Platform

Agents

Not a tool.

Your best marketer.

01

Lantern builds a living model of every customer in your market.

02

Then agents research, target, and launch campaigns against it.

03

Brief in. Campaign out. Every channel. Every format.

Brief your agent. It builds the campaign.

Lantern agents are teammates that know your market: every account, every signal, every relationship. Come with a creative idea and they help you build it out. Research, enrichment, targeting, creative, activation. No workflow builders. Just a brief.

ABM Strategist Agent

Specialist Agent · Replaces hundreds of hours of manual campaign ops.

For every account in the target list, monitor for buying signals weekly. When an account crosses the intent threshold, auto-build a full campaign, personalized ads, a unique email sequence for each persona in the buying committee, and a briefing doc for the AE. No account gets a generic touch.

Account Signals

AE Briefing - Acme Corp

Buying committee: CISO (new hire), VP Engineering, CTO
Key signal: Series C closed 3 weeks ago
Recommended Talk Track: Lead with post-funding compliance acceleration. Reference their CISO hire as timing signal.
Competitive Landscape: Evaluating Wiz and Orca — no contract signed.

Find Buyers

Live campaigns for every target account, built from signals

Nurture Campaigns

1:1 nurture campaigns for every prospect, customized to their pain points.

Competitive Intelligence

Competitor monitoring: pricing, launches, hiring, reviews.

Close Deals

Meeting Brief: Full briefing doc before every call, automatically.

Score Leads & Accounts: Multi-factor scoring in real time against the graph.

Inbound SDR: Form fill to fully enriched, scored, routed lead in 30 seconds.

Grow Customers

Churn Prevention: Rising ticket volume + upcoming renewal = flagged before anyone notices.

Expansion Intelligence: Usage patterns that signal upsell timing.

Customer Health Score: Engagement, support, usage, and sentiment in one score.

Operate

CRM Hygiene Expert: Duplicates, stale data, missing fields — cleaned and kept clean.

Forecast Deals: Forecast deals and automate next steps.

Track Job Changes: Champions who leave open opportunities at both firms.

The world model for revenue.

Every great campaign dies in the same place: execution. The creative team has the idea. The ops team has the data. But between the brief and the launch, there's a gap filled with list pulls, enrichment, sequencing, QA, and weeks of back-and-forth. That gap exists because your customer data lives in dozens of tools with no shared understanding of the market.

Before

Brief
Data cleaning
Sequencing
Approval chains
Back-and-forth
Enrichment
Personalization
QA
Reporting
Launch
Segmentation
Platform setup
List pulls

After

Brief
Launch

Lantern builds that understanding. A living model of every account, every signal, every buying committee, compounding every day. When agents work on top of that foundation, the gap closes. Every campaign personalized. Every account getting a version built for them. And marketing is just the start.

Your agents are only as good as their context.

Lantern's Revenue Ontology connects your CRM, intent signals, enrichment data, product usage, and support history into a single model.

That graph is what your agents reason against, updated continuously, compounding with every interaction. The deeper the model gets, the smarter your agents get.

Three layers, one platform by Lantern

Every agent runs on three layers: a unified data model, 150+ enrichment providers, and an open-source engine where every decision is auditable.

Data Waterfall: 150+ enrichment providers. Sequential routing optimized per segment. The best answer wins. No vendor lock-in.

Agent Engine: Open-source execution engine. Workflows defined in code. Human-in-the-loop checkpoints. Full audit trail on every action.

Revenue Ontology: Every data source normalized into one model. Entity resolution across systems. Relationships stored, not inferred. Schema that evolves with your business.

Open engine. Enterprise platform.

import { BaseAgent } from "@lantern/agents";
import { RevenueOntology } from "@lantern/ontology";
import { IntentScorer } from "@lantern/signals";
import { CampaignBuilder } from "@lantern/campaigns";

export class ABMStrategyAgent extends BaseAgent {
    /**
     * Monitors target accounts for buying signals and
     * auto-builds personalized campaigns when intent spikes.
     */
    constructor(ontology, { threshold = 0.75 } = {}) {
        super({ name: "abm_strategist" });
        this.ontology = ontology;
        this.scorer = new IntentScorer();
        this.threshold = threshold;
        this.builder = new CampaignBuilder();
    }

async run(accountId) {
        const account = await this.ontology.getAccount(accountId);
        const signals = await this.ontology.getSignals(account);
        const committee = await this.ontology.getBuyingCommittee(account);
        const score = this.scorer.evaluate(signals);

// Every decision is auditable
        this.logReasoning({
            step: "intent_evaluation",
            inputs: { signals, accountId },
            output: { score, committeeSize: committee.length },
            confidence: this.scorer.confidence,
        });

if (score < this.threshold) {
            return this.skip(account, {
                reason: `Score ${score.toFixed(2)} below threshold`,
            });
        }

// Build personalized campaign for each persona
        const campaign = this.builder.create({
            account,
            committee,
            channels: ["linkedin_ad", "email_sequence", "landing_page"],
        });

for (const persona of committee) {
            this.logReasoning({
                step: "persona_personalization",
                inputs: { role: persona.role, signals: persona.signals },
                output: { contentVariant: persona.role },
                confidence: this.scorer.confidence,
            });
            campaign.addVariant({
                persona,
                ad: await this.builder.generateAd(account, persona),
                emailSequence: await this.builder.generateEmails(account, persona),
                briefingDoc: await this.builder.generateAEBrief(account, persona),
            });
        }

// Nothing ships without human approval
        await campaign.submitForReview();
        return campaign;
    }
}

Your next hire will be an agent.

TriNet monitors 4M+ businesses with Lantern’s AI agents — surfacing TAM signals and opportunities before competitors see them.

WordPress generated $2.1M in pipeline in the first 90 days using Lantern’s agents.

Contact Accuracy: 95%
Integration sources: 150+
Contacts: 3B+