Every Doubt, Answered Before You Buy

• DISC is not an accurate way to predict a buyer.

  People Research Agent uses DISC to read how someone likes to communicate, not to predict who buys.

  It reads what the person has published and shows its sources.

  DISC and Big Five on every profile, each with a confidence score.

  How People Research Agent reads people

• What if a buyer barely posts anything?

  A thin public footprint shows up as a low confidence score, not as a confident guess.

  Your team can add what it knows, and that stays inside your workspace.

  Confidence score and source list on every read.

  Open a sample profile

• Half of LinkedIn is written by AI now. Does that break it?

  People Research Agent does not rely on any single post.

  It reads patterns across many public signals over time, and the confidence score drops when the signal is weak.

  A reviewer raised this in 2025. Here is what changed.

  Read that review

• What happens when a profile is wrong?

  You can flag it from the profile, and the correction feeds back into the model.

  Every read lists its sources, so reps can check it before the call.

  Feedback goes in from the profile itself.

  Read a profile, step by step

• Where does the data come from?

  Public professional data, data partners with the legal basis to share it, and whatever your own team adds.

  Private communications and restricted data sets are never used.

  What your team adds is never added to public profiles.

  Data sources, in full

• Will it get through our security review?

  Our controls are covered by a SOC 2 Type 2 audit report, shared on request.

  We follow the GDPR, CCPA and CDPA, and enterprise setup adds single sign-on and role mapping.

  A DPA with EU, UK and Swiss transfer clauses.

  Read the DPA

• Why is this safer than pasting buyer notes into a chatbot?

  A personal chatbot account sits outside your contracts, while Humantic AI runs under a signed DPA.

  We name every sub-processor, give 15 days notice before a change, and delete customer data 30 days after an account ends.

  Sub-processors, retention and your rights, on one page.

  How we handle data

• Can someone opt out of being profiled?

  Yes, anyone can remove their own profile without emailing us.

  Visitors can opt out of Visitor ID from the same public page.

  Self-serve opt out for profiles and for Visitor ID.

  The opt-out page

• It is too expensive.

  You can pay for what you use.

  Buy per seat, on a usage plan with credit packs, or mix both on one account, so an occasional user never costs what a daily one does.

  3 ways to buy, and every product is on every plan.

  See the 3 ways to buy

• We are a small team. Is this priced for us?

  Yes. Small teams usually start on a usage plan and pay for the credits they use.

  A founder can begin with Visitor ID to see who is on the site, then add People Research Agent and Account Research Agent as the sales motion grows.

  Visitor ID is priced on usage.

  Meet Visitor ID

• How do I justify it to finance?

  Start with what customers measured.

  Teams use Humantic AI to cut prep time per seller and win more of the deals that matter, so the case for finance is hours saved and revenue gained.

  Customers report 109% more pipeline and 36% faster deals.

  Read the case studies

• Do we pay for lookups that find nothing?

  No. Credits are spent only on successful profiles and reports.

  A search that comes back empty costs nothing, in the app and on the API.

  Every product is on every plan.

  How usage plans work

• Our data lives in Salesforce or HubSpot. We do not want another silo.

  Insights sit on the lead and contact record, so your CRM stays the source of truth.

  Profile data writes back to Salesforce, HubSpot, Zoho and Freshsales.

  Native CRM integrations, plus an API and MCP.

  See every integration

• We already have a contact-data tool.

  Keep it. A contact-data tool tells you who to reach.

  Humantic AI adds how each person decides and who else is on the buying committee, and Context Enrich adds unique buyer context for the AI you build.

  Buying committee maps, built and shared in a few clicks.

  Map a buying committee

• Does it work in Outreach, Gmail and Outlook?

  Yes. HumanMail Agent works in Outreach, HubSpot, Salesforce, Gmail and Outlook.

  It writes new emails and replies in each buyer’s own style, and meeting insights reach your inbox before each call.

  New emails and replies, matched to how each buyer reads.

  Meet HumanMail Agent

• Can we pipe the data into our own systems?

  Yes. The API returns the same people and account intelligence as the app, and MCP puts it inside your agents.

  Data Streams deliver live jobs, tech stack and visitor feeds for the accounts you pick, by webhook or MCP.

  One fact set across the app, API and MCP.

  How Data Streams work

• My reps will not adopt another tool.

  They do not have to open one, because it shows up where they already work.

  That means the LinkedIn extension in Chrome, Edge or Firefox, the Outlook desktop app, the CRM record, and ChatGPT, Claude, Gemini or Copilot.

  Browser, inbox, CRM and AI assistant, one login.

  Where it runs

• How long until we see value?

  A first profile lands in seconds, once you paste a LinkedIn URL.

  An Account Research Agent account report takes minutes where manual research takes hours.

  Account research: 3 hours down to 8 minutes.

  Meet Account Research Agent

• We already train on a sales methodology.

  Keep it. A methodology tells reps what to do in the conversation, and People Research Agent tells them who they are talking to.

  Sandler, a sales training company, is our methodology partner.

  Our methodology partnership with Sandler.

  Sandler partnership

• We tried a personality tool before and nobody used it.

  That usually happens when reps have to read a chart and then write the email themselves.

  Here HumanMail Agent writes the email in the buyer’s style, and the extension shows what to say and what to avoid.

  Short how-to videos for every first step.

  How-To Guides

Using a General AI Assistant

• ChatGPT, Claude or Gemini can already do this.

  They can search and summarise, but they do not see intent, tech stack or who visited your site.

  On personality they stay at 65 to 70% accuracy, and they forget the account when the chat ends.

  People Research Agent reads personality with 87%+ accuracy.

  Humantic AI vs general LLMs

• We already pay for ChatGPT Enterprise or Copilot.

  Keep it. Humantic AI connects to ChatGPT and Copilot as a plugin.

  It connects to Claude as a custom connector, so reps ask the assistant they already use and get buyer intelligence in the answer.

  Plugins for ChatGPT, Claude, Gemini and Copilot.

  LLM plugins

Build, Buy or Assemble

• We could build this ourselves with an LLM and a scraper.

  You could, and a first demo is quick to build.

  The harder part comes after: licensed data partners, intent and visitor data, a personality model trained for selling, regular refreshes and the compliance behind it.

  Or assemble: use our API and MCP as parts of your own agent.

  GTM Engineering

• Our GTM engineers build their own agents. Why add you?

  As a part, not a replacement.

  MCP and the API give your agents people, account, visitor and intent intelligence with sources attached, on usage-based billing, and you keep the workflow.

  The same intelligence as the app, over MCP and API.

  MCP and API

What an LLM Cannot See

• An LLM can search the web. What do you have that it does not?

  Some data is not on the open web.

  That includes research intent from Bombora, who is on your site from Visitor ID, hiring and tech stack streams, verified contact data, and your team’s own notes on each buyer, kept private to your workspace.

  Active, research and market intent, read together.

  Meet Intent Scoring

• Will the next model make this pointless?

  Models will keep getting better at reading text, and we use leading models ourselves.

  What a model does not get on its own is licensed intent data, your site visitors, or a profile that keeps updating after the chat is over.

  Buyer Signals keep each account report current on a schedule.

  How Buyer Signals work

• Is this only for big enterprise teams?

  No. It fits teams of any size, and large sales teams use all of it.

  A founder can start with Visitor ID, a sales team with People Research Agent and Account Research Agent, marketing with Intent Scoring, and engineers with MCP and the API.

  Who it fits, by role, deal complexity and vertical.

  Is it right for you?

• Can we use it to screen job candidates?

  No. People Research Agent reads buyers for sales conversations.

  It is not a hiring, assessment or performance tool, and we do not sell one.

  One of our worst reviews came from this mix-up.

  Who it is not for

• Who actually uses it?

  Teams at NextEra Energy, Mitel, Wipro, Indegene and Happiest Minds use it.

  Sandler is our methodology partner, and Gartner named Humantic AI a Cool Vendor in AI-Led Sales in 2024.

  Customer stories, in their own words.

  Case studies

• Where do your numbers come from?

  They are averages our customers report, not lab results.

  109% more pipeline, 16.2% more closed revenue and 36% faster deal velocity are a reason to test it on your own accounts.

  Start a free trial and run it on a buyer you know.

  About Humantic AI