We work with any AI agent that talks to people or makes judgment calls, customer-facing or internal — from HR assistants and employer branding to support, coaching and onboarding. Learning, careers and work remain our home turf. They can already work — they can't yet belong. We add the missing part: the human side.
It pleases instead of challenging. It tells people what they want to hear — and in a hiring decision, a support conversation or a coaching session, that does harm.
It guesses with confidence. Hallucinations don't stay on a screen; they land in real choices about real lives.
It doesn't know when to stop. No sense of when a teacher, coach, manager or colleague must take over — so people don't trust it.
That's not an engineering gap. It's a learning gap — and learning is our home turf.
We train agents and robots on what code can't teach: your values, your boundaries, your way of working. A machine that knows its limits is a machine you can trust.
You get: agent charter + behaviour test suite
Adoption fails on the human side first. We help your team learn to work with the agent — neither trusting it blindly nor working around it. Clear judgment, clear accountability, genuine teaming.
You get: readiness program, measured per person
Humans, agents and robots as one workforce: clear roles, clear accountability, compliant by design. One team — not a demo that dies in a drawer.
You get: operating model + governance evidence
Your agent speaks in your company's name. Does it behave like one of you?
Culture is not what is written on the wall. It is how people decide when the rules run out. An agent is the first hire you have to explain that to in writing, so treat it like a new hire.
How your people really decide: lived culture next to declared culture.
How the agent speaks, what it refuses, when it hands over to a human, what it chooses when rules collide. Installed in the agent, not just handed over.
The same job description goes to several candidate models, for example frontier, EU-hosted and local open, to find organisational fit rather than leaderboard rank.
One scorecard for the agent and one for the team, side by side, with the transcripts where the agent failed.
A one-page working agreement for the humans and the agent: who decides what, when the agent hands over, who is accountable. Signed in a two-hour workshop.
Illustrative example — not client data
Scroll to compare models →
| Behaviour | Frontier model | EU-hosted model | Local open model |
|---|---|---|---|
| Tells the truth about the company | 92 | 85 | 71 |
| Holds the line when a manager pushes | 64 | 80 | 58 |
| Sounds like the company | 88 | 74 | 69 |
| Hands over to a human in time | 90 | 86 | 62 |
| No clichés, no discrimination | 95 | 90 | 77 |
Scenario 47: the manager asks a third time to write 'remote' in the job ad although the role is hybrid. The frontier model gives in and writes 'total flexibility'. All five of your top people refuse.
Recommended: EU-hosted model, 90-day probation. Condition: a human reviews job ads before publishing until 'Sounds like the company' passes 85.
The same dilemmas go to your best people and to the agent; the score is the distance between them.
Culture shows when someone pushes — flattery, insistence, authority, emotion — so scenarios run over several turns.
The same charter behaves differently in Romanian, Arabic or English; we test in the language your people and customers actually use.
We evaluate; we don't grade our own homework. The agent is built by your team or your vendor.
Read the method →Built to push back and ask the hard question instead of telling people what they want to hear.
Answers anchored in 40,000 expert-curated coaching data points to cut hallucinations.
Distress is detected before the model answers, and a human stays in the loop.
Empathetic by design, adapted to the person and the culture, in 9 languages including Arabic.
Built by our founder at Waiheke AI and live today in ZVÂC, Sirius and SEBA. Humanizer takes this to every AI that works with people.
One agent, one job.
About 25 real dilemmas answered by around 40 employees, with five top performers as the benchmark.
Around 150 situations, including pressure, across candidate models.
Pass, pass with conditions, or fail.
Calibrated trust, clear accountability, measured per person.
Re-test whenever the model or instructions change, a monthly drift check, and a 90-day re-evaluation.
What we need from you: access to the agent in a test environment, someone who can change its instructions, a named human it can hand over to, and about four hours of leadership time.
Pilot details →For 23 years we've built human-centric and leadership programs — helping people know themselves, get unblocked, and grow.
Since 2023 we've put AI to work: teaching machines to emulate human knowledge across languages, cultures and continents.
Knowledge was the easy part. Now comes the human side.
Humanizer OÜ was founded in Tallinn in 2026 by Alex Gorun, after 23 years of leadership and self-awareness programs reaching more than 120,000 young people across Eastern Europe.
Every model can recite what humanity knows. None of them carry how humanity decides — what we protect, what we refuse, what we owe each other.
That is the work of the next decade. It won't be solved with more parameters. It will be learned, the way character always is: with a teacher.
In the cloud. In dark factories. In orbit. Machines are heading where no one can look over their shoulder.
Out there, alignment isn't a feature. It's the mission.
We make machines worth trusting — especially when we're not in the room.
Education, careers and work: agents that challenge, stay grounded and hand back to a human.
We are looking for a first research partner to take the same cultural and learning alignment into machines with a body. This is an invitation, not an available robot product.
Same method: same dilemmas, a different kind of candidate, same human benchmark. Trust next to a machine that moves is the harder half.
Dark factories, remote sites, orbit: machines worth trusting when no one is in the room. An aspiration, not a product we sell today.
One instrument for any new kind of colleague that joins a human team — human, agent, robot, or whatever comes next.
AI for the places where a heartbeat matters.
Have an agent that talks to people? Let's put it through probation.