HumanGraph predicts each player's value, VIP potential and churn onset from their first sessions. That is the window standard reporting cannot see. One API into the CRM, BI, CDP and data warehouse you already run.
Works even at launch. Cold-Start calibrates before your first player generates history.
Traditional analytics tells you what already happened — your highest-value players surface weeks after registration, your at-risk players flag only after they've gone quiet. And the predictive tools? They wait for months of history. So your newest players and new markets sit unscored while the decisions that matter most get made.
Those decisions — where to put acquisition spend, which players deserve VIP attention, when to step in on churn — all depend on intelligence that arrives early enough to act on.
HumanGraph delivers the earliest possible signal on every player — including from zero history, on day one of a new brand or market — so value, VIP and churn reach your teams early enough to act on, not after the fact.
Day 1 — D1LTV signal generated from first-day activity
Week 1 — Early VIP candidates identified before traditional tools flag them
Month 1+ — Churn onset detected early enough to intervene
Teams often need to act before value becomes fully visible.
By the time patterns are obvious, the best moment to respond may be gone.
Earlier signal quality can matter more than later certainty.
Outcome Ranges
5–30%
Acquisition ROI improvement
20–30%
LTV uplift from early classification
15–30%
Churn reduction via earlier intervention
Directional ranges modelled from real operator data — not guaranteed outcomes; precise impact is measured against your own.
Three engines, one signal layer — working inside the stack you already run.
Launching from zero data? Cold-Start seeds all three engines with calibrated market priors from Day 1 — then graduates into recurring use as your own signal takes over.
Pseudonymised activity flows in. Three predictive signals flow out — straight into the systems your teams already use.
Every week of waiting for "enough data" is a week of misallocated budget, unspotted VIPs, and silent churn. Our thesis is simple: decision-grade signals belong at Day 1 — not at the end of the quarter.
Read the manifesto →
The tidy operator in vendor decks doesn't exist. These do.
A 20-minute conversation to understand your current player intelligence stack and see if there's a fit. We'll share what top-performing operators are doing differently with Day 1 intelligence — no pitch, just an honest conversation.
Whether you're already operating or launching from zero, it starts with one conversation. New operators can also explore Cold-Start.
Discovery call
20-minute conversation about your player intelligence challenges
Fit assessment
We evaluate whether HumanGraph can deliver measurable value
Pilot scoping
If there's a fit, we design a focused pilot against your data
Signal validation
Measure accuracy and business impact in your environment
HumanGraph brings together experience across data science, technology platforms, and the iGaming industry.

Andrey Lagunov
Co-Founder & CEO
Serial entrepreneur. Previously built a B2B SaaS platform serving Tesla and Google.

Nicolas Benitez Parejo
Co-Founder & Chief AI & Data Officer
15+ years in iGaming. Built autonomous decision systems converting behavioural data into measurable growth.

Kirill Vladimirov
Co-Founder & CTO
Over a decade architecting data-intensive platforms across enterprise systems and AI/LLM integration.
Book a 20-minute discovery call to see how early player intelligence could change the way your team makes acquisition, VIP, and retention decisions — we'll share what we're learning across the market.
Lightweight integration. Controlled scope. Decision-grade evidence.
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