Building the foundation
model for human behavior
Real-time Behavioral Understanding. For any system.
available now
Continuous Human IdentityThe Gap
Everything is decided. Nothing is understood.
A system knows a credential, a record, a prompt, an instruction. None of that is the human. None of it says who is there now, or how they are changing.
The link between a system and the human it serves breaks at the moment the system acts.
Why Now
For the first time, machines act as us.
They transact, decide, and move on our behalf at a scale no human can supervise.
Every one of those actions raises the same question. Is this genuine? Is it aligned? Is it truly the human it claims to serve?
Nothing can answer it.
The Science
There is no science for what is actually happening in real time
Static biometrics compare you against a stored template. They ask whether you match a photograph taken in the past.
Behavioral Understanding asks a different question: is the entity acting now behaving consistently with itself.
Interaction is continuous, and it is never neutral. How a person moves, holds, and engages with a device produces the Behavioral Signal: a mathematical representation of behavior across multiple dimensions, continuous rather than stored.
From it, a model can read continuity, deviation, and change.
So we are not improving the systems. We are building the science that can.
The SOLUTION
One model that understands
So we built it.
The Large Behavioral Model is the first model trained to understand human behavior as it happens. Not who someone claims to be, but how they actually are.
It reads the signals every system already produces: touch, motion, navigation. And it turns them into something no system has had before. A live, continuous understanding of the human on the other side.
It understands, continuously.
Not a snapshot at login. A living read of presence, intent, and change, for as long as the session lasts.
It works with what you have.
No new hardware. No added friction. The signals are already there. The model makes them mean something.
It fits any system.
One model. One API. Delivered as infrastructure, so Behavioral Understanding becomes something every system can simply have.
Available now
Continuous Human Identity
Identity is not a moment. It is a continuous state.
Every system in production today verifies once, at the door, and then trusts the session. Everything after the login is assumed. Session hijack, account takeover, coerced transaction, shared credential, an agent acting without mandate. None of it is visible to a system that only checked at the start.
zally verifies continuously, from the rhythm and pattern of interaction. No passwords, no prompts, no challenge, nothing for the user to do.
Confidence in who is present, for as long as they are present.
Touch and motion, read together.
- Confidence holding Rhythm and pattern hold to the profile learned in the background.
- Confidence falling The device changes hands. Movement stops being continuous with itself.
- Below threshold, session challenged Two seconds after the handover, before the transfer is signed.
- Confidence restored The original pattern returns. The session continues untouched.
Illustration only. A scripted sequence of what continuous confidence looks like. It is not the zally model, and nothing is collected or sent anywhere.
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Invisible to the user
Enrollment happens in the background. No setup step, no gesture to learn, no friction added to any journey.
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Evaluate before you enforce
Run it alongside your existing controls, scoring decisions in shadow, before it influences any of them.
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One integration
A mobile SDK and a dashboard. Everything zally does is delivered through one platform.
Start with an evaluation. See it scoring your own traffic in shadow, before it changes a single decision.
Talk to our teamEarned Signal
Where the science meets a real adversary
Continuous Human Identity is where behavior is hardest to fake and most worth reading. That is why it is first.
Behavior harvested for engagement is the wrong molecule. It tells you what someone clicked. It does not tell you who was there.
The signal that sharpens the model cannot be scraped, bought, or synthesized. It is earned in deployment, with consent, under governance: a real human, a real attacker, and ground truth on which was which.
Every deployment sharpens the model. A sharper model lowers error. Lower error wins the next deployment.
The loop tightens on itself
The Standard
What the loop produces is a standard
The standard defines how Behavioral Understanding is represented, governed, and exchanged. The Large Behavioral Model is the reference implementation.
One model. One API. Any system.
Human identity
Agent conduct
Financial behavior
Health-related change
These are not separate inventions. They are the same Behavioral Understanding, applied. zally is metered each time a system calls for it, so usage scales with the number of decisions being made, not the number of people making them. The world is adding automated decisions faster than it is adding people.
A standard becomes non-discretionary once insurers price against it and regulators cite it.
Being outside costs more than being inside.
Team
The people building it
Leadership
Patrick Smith · Founder and CEO
Serial founder with two prior exits. Operator background spanning sales, product, brand, and marketing.
Greg Henwood · COO
Former Group CIO and COO. Led transformation programs supporting 20,000+ users across 60+ sites.
Scott Weddell · CRO
Twenty years building enterprise revenue across Oracle, Salesforce, and AWS. Government, financial services, insurance.
Dr. Elliott Fullerton · Director of Innovation
PhD in AI and behavioral science. Multimodal models across health, military, sports, and workforce domains.
Ulad Maroz · Director of Product Engineering
Engineering leader with a track record of scaling startups from early stage to global scale and exit.
Thorsten Schulz-Gerhardt · Director of Customer Delivery & Operations
18 years of enterprise transformation across KPMG, BCG, and Ardagh Group.
Board and Technical Advisory Group
David Webb · Executive Chairman
Seasoned CEO, chairman, and investor. Track record of leading and exiting enterprise technology companies.
Rob Mee · Technical Advisory Group
Founded Pivotal Labs and led Pivotal Software to a $2.7B acquisition. Now CEO of Mechanical Orchard.
Sarah Greasley · Technical Advisory Group
Former IBM Distinguished Engineer, FTSE 250 Group CTO, and AWS leader in complex financial and cloud infrastructure.
Behave
Behavior has to come from somewhere
Behave is a browser game. Five minutes. It teaches the model what human movement actually looks like.
Let's make behavior, understood.
Join us in building...
A world where every system understands the human it serves
One model. Every vertical. Behavioral Understanding learned once and applied wherever a system decides.
