Gumloop vs Demi
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
Gumloop compared with Demi
| Detail | 
Gumloop | 
Demi |
|---|
| What it does | The multiplayer AI agent builder
| The AI assistant who gets work done, before it slips
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| Stage | Not given
| Not given
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| Founded | Not given
| Not given
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| Based in | US
| Not given
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| Pricing model | Freemium
| Freemium
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| Pricing | Free 14-day trial. Pro plan starts at $37/month with 20,000 monthly credits. Enterprise plan available with custom pricing.
| Free plan with up to $50 in free credits; Individual plan $25/month including 5,000 credits per month; Team plan with custom pricing.
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| Key features | - Browser automation with real browser execution
- Over 300 native integrations
- Support for any AI model including frontier and open-source
- Session recordings with audit logs
- Human-in-the-loop with secure handoffs
- Password vault for credential management
- CAPTCHA handling
- Agent self-improvement through reflection
- Detailed spend analytics per model and agent
- Role-based access control and governance
| - Drafts email replies in your voice
- Prepares meeting briefs automatically
- Captures and tracks commitments
- Updates CRM automatically
- Connects to 100+ tools including Gmail, Slack, and HubSpot
- Learns work patterns without workflow setup
- Morning and evening digests of what needs attention
- Surfaces forgotten follow-ups and open loops
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| What makes it different | - Anyone can build agents without coding, not just technical teams
- Full observability and control over AI spend with credit-based billing
- Agents run in real browser with full web access and integration capabilities
- Enterprise-grade security with VPC deployment and data ownership
| - Proactive: surfaces work that needs attention before you ask, rather than waiting for you to prompt
- No setup required: builds workflows automatically from your patterns, not from a configuration wizard
- Full control: everything external or consequential waits for your approval before sending or changing systems
- Multi-tool context: learns across all your tools to understand your tone, priorities, and patterns
- Privacy-first: data encrypted end-to-end, SOC 2 Type II compliant, and never used to train models
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 75 ● no change since last check | 32 ▼ −1 (down) since last check |
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| Trust Flow (Majestic) | 19 | 6 |
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| Citation Flow (Majestic) | 49 | 32 |
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| Referring domains (Majestic) | 4273 | 144 |
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5 details filled in for both companies.
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