Slaunt vs Cogni
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 Cogni
| Detail | 
Slaunt | C
Cogni |
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| What it does | The all-in-one agentic AI solution for your organization
| Memory that reasons
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| Stage | Startup
| Not given
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| Founded | 2024
| Not given
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| Based in | Not given
| US
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| Pricing model | Freemium
| Freemium
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| Pricing | Starter (free), Professional ($29/seat/month), Enterprise (contact for pricing)
| Free plan at $0 USD; Pro plan at $5 USD per month.
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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
| - Entity-graph spreading activation for cross-vocabulary retrieval
- Works with any LLM model
- No LLM or GPU in retrieval path
- Point-in-time and windowed recall
- Timestamped memories
- Fixed recall cost as memory grows
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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
| - Reaches answers across unrelated documents that share no keywords, where vector search scores zero
- Deterministic retrieval with no model in the path, so results never vary between queries
- Constant per-query cost regardless of memory size, even at 32,000 words
- No infrastructure to run—no vector database, cluster, or GPU needed
- Works with any model, so small local models gain the most from better retrieval
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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) | 4 ● no change since last check | 4 ● no change since last check |
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| Trust Flow (Majestic) | 0 | 2 |
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| Citation Flow (Majestic) | 28 | 21 |
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| Referring domains (Majestic) | 40 | 34 |
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5 details filled in for both companies.
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