| What it does | AI operations platform for building, deploying, and governing specialized business agents without code
| AI sales development representative for LinkedIn that researches profiles, sends connection requests, and answers replies from your own account
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| Stage | Not given
| Startup
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| Founded | Not given
| 2026
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| Based in | US
| NL
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| Pricing model | Not given
| Freemium
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| Pricing | Not given
| 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.
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| Key features | - No-code agent builder
- Approved context and tools
- Usage and cost governance
- Website, workspace, and API deployment
- Shared workflow library
- AI Front Desk for websites
- Public and private workspace boundaries
| - 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
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| What makes it different | - Complete workspace keeps agent instructions, context, tools, and controls together instead of scattered across platforms
- Cost governance before AI spend becomes uncontrolled operating expense
- Reusable agent patterns and workflows avoid rebuilding for every use case
- Separates agent builders from operators so teams can create and control independently
- Non-developers can build and manage agents without technical expertise
| - 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
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 17 ▲ +1 (up) since last check | 20 ▲ +1 (up) since last check |
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| Trust Flow (Majestic) | 2 | 7 |
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| Citation Flow (Majestic) | 21 | 23 |
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| Referring domains (Majestic) | 20 | 22 |
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AgentShelf
SDR Pilot