| What it does | LinkedIn outreach automation that drafts messages for your approval and sends them from your own machine
| AI agents for field service, technical support, and customer care
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| Stage | MVP
| Established
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| Founded | Not given
| 2020
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| Based in | Not given
| US
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| Pricing model | Not given
| Contact for pricing
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| Pricing | Single: £25/month (or £225/year, save 25%); Starter: £49/month (or £441/year); Growth: £99/month (or £891/year); Scale: £189/month (or £1,701/year). All plans include unlimited usage up to LinkedIn's limits.
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| Key features | - Rule-based filtering prevents drafts that name unstated companies, numbers, or links
- Approval workflow: every draft waits for your review and only approved messages send
- Rejection feedback loop: rejected phrases are banned from future drafts
- Session-based LinkedIn connection: no password stored, real browser window on your machine
- Automatic sending: invitations sent one at a time, about one minute apart, at your daily pace limit
- Follow-up automation: prepares and queues follow-up messages to quiet conversations
- CRM and calendar integrations: HubSpot, Notion, Gmail, Google Calendar, Zapier, Make, n8n, webhooks
- Lead management with tags, notes, flagging and warm lead tracking
- CSV export of leads and data portability
| - Service Expertise Graph built from case history
- Step-by-step diagnostic guidance adapted to technician role and experience
- Predictive issue identification
- Direct integrations with Salesforce, ServiceNow, SAP, and Microsoft
- Real-time learning and improvement from each case closed
- Multi-region service standardization
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| What makes it different | - Runs on your own machine with no cloud servers, no IP rental, and no data stored externally
- Unlimited usage on all plans with no throttled entry tier, only LinkedIn's account limit applies
- Account safety: stops when LinkedIn asks for verification, never uses proxies or spoofing
| - Deterministic guidance grounded in actual fixes your team has performed, not AI guesses
- Improves with every resolution, creating institutional knowledge at scale
- Fast deployment of weeks, not months, with pilots running quickly
- Levels the playing field so newly onboarded technicians match experienced ones
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| Community votes | 0 | 0 |
| DR (Domain Rating by Ahrefs) | Not checked yet ● no change since last check | 48 ▲ +1 (up) since last check |
| Trust Flow (Majestic) | 3 | 15 |
| Citation Flow (Majestic) | 11 | 35 |
| Referring domains (Majestic) | 1 | 249 |