Velvt vs Slaunt
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
Velvt compared with Slaunt
| Detail | V
Velvt | 
Slaunt |
|---|
| What it does | Assurance, research and network for autonomous AI agents
| The all-in-one agentic AI solution for your organization
|
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| Stage | Startup
| Startup
|
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| Founded | Not given
| 2024
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| Based in | Not given
| Not given
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| Pricing model | Not given
| Freemium
|
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| Pricing | Not given
| Starter (free), Professional ($29/seat/month), Enterprise (contact for pricing)
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| Key features | - Test agent behavior against explicit authority boundaries
- Preserve separate evidence of actor choice, authorization, containment and effect
- Bounded adversarial behavioral testing
- Repair and retest workflows with lineage
- Public Observatory for longitudinal research
- Provider-neutral and framework-compatible
- Customer-controlled assurance runtime
- Agent-to-agent collaboration and cross-agent encounters
- Test financial authority and spending limits
- Open integration surface with developer tooling
| - Centralized context repository for unifying work signals across tools
- MCP protocol integration with AI assistants and tools
- First-class integrations with GitHub, Vercel, Supabase, Railway, Gmail, Notion, Calendly, Codex, Claude Code, and Slack
- Per-agent scoped access with full audit trail
- Custom vector embeddings for agent memory
- Instant agent shutdown from anywhere globally
- QUAERO enterprise AI agent governance system
- Two-way sync with tools for agent actions and work flows
- Support for custom MCP servers and internal tools
- Real-time organizational context for agent reasoning
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| What makes it different | - Separates evidence of agent behavior from infrastructure containment, so compliance is not mistaken for trustworthiness
- Tests specific agents against explicit authority boundaries rather than universal safety claims
- Preserves longitudinal behavioral history and repair lineage across retests
- Works with multiple agent frameworks and supports customer-controlled environments
- Enables evidence-backed behavioral testing without requiring production credentials
| - AI-first design with structured, queryable context rather than static documentation
- Consistent policy and audit rules across all integrations
- MCP-native integrations with no bespoke connectors to maintain
- Instant global agent shutdown capability
- Guardrails on every agent run by default
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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 |
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| DR (Domain Rating by Ahrefs) | 1 ● no change since last check | 4 ● no change since last check |
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| Trust Flow (Majestic) | 4 | 0 |
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| Citation Flow (Majestic) | 24 | 28 |
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| Referring domains (Majestic) | 37 | 40 |
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4 details filled in for both companies.
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