected data, APIs, interfaces, and business rules across multiple repositories and systems
- Keeps product model current as specifications and implementation change using AI assistance and team review
| - Every recommended setting actually exists on your specific amp—no phantom controls or made-up channels
- Gear-aware AI that accounts for differences between amp types, not generic settings for all users
- Real-recording analysis and researched gear data, not AI hallucination
- Works on your existing gear—no need to own the same equipment as the original artist
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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) | 28 ● no change since last check | 30 ● no change since last check |
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| Trust Flow (Majestic) | 18 | 7 |
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| Citation Flow (Majestic) | 34 | 25 |
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| Referring domains (Majestic) | 68 | 112 |
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Reqode
TonesMatch