SDR Pilot vs Elpis
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
SDR Pilot compared with Elpis
| Detail | 
SDR Pilot | 
Elpis |
|---|
| What it does | AI sales development representative for LinkedIn that researches profiles, sends connection requests, and answers replies from your own account
| Portable context for terminal coding agents
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| Stage | Startup
| Not given
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| Founded | 2026
| Not given
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| Based in | NL
| Not given
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| Pricing model | Freemium
| Open source
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| Pricing | Pro: $97/month for 1 sender; Agency: $297/month for 10 client workspaces; Agency Unlimited: $497/month for unlimited client workspaces. Extra senders: $47/month (Pro), $37/month (Agency), $27/month (Agency Unlimited). 14-day free trial on all plans.
| Not given
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| Key features | - Six lead sources: connection requests, profile viewers, post engagers, niche posts, people search, and existing connections
- Profile research and ICP scoring before sending requests
- Up to 20 connection requests per day with gradual warm-up
- AI-written replies from playbook and profile context
- Take over conversations at any time
- MCP server and API on every plan for agent control
- Dedicated residential IP per sender in user's country
- Unified inbox for all conversations with lead management
| - Context Ledger for curating admitted instructions, files and memory
- Deterministic context admission before model processing
- Workflows with Mother agent team design and checking
- Love Spot drawing board with Matilda companion
- Desktop app with theme customization
- Support for GPT, Claude and Gemini models
- Terminal and desktop app sharing state
- Portable context for terminal coding agents
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| What makes it different | - Runs on your own LinkedIn account and session, not a separate profile
- Researches and scores every profile before sending, not template-based campaigns
- Driven by your own AI agent over MCP, not just manual control
- Holds real conversations from playbook, not drip sequences
- Founder's own account has run continuously since June 2026, proving safety design
| - Deterministic context admission ensures agents see processed context before model receives it
- Context Ledger provides transparent curation of agent inputs
- Mother agent orchestrates multi-agent workflows with checking and merged results
- Collaborative drawing interface with AI companion
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 20 ▲ +1 (up) since last check | 7 ● no change since last check |
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| Trust Flow (Majestic) | 7 | 0 |
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| Citation Flow (Majestic) | 23 | 12 |
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| Referring domains (Majestic) | 22 | 6 |
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4 details filled in for both companies.
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