Company profile
Spear
Trigger-based, human-led outbound platform for revenue teams.
- Category
- Marketing & sales AI
- Headquarters
- Tel-Aviv, Tel-Aviv District
- Sells to
- Mid-market
- Business model
- SaaS subscription
- Deployment
- Cloud / SaaS
- Pricing
- Per user per month · from $400/mo
- Builds own models
- No — builds on existing models
- Modalities
- Text
What Spear does
Spear builds the trust infrastructure for AI agents operating on behalf of revenue teams, replacing the ~$80B spent annually on sales development with agents that earn the right to act, not just automate spam. Its trigger-based platform mines micro-level insights from forums where prospects spend time, turning them into timely, personalized messages. Spear monitors buying signals across various channels (LinkedIn, Reddit, X, conferences, website visits, etc.) and uses these signals to suggest prospects and tailor outreach messages. The platform emphasizes executive-led outbound, signal over volume, and meeting buyers where they are. It provides tools for defining ICP, setting up triggers, reviewing prospects, approving outreach, and analyzing campaign performance to optimize outbound strategies.
Products
- Starter PlanSelf-serve plan including prospecting tools, lookalike campaigns, LinkedIn automation, LinkedIn, Twitter & Reddit prospecting, trigger-based outreach on event & attendance signals, up to 1,000 enriched prospects/month, self-serve campaign builder, and CRM integration.
- Growth PlanService as a Software plan including custom trigger building, Spear-led campaign strategy, dedicated GTM engineer, website visitor identification, event networking scraping, up to 3,000 enriched prospects/month, nurture sequences, MCP integration, and high priority support.
- Enterprise PlanCustom plan for larger teams including everything in Growth, plus fully custom trigger setup, unlimited end users, unlimited target lists, custom onboarding & implementation, multi-team & multi-ICP campaign management, advanced security & compliance, and SLA-backed uptime guarantee.
- Website Visitor De-anonymizationIdentifies website visitors, their company, role, and pages viewed, delivering real-time alerts to Slack and automatically adding ICP matches as prospects to the outbound pipeline.
- Reddit & X MonitoringMonitors Reddit and X for trigger moments where prospects discuss problems and signal buying intent, enabling keyword monitoring, real-time intent detection, and channel-native messaging.
- TriggersA feature that monitors high-intent activity across the market and activates outreach only when timing and context align, offering personalized and custom trigger creation based on various signals like LinkedIn posts, GitHub activity, news, podcasts, job postings, tech stack, company activity, events, financial reports, hiring, and job status changes.
- AnalyticsProvides full funnel visibility with campaign-level breakdowns, ICP refinement insights, and metrics like send, connect, reply, interested, and booked rates, along with pipeline health and efficiency tracking.
- Event CampaignsIdentifies prospects before, during, and after events to fill calendars.
- Reply SquadA 24/7 human service that responds on behalf of the user, in their tone, the moment prospects engage.
Key capabilities
- Trigger-based outbound
- Human-led outreach
- Executive-led outbound
- Signal over volume approach
- Multi-channel prospecting (LinkedIn, Reddit, X, conferences, website visits)
- Personalized message generation
- ICP definition and targeting
- Prospect review and approval workflow
- Campaign analytics and optimization
- CRM integration (HubSpot, Salesforce)
- Website visitor identification and de-anonymization
- Real-time intent detection
- Channel-native messaging
- Multi-channel orchestration
- Human-in-the-loop control for message approval
- Custom trigger creation
- Automated nurture sequences
- Dedicated GTM engineer (Growth and Enterprise plans)
- Advanced security & compliance (Enterprise plan)
- SLA-backed uptime guarantee (Enterprise plan)
- Full funnel visibility
- Campaign-level breakdowns
- Pipeline health and efficiency metrics
- Top denial reasons analysis for ICP refinement
- Integration with Claude and ChatGPT via MCP
Use cases
- Generating qualified meetings
- Building pipeline
- Scaling personalized outbound
- Identifying and engaging high-intent prospects
- Improving reply rates for outreach campaigns
- Optimizing outbound strategy through data analysis
- De-anonymizing website traffic to identify leads
- Monitoring social media (Reddit, X) for buying signals
- Targeting prospects based on specific triggers (e.g., LinkedIn posts, funding rounds, job changes, event attendance)
- Executive-led sales outreach
- Automating outreach for events and conferences
- Managing and optimizing sales development efforts
AI approach
Spear uses AI to identify buying signals across various channels (LinkedIn, Reddit, X, website visits, news, job postings, etc.) and generate personalized, context-aware outreach messages. It focuses on trigger-based outbound, ensuring messages are sent only when real buying signals appear, and learns from campaign metrics to refine targeting and messaging. The platform also integrates with large language models like Claude and ChatGPT for custom trigger setup.
Tech named: AI, deep learning, Claude, ChatGPT
Industries served
- Software Development
- Cybersecurity
- Financial Services
- Healthcare
- Retail
What it says sets it apart
- Focus on trigger-based outreach rather than volume-based spamming
- Executive-led outbound for increased credibility
- Human-in-the-loop control for message approval
- Monitoring of diverse buying signals across multiple channels (LinkedIn, Reddit, X, website visits, etc.)
- Personalization based on micro-level insights and real-time intent
- Comprehensive analytics for continuous optimization and ICP refinement
- Seamless transition from signal detection to meeting booking
- Ability to connect to any signal source via MCP integration
- Dedicated GTM engineer support for strategic guidance (Growth and Enterprise plans)
This profile was compiled from Spear's own public pages in July 2026 and reflects what the company states about itself — not an endorsement or an independent audit of those claims. Facts are extracted with AI and filtered by an automated check that drops any named product, customer or certification missing from the source pages. Full method. Something out of date? Tell us.