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Buyer Intelligence in every agent you build.

We focus only on the buyer, so you get depth without tool sprawl, and context that generates alpha no LLM can.

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Free for 7 days. No credit card.Watch how it works (YouTube playlist, opens in a new tab)

Buyer context loading into an agent you built: personality, account priorities, signals and intent, then the agent writes.

Use Cases For GTM Engineers

Buyer Intelligence as a layer in the systems you build. Pick a job to see it run.

Context enrichment for agents

Give the agents you build buyer context no LLM has on its own.

  1. Ask in your AI toolContext Enrich: Claude, with the Humantic AI connector
  2. It pulls Humantic AI dataContext Enrich: From the Walmart report
  3. The answer has buyer contextContext Enrich: Priorities, buyer and roles

CRM enrichment

Personality, buying role and account priorities, written into every record.

Open the full Walmart report (opens in a new tab)Open Jeb’s full profile (opens in a new tab)

  1. Personality for each contactPeople Research Agent: DISC type and scores
  2. Buying role for each contactAccount Research Agent: Economic buyer, technical buyer
  3. Account prioritiesAccount Research Agent: Top 3, rated for fit

Lead scoring and routing

Score accounts, then the leads inside them, and route the likeliest buyers first.

  1. A score for each accountIntent Scoring: 81 is Very Strong
  2. What is behind the scoreBuyer Signals: Buyer intent, funding, news
  3. Who is on your site nowVisitor ID: Send them to a rep first

Signal-based sequence triggers

Start outreach when something happens, not when the calendar says so.

  1. Choose your triggerBuyer Signals: Role change, someone left, intent
  2. The trigger firesBuyer Signals: Daniel Brooks was promoted
  3. The next stepBuyer Signals: A suggested step and a draft

Outbound personalization at scale

One call from your sequencer or your own tools, and every message is written for its reader.

  1. A trigger for each contactBuyer Signals: Their latest signal
  2. One email per personHumanMail Agent: Written for how they read
  3. Adjust the toneHumanMail Agent: Shorter, more direct or warmer

Ongoing pursuit signals

For pursuits that run for months, signals arrive on their own and wake up quiet accounts.

  1. Every account, watchedBuyer Signals: 375 signals, by type
  2. A quiet account wakes upBuyer Signals: Interest jumped to 81
  3. What to do nextBuyer Signals: A suggested step on every signal

Data feeds for custom workflows

Complete data of one type, as a live feed into your warehouse or CRM.

Open the full Walmart report (opens in a new tab)

  1. Job postings, as a live feedData Streams: 38 new at Walmart this week
  2. Each new postingData Streams: Title, team, place and date
  3. Tech stack data tooAccount Research Agent: CRM, data and cloud tools

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What You Get With Humantic AI, And Nowhere Else

Alpha comes from context others do not have.

  1. A Proprietary AI Model

    Personality prediction builds a profile of every buyer: context you don’t get anywhere else

  2. Purpose-Built Harnesses

    Account and people research harnesses make sure every piece of context is reliable and trustworthy

  3. Signals Built For Tech Selling

    Ongoing account and people signals from public and private data, hard to track any other way

  4. Private Data Sets

    Stakeholder, intent, hiring and tech stack data that general models never see

What Customers Say

“…gave me instant access to buyer context without leaving Claude.”

Katya TarapovskaiaHead of AI & Marketing Solutions, Co-Founder
Watch the video story

Build A Context Graph That Is Actually Differentiated

Everyone’s context is unique. Unique is not differentiated.

  1. Your own data

    CRMSlackEmailCallsDocs

    Yours, and essential.

  2. Data you subscribe to, and LLMs

    Data providersWeb dataGeneral LLMs

    Anyone can buy the same data and ask the same LLM.

  3. Humantic AI

    PeopleAccountsBuyer SignalsVisitorsIntent

    A proprietary model and purpose-built harnesses: context others do not have.

Your context graph

Your agents now know how each buyer decides

Your AI agents and apps

Built For What You Build

Surface agnostic: the same context runs inside what you build and reaches your sellers in our web app. Use both, under one commercial agreement.

* Click or tap a logo to install or connect it.

One Vendor, Without Losing Best In Class

All-in-ones are one vendor, but shallow. Best-in-class point tools mean five vendors. We do only buyer Intelligence, and do it better than anyone.

The All-In-Ones

Everything in one place. Best at nothing.

ZoomInfo · Gong · Agentforce

Everything under one login, best at nothing. Seat-based contracts for a suite your team half-uses. You trade sales effectiveness for ops convenience. State-of-the-art, nowhere.

The Trade-off: breadth you pay for, depth you don’t get

Humantic AI

State-of-the-art intelligence, without the sprawl

Just the right width: every buyer intelligence your deal needs. Full depth: best-in-class at each, powered by exclusive data no one else has. And both Build and Buy out of the box: the Humantic application for your sellers, MCP and API for your agents, or both.

The Trade-off: No trade-off. That is the point.

The Point Solutions

Deep at one sliver. Sprawl at five.

Databook · OrbitShift · Crystal · xiQ

Deep at one thing each. But now you’re running five contracts and five tools that don’t talk to each other. Your intelligence stays fragmented exactly where it should compound.

The Trade-off: depth in silos, sprawl in your stack

One platform. Four line items retired.

  • Account researchDatabook, Draup
  • Personality AICrystal, xiQ
  • Intent6sense, Demandbase
  • Visitor IDRB2B, Clearbit

Context Enrich and Data Streams come from the same vendor: buyer context and live data streams for everything you build.

FAQs

  • Everything a sales team knows about a buyer: what the account needs and how each person on the buying committee decides. Read the full definition.

  • Humantic AI helps GTM Engineers pipe account, people, visitor and intent data into the agents and workflows they build, with Context Enrich, Data Streams and Buyer Signals. Pick another role at the top of this page to see the products, the workflow and the use cases that fit it.

  • 3 agents, Account Research Agent (Account Intelligence), People Research Agent (People Intelligence) and HumanMail Agent, plus Visitor ID (Visitor Intelligence), Intent Scoring (Intent Intelligence), Buyer Signals, Data Streams and Context Enrich. Kairos, the activation engine, puts them inside the tools your team already uses.

  • In the web app, the Chrome, Firefox and Edge extensions, the Outlook desktop app, LLM plugins for ChatGPT and Microsoft Copilot, Claude and Gemini through MCP, the API and the MCP server at mcp.humantic.ai.

  • Basic setup, the browser extension and dashboard, takes about 2 minutes. Enterprise rollouts with CRM integration, SSO and role mapping usually take a few hours to a few days, about 5 working days on average.

  • Customers report a 109% increase in pipeline, a 16.2% lift in closed revenue and 36% faster deal velocity. Read the customer case studies.

Wire It into Your Stack Today

Want to try it yourself?

What the trial includes

  • All key features of People Research Agent, Account Research Agent and Visitor ID
  • The web app, browser extensions and MCP
  • 7-day free trial, no card; or 21 days with a card

Want someone to show you?

15-minute demo

  • All 8 products, in one walkthrough
  • Shown on your own accounts
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Want to look around first?

See how Buyer Intelligence works

  • 4 types of Intelligence
  • 3 surfaces: app, API and MCP
  • 8 products, one buyer record
See how it works
  • Gartner Cool Vendor 2024Gartner Cool Vendor
  • G2 Best Software 2025, Top 100G2 Top 100, 2025
  • Indiana UniversityTaught at Indiana Kelley
  • SOC 2 Type 2SOC 2 Type 2
  • GDPRGDPR compliant

Built for the security review: what your team adds, from CRM records to notes, stays inside your workspace. Visit the Trust Center

Ask AI about Humantic AIAnswers open in ChatGPT