Warmly

Warmly

paid

Warmly identifies anonymous website visitors, scores them by buying intent, and engages them automatically with AI-powered chat, email, and LinkedIn outreach to accelerate B2B pipeline.

About

Warmly is an autonomous revenue orchestration platform built for B2B go-to-market teams. At its core are two AI agents—the Inbound Agent and the TAM Agent—powered by a Context Graph that unifies first-, second-, and third-party intent data to give revenue teams a complete picture of who is in-market. The Inbound Agent handles on-site conversion by identifying anonymous visitors in real time, routing them to the right rep, triggering personalized popups and landing pages, booking meetings automatically, and following up with email and LinkedIn ad retargeting. The TAM Agent manages off-site intelligence and outbound orchestration, including dynamic audience building, AI-driven ICP tiering, buying committee identification, ML-based intent scoring, full contact enrichment, and multi-touch nurture campaigns. Warmly's Context Graph serves as the unified data layer, pulling together web intent signals, social activity, and third-party research intent. With 40+ native integrations, it connects seamlessly to existing CRMs, sales engagement tools, and ad platforms. Designed for sales leaders, marketing teams, RevOps, and SDR teams across startups, mid-market, and enterprise companies, Warmly is described as 'AI-native, human-supervised'—AI handles scale while humans maintain strategic oversight. The platform promises measurable pipeline impact in weeks, not quarters.

Key Features

  • Inbound Agent: Identifies anonymous website visitors in real time and engages them with AI chat, personalized landing pages, smart popups, automated meeting booking, and lead routing to the right rep.
  • TAM Agent: Orchestrates outbound at scale with dynamic audience building, AI ICP tiering, buying committee identification, ML intent scoring, full enrichment, LinkedIn ad targeting, and nurture campaigns.
  • Context Graph: A unified data layer that combines first-party web intent, second-party social activity, and third-party research intent signals to deliver a complete, real-time view of in-market buyers.
  • ML Intent Scoring: Automatically scores and prioritizes leads by buying intent so sales and marketing teams can focus effort on the highest-value prospects most likely to convert.
  • 40+ Native Integrations: Connects seamlessly to existing CRMs, sales engagement platforms, and ad networks so revenue teams can orchestrate across their full GTM tech stack without switching tools.

Use Cases

  • Identify and engage anonymous B2B website visitors before they leave, converting high-intent prospects into booked meetings using AI chat and personalized on-site experiences.
  • Orchestrate large-scale outbound campaigns by building dynamic ICP audiences, scoring buying intent with ML models, and targeting key decision-makers with LinkedIn ads and nurture sequences.
  • Accelerate inbound pipeline by automating lead routing, real-time rep alerts, and meeting scheduling when high-intent accounts arrive on the company website.
  • Run coordinated retargeting campaigns across email and LinkedIn ads to re-engage visitors who showed buying intent but did not convert during their initial site visit.
  • Empower RevOps teams with unified intent signals and workflow automation to reduce manual prospecting, prioritize the right accounts, and improve SDR efficiency at scale.

Pros

  • Full-Funnel Coverage: Covers both inbound on-site conversion and outbound orchestration in a single platform, reducing the need for multiple disconnected point solutions.
  • AI-Native with Human Oversight: Autonomous AI agents handle scale and repetitive engagement tasks while humans retain strategic control and approval, striking a practical balance for GTM teams.
  • Rich, Unified Intent Data: Aggregates first-, second-, and third-party intent signals into a single context graph for highly accurate buyer identification and prioritization.
  • Fast Time-to-Value: Pre-built playbooks and autonomous agents are designed to deliver measurable pipeline impact in weeks, not quarters.

Cons

  • Enterprise-Oriented Pricing: As a paid B2B SaaS platform, Warmly may be cost-prohibitive for very early-stage startups or small teams with limited budgets.
  • Setup and Onboarding Complexity: Leveraging the full platform—including the TAM Agent, Context Graph, and multiple integrations—may require significant onboarding effort and RevOps expertise.
  • Traffic-Dependent Inbound Value: The Inbound Agent's effectiveness scales with website traffic volume, limiting its impact for companies with low site visitor counts.

Frequently Asked Questions

What is Warmly and who is it designed for?

Warmly is an AI-native GTM platform built for B2B sales leaders, marketing and demand gen teams, RevOps professionals, and SDR teams at startups, mid-market, and enterprise companies. It automates visitor identification, intent scoring, and buyer engagement across the full funnel.

What are the two main AI agents in Warmly?

Warmly has two core agents: the Inbound Agent, which converts website visitors through personalized on-site experiences, AI chat, and automated meeting booking; and the TAM Agent, which orchestrates outbound campaigns through dynamic audience building, ML intent scoring, and LinkedIn ad targeting.

How does Warmly identify anonymous website visitors?

Warmly uses its Context Graph—a unified data layer combining first-party web intent, second-party social activity signals, and third-party research intent data—to deanonymize and enrich anonymous site visitors with verified contact and company information.

Does Warmly integrate with CRM and sales engagement tools?

Yes. Warmly offers 40+ native integrations with popular CRMs, sales engagement platforms, and advertising networks, making it straightforward to embed into an existing GTM tech stack.

How quickly can teams expect to see pipeline results with Warmly?

Warmly is designed for fast time-to-value and claims to deliver measurable pipeline impact in weeks rather than quarters, thanks to autonomous AI agents, pre-built playbooks, and real-time intent-driven engagement.

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