A more connected tomorrow

Give AI a model
of your world.

HelmGraph is the Human Enterprise Logic Model, a living organisational ontology that connects people, data, relationships, systems and AI agents, so AI understands the context in which your business actually operates.

Explore the platform
PEOPLE | DATA | RELATIONSHIPS | SYSTEMS | AI
HelmGraph's living network model of an organisation, visualised as an illuminated connected globe
YOUR PEOPLE.
YOUR DATA.
YOUR RELATIONSHIPS.
YOUR SYSTEMS.
ONE LIVING MODEL.
HELMGRAPH™
HUMAN ENTERPRISE
LOGIC MODEL
●People
●Data
●Roles
●Systems
●Skills
●Relationships
●Intent
●Outcomes
The enterprise context layer

AI is only as intelligent as the world it understands.

HelmGraph gives AI the context and relationships behind your enterprise data, connecting people, roles, skills, systems and intent into a single, living model.

A company-specific model of how your organisation actually works, so AI can reason, act and deliver real outcomes.

Explore how it works →
SIGNAL → DIGGR → REACH → ACT → LEARN
The intelligence loop, in motion

This is a loop, not five unrelated tools.

Each agent hands real context to the next. What Learn discovers goes back into the same ontology every other agent reads from.

Signal
Signal
Sees what changed.
Diggr
Diggr
Works out what it means.
Reach
Reach
Finds who matters.
Act
Act
Gets approved work done.
Learn
Learn
Feeds outcomes back in.
↻ Back into the shared ontology — HelmGraph gets more useful over time, not just bigger.
See it work

See what happens when AI understands your world.

Give Helm a job. This runs the real intelligence chain on a real researched company — not a script.

01 · SignalDetect
02 · DiggrUnderstand
03 · ReachConnect
04 · ActGovern
05 · LearnImprove
06 · ResultOutcome
Acme AI Inc opened 12 roles: Sales, Marketing and Engineering.
80%Relevance
60%Urgency
70%Confidence
Direct workforce hiring activity — open roles are typically time-sensitive to a business built around people and talent.
Real screenshot, not a mockup
Signal's real result screen, showing Acme AI Inc opened 12 roles
Acme AI Inc raised $750M at a $44B valuation, has 109 open roles, promoted its CTO to Co-CEO, and is expanding into AI spend management.
62/100Score
WarmBand
100%Confidence
Fresh capital, continued engineering hiring, and a leadership reshuffle elevating technical leadership — together, this reads as Acme AI Inc scaling its technical organisation. That's an inference from the pattern, kept clearly separate from the facts behind it.
Real screenshot, not a mockup
Diggr's real result screen, showing facts kept separate from its inference
Two contacts at Acme AI Inc. One verified. One caught before it became a mistake.
VerifiedMorgan Lee
ConflictedJordan Blake
The second contact was attributed to "Acme Metering Solutions" — a different company with a similar name, not the actual research target. HelmGraph's entity resolution catches that and blocks it rather than returning it as if it were real. This is the exact failure pattern that produced 25%+ bounce rates for the provider this was built in response to.
Real screenshot, not a mockup
Real Reach screenshot: Morgan Lee, contact verification state VERIFIED, with evidence shown Real Reach screenshot: Jordan Blake, contact verification state CONFLICTED, attributed to a different company
A human approved contacting Jordan Blake. HelmGraph still blocked it.
ApprovedBy a person
BlockedBy the trust layer
Governance approval and data trust are separate gates on purpose. A person saying yes doesn't override a conflicted contact — sending still requires an explicit, audited override on top of that approval, not instead of it.
Real screenshot, not a mockup
Real Act screenshot: action approved by a human but blocked by the trust layer, with an audited override option
Outcome recorded as simulated — it doesn't count toward evidence yet.
1Event so far
ObservationMaturity
3+Needed for a pattern
A single event — real or simulated — is never enough to become a rule. HelmGraph's maturity ladder needs several independently observed outcomes to agree before anything changes, and a simulated one never counts toward that at all.
A warm, evidence-backed path into Acme AI Inc's VP Engineering — ready to review, not guessed at.
Every number above traces back to a real, cited source. Nothing here was invented to make the demo look good — and if HelmGraph didn't know something, it would say so instead of filling the gap.
This is real HelmGraph output — the Acme AI Inc research scenario used throughout the live platform.
The platform

Everything connected. Built for what's next.

One connected graph. Five specialist agents. One continuously learning intelligence layer — not five separate tools bolted together.

Loading the live platform…
Why HelmGraph exists

AI shouldn't understand less of your organisation as it gets smarter.

Most enterprise AI
"What can we automate?"
VS
HelmGraph
"How does this organisation actually work?"

Your people. Their skills. Their relationships. The decisions they make. The knowledge they carry. The systems they use. The agents working alongside them. And the outcomes all of that creates.

HelmGraph turns that into a living ontology of the enterprise.

That means adding people doesn't just add users. It makes the intelligence layer better. Agents still automate the work that should be automated — but rather than replacing human knowledge, HelmGraph gives agents the context to use it.

1
More participation
↓
2
Richer ontology
↓
3
Better context
↓
What HelmGraph is built to turn into better decisions, better outcomes, greater return.
The Human in Helm isn't accidental.
Human Enterprise Logic Model
We're not building AI to understand how to remove people from an organisation. We're building AI that understands the organisation because it understands the people inside it.
People make HelmGraph smarter. HelmGraph makes people and agents better.
Helms & LLMs

LLMs know a lot. Helms know your business.

Built on HelmGraph

One graph. Different worlds.

HelmGraph is the underlying engine and ontology. Each Helm applies that same architecture to a specific world — different domain, same intelligence layer underneath.

One engine. Different ontologies. Different worlds.
Why trust AI with your business?

Evidence, context and control — not a black box.

Reach trust layer
"Reach doesn't give you contact data. It gives you contact data with evidence."

Every contact Reach finds is checked against the company you actually asked about — not a similarly-named one it happened to turn up. A contact only clears to send automatically once it's independently corroborated; anything less asks for your sign-off first, every time, not just the first time. Nothing gets dressed up as more certain than it is.

Evidence-backed

Every claim traces back to a real source. Fact and inference are never blended — HelmGraph shows you which is which.

Human approval

Act never executes without sign-off. Governance levels control exactly what's allowed to run autonomously.

Honest by design

The platform distinguishes drafted from sent, and simulated from observed. It won't dress up a placeholder as a result.

Your context, not generic data

The shared model reflects your organisation specifically — not a one-size-fits-all dataset sold to everyone.

Built for a more intelligent tomorrow

Turn organisational knowledge into a competitive advantage.

HelmGraph connects the knowledge, people and relationships already inside the business and gives AI the model it needs to do meaningful work.

Talk to us

We're early stage. Let's talk about your world.

If HelmGraph looks like something useful for your business — or you just want to know more about how it actually works — I'd like to hear from you. I read every message myself.