Slaunt vs Exabase
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 Exabase
| Detail | 
Slaunt | 
Exabase |
|---|
| What it does | The all-in-one agentic AI solution for your organization
| Context infrastructure for AI agents
|
|---|
| Stage | Startup
| Startup
|
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| Founded | 2024
| Not given
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| Based in | Not given
| GB
|
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| Pricing model | Freemium
| Freemium
|
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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
| - Memory system with self-managing advanced memory
- Isolated per-tenant instances with version rollback
- Portable context server with files, notes and links
- Sub-document multi-modal hybrid search
- Structured data extraction from PDFs, websites and images
- Autonomous agents for knowledge base automation
- 99.9% uptime SLA
- AES-256 encryption at rest and SSL in transit
- TypeScript SDK and REST API
- Model-agnostic and framework-agnostic
|
|---|
| 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
| - Cut token spend by up to 81% through persistent agent memory instead of full context window stuffing
- State-of-the-art on two leading AI memory benchmarks
- Full-stack data layer eliminating need for multiple services
- Production-tested at scale powering Fabric platform
- Self-improving memory that tracks relationships and resolves contradictions
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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 | 29 ● no change since last check |
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| Trust Flow (Majestic) | 0 | 11 |
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| Citation Flow (Majestic) | 28 | 32 |
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| Referring domains (Majestic) | 40 | 122 |
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5 details filled in for both companies.
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