AI solution · Humantic AI · Sales
Humantic AI

Humantic AI

Buyer intelligence platform that profiles prospects and researches accounts so sales teams can personalize outreach at scale.

Independent overview by new Mantra · updated July 15, 2026

Category
Sales
Pricing
See vendor for current pricing
Implementation
2-4 weeks
Adoption risk
Medium
Integrates with
Chrome Extension, Firefox Extension, Edge Extension, Outlook Desktop App
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What Humantic AI does

Humantic AI combines two AI agents to give enterprise sales teams a fuller picture before they engage a prospect. Agent Pi builds personality profiles — based on the DISC framework — by pulling from publicly available data, giving sellers a read on how individual decision-makers prefer to communicate and be sold to. Agent Miia handles account-level research, pulling together a picture of a target company and up to three competitors in a matter of minutes.

The two agents are designed to work together: Miia provides the business context (why a company might buy), while Pi provides the people context (how to approach the individuals involved). A third component, the Kairos Activation Engine, uses both sources to help craft personalized messaging across calling, emailing, and other touchpoints — not just email templates.

The platform is accessible through a web application and extends into browsers via Chrome, Firefox, and Edge extensions, as well as an Outlook desktop add-in. The vendor describes the implementation timeline as two to four weeks, and the solution is positioned for teams already running complex, multi-stakeholder enterprise deals rather than high-volume transactional sales.

Key capabilities

DISC Personality Profiling

Agent Pi builds a DISC-based behavioral profile for individual buyers using publicly available information, giving sellers a starting point for tailoring how they communicate with each stakeholder.

Account Research in Minutes

Agent Miia conducts structured research on a target account and up to three competitors, aiming to deliver a usable summary within about three minutes rather than hours of manual work.

Personalization Across Channels

The Kairos Activation Engine draws on both account and people intelligence to support personalized outreach across calls, emails, and other sales touchpoints — not limited to a single channel.

Browser and Email Integration

Chrome, Firefox, and Edge extensions plus an Outlook desktop add-in let sellers access buyer intelligence without switching to a separate application.

Multi-Stakeholder Coverage

The platform is built for deals involving complex buying committees, allowing teams to build profiles on multiple decision-makers within a single account.

Best for

  • Enterprise B2B sales teams managing long sales cycles with multiple stakeholders involved in a single deal
  • Account executives and BDRs who spend significant time manually researching prospects before outreach
  • Revenue operations teams looking to standardize and scale pre-call preparation across a sales org
  • Organizations selling into Professional Services, Finance, Real Estate, or similarly relationship-driven sectors
  • Teams that want buyer intelligence surfaced inside the solutions they already use — browser and Outlook — rather than a standalone workflow

Worth knowing

  • This solution is explicitly not designed for transactional sales, SMB markets, or high-velocity teams — if your motion is volume-based, the fit is weak by the vendor's own description.
  • Personality profiles are inferred from public data using a predictive model; sellers should treat them as a starting point for preparation, not a definitive read on any individual.
  • Implementation is estimated at two to four weeks, which requires some onboarding effort and change management, particularly to embed it into existing sales workflows.
  • Pricing is listed at a budget tier but requires direct contact with the vendor for current figures — factor in time to get a real quote before comparing costs.
  • The platform's value scales with deal complexity and committee size; smaller teams running straightforward deals may not generate enough volume to justify the investment.

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