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Lantern

Vendor: Lantern

Lantern is an AI platform and growth accelerator for revenue teams that builds a living model of every customer using a Revenue Ontology and deploys agents to automate research, targeting, and campaign execution across all revenue functions.

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linkedin email B2B sales and marketing teams looking to automate revenue signal detection and pipeline acceleration Revenue operations teams needing unified customer data across CRM, enrichment, intent, and support systems Marketing teams executing account-based campaigns requiring personalized, signal-driven outreach at scale #revenue-intelligence #ai-agents #sales-automation #lead-scoring #data-enrichment #knowledge-graph #abm #revenue-operations

Overview

Lantern is an AI platform and growth accelerator for revenue teams that unifies CRM, enrichment, intent, support, and call data into a single Revenue Ontology — a living knowledge graph of every account, contact, deal, and signal. The platform's Data Waterfall queries 150+ enrichment providers in a single call with 95% coverage, automatic conflict resolution, and full provenance. The Ontology resolves entities across systems, classifies signals based on your business context (not generic taxonomies), and evolves its schema from your team's usage patterns. On top of this foundation, Lantern deploys specialized agents — including ABM Strategist, Creative Producer, and Nurture Specialist — that research, build, and launch personalized campaigns for every target account. Agents automate workflows across the full revenue lifecycle: finding buyers, nurturing prospects, competitive intelligence, deal forecasting, champion tracking, churn prevention, expansion intelligence, and data hygiene. The platform connects in two weeks with a forward-deployed engineer, requires no upfront schema mapping, and runs on a single-tenant architecture with AWS PrivateLink and SOC 2 Type II compliance.

Key Features

Data Waterfall

One enrichment call across 150+ providers with per-segment optimization, automatic conflict resolution, cost controls, and full provenance on every field. Achieves 95% coverage with zero vendor management.

Revenue Ontology

Single knowledge graph unifying CRM, enrichment, intent, support, and call data. Resolves entities across systems, stores relationships, and classifies signals based on your business context and conversion history.

Schema Evolution

Ontology detects gaps from usage patterns (overrides, skipped stages, reclassified signals) and proposes schema updates that propagate to all agents immediately upon approval.

ABM Strategist Agent

Monitors buying signals weekly for every target account. When intent threshold is crossed, auto-builds full campaigns with personalized ads, unique email sequences per buying committee persona, and AE briefing docs.

Creative Producer Agent

Generates campaign creative assets including personalized ads and content tailored to each account's signals and buying committee.

Nurture Specialist Agent

Executes 1:1 nurture campaigns for every prospect, customized to their pain points and engagement patterns across channels.

Champion Tracking

Monitors job changes of key contacts to uncover new opportunities at both the departing and destination companies, surfacing full relationship history.

Intent Monitoring

Detects buyer intent signals (funding, hiring, technographics, web behavior) and classifies them for your specific ICP and competitive landscape.

Competitive Intelligence

Monitors competitor pricing, launches, hiring, and reviews to inform talk tracks and positioning.

Customer Health Scoring

Combines engagement, support, usage, and sentiment into a unified health score for churn prevention and expansion identification.

Automated Data Hygiene

Continuously cleans duplicates, stale data, and missing fields across the knowledge graph with full versioning and rollback capability.

Deal Forecasting & Next Steps

Forecasts deals and automates next steps based on multi-factor scoring against the live knowledge graph.

Rapid Lead Enrichment & Routing

Form fill to fully enriched, scored, and routed lead in 30 seconds using the Data Waterfall and Ontology.

Enterprise-Grade Deployment

Two-week setup with forward-deployed engineer. Single-tenant architecture with AWS PrivateLink and SOC 2 Type II compliance. No upfront schema mapping required.

Pros & Strengths

  • ✓
    Unified Data Foundation: Revenue Ontology eliminates reconciliation layer by unifying 12+ systems into one knowledge graph with resolved entities and stored relationships.
  • ✓
    Superior Enrichment Coverage: Data Waterfall queries 150+ providers in a single call with 95% coverage, automatic conflict resolution, and full provenance — replacing manual vendor arbitrage.
  • ✓
    Business-Contextual Signal Classification: Ontology classifies signals based on your industry, ICP, competitive landscape, and conversion history — not generic taxonomies.
  • ✓
    Self-Evolving Schema: Schema learns from team behavior (overrides, skipped stages) and proposes updates that propagate to all agents immediately.
  • ✓
    End-to-End Agent Automation: Specialized agents (ABM Strategist, Creative Producer, Nurture Specialist) execute full campaign lifecycles from brief to launch across all channels.
  • ✓
    Fast Deployment: Two-week setup with forward-deployed engineer, no upfront schema mapping, and pre-built connectors for CRM, support, calls, and 150+ enrichment sources.

Cons & Tradeoffs

  • ⚠
    Custom Pricing Model: Pricing requires direct contact with sales, which may create uncertainty for budget planning and smaller teams.
  • ⚠
    Learning Curve: New users may need time to understand agent configuration, Ontology concepts, and signal interpretation to maximize value.
  • ⚠
    Integration Dependency: Effectiveness relies on the quality and completeness of connected tool integrations for accurate entity resolution and signal detection.
  • ⚠
    Enterprise-Focused: Platform architecture (single-tenant, PrivateLink, forward-deployed engineer) suggests focus on mid-market to enterprise, potentially less suitable for small teams.

Known Limitations

  • • Platform effectiveness depends on integration quality and data completeness across connected tools
  • • Custom pricing model may not suit teams requiring predictable subscription costs
  • • Enterprise-grade deployment model (single-tenant, PrivateLink, dedicated engineer) may be excessive for smaller organizations
  • • Schema evolution requires human approval, which could slow adaptation in fast-changing environments

Pricing & Plans

Model: custom

Lantern uses a custom enterprise pricing model. Pricing details are not publicly disclosed and require direct contact with the sales team for a tailored quote based on organization size, requirements, and deployment scope (including single-tenant architecture, PrivateLink, and forward-deployed engineer).

✓ Free Plan ✓ Free Trial

Pricing verified: 2026-08-20

Editorial Info

Last Reviewed: 2026-08-20

Verified Sources & Research

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