Aquant vs Kynver
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
Aquant compared with Kynver
| Detail | 
Aquant | 
Kynver |
|---|
| What it does | Conversational AI for physical product and equipment support
| An AI workforce that runs on your machines
|
|---|
| Stage | Established
| MVP
|
|---|
| Founded | 2016
| Not given
|
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| Based in | US
| US
|
|---|
| Pricing model | Not given
| Freemium
|
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| Pricing | Not given
| 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 | - Knowledge agent that searches documentation and knowledge bases for precise information
- Voice-enabled assistant for hands-free support
- Cross-channel memory that carries context across chat, call, and video
| - 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 | - Purpose-built for physical product and equipment support, not generic chatbots for orders and FAQs
- Trained on real-world service data refined by subject matter experts, not generic LLMs
- Continuous self-learning that improves automatically from every interaction without constant reconfiguration
- Flexible deployment with pre-built agents, custom agent building, and integration of existing AI
- Vision-guided support with ability to see customer's problem and annotate on-screen guidance
| - 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) | 55 ▲ +1 (up) since last check | Not checked yet ● no change since last check |
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| Trust Flow (Majestic) | 11 | 0 |
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| Citation Flow (Majestic) | 37 | 13 |
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| Referring domains (Majestic) | 248 | 4 |
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5 details filled in for both companies.
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