Gumloop vs Inteldo
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 Inteldo
| Detail |
Gumloop |
Inteldo |
| What it does | The multiplayer AI agent builder
| Eight specialized AI agents research your question in parallel and deliver one clear answer you can act on
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| Stage | Not given
| Startup
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| Founded | Not given
| 2024
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| Based in | US
| SI
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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.
| Not given
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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
| - Eight parallel specialist agents analyzing different business data domains
- Stripe and Google Ads revenue tracking with MRR and CAC analytics
- Google Analytics 4 and Search Console traffic analysis
- PostHog product analytics and funnel monitoring
- Competitor website analysis and pricing extraction at scale
- Real-time chat workspace with cited sources for all findings
- OAuth secure, read-only data connections
- Signal boards for ongoing metric monitoring
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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
| - Eight specialized agents work in parallel instead of a single chatbot
- Every claim cited to live sources, not generated from training data
- Bootstrapped with roadmap driven by customer needs, not investor targets
- Data analyzed and discarded, never trained on models
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| Community votes | 0 | 0 |
| DR (Domain Rating by Ahrefs) | 75 ● no change since last check | 35 ▼ −1 (down) since last check |
| Trust Flow (Majestic) | 19 | 19 |
| Citation Flow (Majestic) | 49 | 32 |
| Referring domains (Majestic) | 4273 | 25 |
5 details filled in for both companies.
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