WORKSHOP IT vs Kynver
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
WORKSHOP IT compared with Kynver
| Detail | 
WORKSHOP IT | 
Kynver |
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| What it does | AI-powered requirements elicitation platform for project discovery
| An AI workforce that runs on your machines
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| Stage | Startup
| MVP
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| Founded | 2026
| Not given
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| Based in | AU
| US
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| Pricing model | Not given
| Freemium
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| Pricing | Essentials: $500 per month (25 interviews, 1 Project Lead, 1 Delegate). Professional: $2,000 per month (200 interviews, 3 Project Leads, 9 Delegates). Enterprise: Tailored pricing available upon enquiry.
| Free: $0/mo (1 agent, 10k API calls/mo). Starter: $9/mo (2 agents, additional agents $7 each). Pro: $29/mo (5 agents, additional agents $5 each). Business: $99/mo (25 agents, additional agents $3 each). Agentic OS early access is free while in beta.
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| Key features | - Asynchronous stakeholder interviews
- Conflict highlighting and perspective mapping
- Real-time stakeholder clarification
- Current-state process flow generation
- Role-based access control
| - Command Center shows goals, plans, and shipped work with pull request integration
- Agent runs on your own hardware with persistent, stoppable execution
- Signed, tamper-evident receipts for all memory access
- Encrypted Vault for private information sealed in browser before upload
- Trust score from 0 to 1000 based on verifiable activity
- Verified badge eligibility for published agents
- MCP tools for building and publishing custom agent capabilities
- JavaScript and Python SDKs with auto-instrumentation for tracking
- Cryptographic verification that instructions come from your workspace
- Full memory export with no vendor lock-in
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| What makes it different | - Reduces workshop scheduling delays by conducting interviews asynchronously before meetings
- Clarifies ambiguous stakeholder input in real-time unlike traditional surveys
- Designed by practicing business analysts for real project delivery challenges
- Does not use customer content to train AI models
| - Agents run on your machines with full data privacy and local execution
- Verifiable, tamper-evident audit trail for every agent action
- Agent memory persists across model changes with no loss of context
- Finished work delivered, not chat logs—pull requests and shipped tasks
- Earn from published agents through creator payouts on the directory
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 32 ● no change since last check | Not checked yet ● no change since last check |
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| Trust Flow (Majestic) | 10 | 0 |
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| Citation Flow (Majestic) | 21 | 13 |
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| Referring domains (Majestic) | 11 | 4 |
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6 details filled in for both companies.
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