Slaunt vs Behavioral Signals
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
Slaunt compared with Behavioral Signals
| Detail |
Slaunt |
Behavioral Signals |
| What it does | The all-in-one agentic AI solution for your organization
| Speech emotion, behavior, and voice deepfake detection API
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| Stage | Startup
| Established
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| Founded | 2024
| Not given
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| Based in | Not given
| US
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| Pricing model | Freemium
| Contact for pricing
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| Pricing | Starter (free), Professional ($29/seat/month), Enterprise (contact for pricing)
| Not given
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| Key features | - 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
| - Emotion recognition from speech
- Voice deepfake detection
- Speaker attributes analysis
- Language-agnostic processing
- Real-time processing at enterprise scale
- Cloud and on-premises deployment
- Behavioral signals combination
- Agent-customer matching via PAIR
- Custom domain-specific models
- Behavioral profiling and recommendations
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| What makes it different | - 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
| - Combines acoustic and behavioral cues for broader deepfake detection signal
- Language-agnostic detection without per-language model maintenance
- Real-time processing suitable for live calls
- Custom models built by expert team on same engine
- Agent-customer compatibility matching for better call outcomes
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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 |
| DR (Domain Rating by Ahrefs) | 4 ● no change since last check | 46 ▼ −1 (down) since last check |
| Trust Flow (Majestic) | 0 | 12 |
| Citation Flow (Majestic) | 28 | 19 |
| Referring domains (Majestic) | 40 | 196 |
5 details filled in for both companies.
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