Slaunt vs Mlola
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 Mlola
| Detail | 
Slaunt | 
Mlola |
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| What it does | The all-in-one agentic AI solution for your organization
| Reliable browser use with a fast path: deterministic mechanics, safety and verification, and a model asked only for judgement.
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| Stage | Startup
| Not given
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| Founded | 2024
| Not given
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| Based in | Not given
| ID
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| Pricing model | Freemium
| Not given
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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
| - Observe page state in atomic passes without screenshots
- Model picks operations only from compatible targets
- Risk classification for payments, deletions, sends and secrets
- Typed actions with freshness, visibility and occlusion checks
- Append-only event log for replay and audit
- Chrome automation through Playwright
- Browser extension for agent isolation
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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
| - Deterministic browser mechanics as default, models only for judgement and writing
- Safety enforced through code boundaries, not prompt requests
- Every step verified independently before proceeding
- Cost measured by fast-path share on every run
- Capabilities advertised honestly, imitation refused
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| Free plan | Not given
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| Open source | Not given
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| Platforms | 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 | 10 ● no change since last check |
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| Trust Flow (Majestic) | 0 | 0 |
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| Citation Flow (Majestic) | 28 | 27 |
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| Referring domains (Majestic) | 40 | 28 |
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3 details filled in for both companies.
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