Lantern is an AI-powered revenue intelligence platform designed to help B2B sales and marketing teams identify and act on hidden opportunities within their existing tech stack. By leveraging AI agents, Lantern detects signals such as champion job changes, buyer intent, and prospect engagement, enabling teams to automate workflows and accelerate pipeline growth. With over 50 integrations, including tools like HubSpot, Salesforce, and Mixpanel, Lantern ensures seamless data synchronization and actionable insights. The platform's focus on automation and signal detection aims to enhance efficiency and drive revenue growth for businesses.
Key Features
- AI-Powered Signal Detection: Identifies and acts on revenue signals across your tech stack.
- Champion Tracking: Monitors job changes of key contacts to uncover new opportunities.
- Intent Monitoring: Detects buyer intent to prioritize high-value prospects.
- Prospecting Agents: Automates the identification and validation of ideal prospects.
- Voice Agent: Engages leads through natural conversations to qualify opportunities.
- Agent Library: Access a library of pre-built agents for various revenue functions.
- Seamless Integrations: Connects with over 50 tools, including HubSpot, Salesforce, and Mixpanel.
- Automated Workflows: Routes signals, updates systems, and triggers actions across your stack.
Pricing
Contact for pricing.
Pros
- Comprehensive Signal Detection: Identifies a wide range of revenue signals across various channels.
- Automation: Streamlines workflows and reduces manual effort.
- Scalability: Suitable for businesses of all sizes, with customizable solutions.
- Integration Capabilities: Connects with a vast array of tools, ensuring seamless data flow.
- User-Friendly Interface: Intuitive design facilitates easy adoption and use.
Cons
- Pricing Transparency: Some users may find the custom pricing for the Enterprise plan less transparent.
- Learning Curve: New users may require time to fully leverage all features.
- Dependence on Integrations: Effectiveness is tied to the quality and completeness of integrations.
