The AI decision layer for iGaming operators — on top of Optimove, Smartico, Bloomreach or in-house. Bonus targeting, churn signals, fraud, RG and Tier-1 support. No migration. First measurable impact in 6–8 weeks.
CRM consolidation is here — Optimove just acquired Smartico. Campaign orchestration is becoming a commodity. Deciding which player actually deserves the bonus is not.
Built by Viktor Andriichuk — 14 months Staff AI Engineer at PIN-UP/RedCore (3,000+ employees), 50+ AI projects across EU/US/Canada. European Commission AI governance expert.
Works on top of the stack you already have
We don't replace your CRM. We make it decide smarter. Zero migration, zero data move.
Honest, framed by the unit economics of an iGaming operator — not by AI buzzwords.
Most retention budgets pay bonuses to players who would have come back anyway. Arctura targets only the players whose behaviour actually changes with a bonus.
Players don't announce they're leaving — engagement just decays. Arctura flags the decay early and tells your CRM team who to act on, while it still matters.
A 24/7 support team for a mid-size casino runs €15–30K/month. Most chatbots resolve ~20% and frustrate the rest. Arctura resolves the routine majority and escalates VIP and complex cases to humans with full context.
Honest by design: no fictional metrics. Industry benchmarks are cited, targets are clearly labelled, and operator-specific numbers are only claimed after validation against your own baseline.
Built on production systems, not slides
We're pre-logo by choice. What's above is the production systems the reference architecture is built on — the kind of proof a client list doesn't give you.
Optimove, Smartico and Bloomreach are excellent at delivering campaigns. They are orchestration and delivery engines. What they don't do well is the hard decision underneath: which specific player will actually change behaviour because of this specific bonus — and which player is wasting it.
Arctura is that decision layer. It plugs into the CRM you already pay for and feeds it sharper targeting, earlier churn signals and budget allocation. You keep your CRM, your team keeps its workflow, and the money works harder.
Each has a real strength. Each has a real gap when the goal is iGaming-grade retention economics. Here's how we read them.
Pro: Maximum control. The decision logic is fully tailored to your unit economics, your jurisdictions, your stack.
Gap: 12–18 months of build, scarce iGaming-AI talent on the market, ongoing ML payroll and infra to maintain. You're building infrastructure while the competitive window is closing.
Pro: Already inside the stack you pay for. No procurement, no new integration, your team's workflow doesn't move.
Gap: CRMs are orchestration engines — designed to deliver the right message to the right segment. They do not solve the harder problem underneath: which specific player will actually change behaviour because of this specific bonus. Orchestration ≠ decision.
Pro: Fast to deploy. Broad feature surface. Often a familiar brand.
Gap: No iGaming unit economics built in. Bonus abuse patterns, RG triggers, jurisdiction-specific rules and operator P&L are tunable parameters, not the core of the system. The model doesn't know what a "good player" means inside a casino.
Pro: Purpose-built for iGaming, live with real operators, and often already integrated into major platform providers — so procurement and integration can be fast.
Gap: Automates one channel rather than the economics underneath it — support cost is addressed, bonus allocation and churn are not. Distribution through a platform provider means the integration follows their roadmap, not yours. And headline automation rates are rarely published with a definition: ask how the rate is calculated and what the human baseline was.
No AI or data team in-house? Start here →
Each module ships on the same reference architecture — built in 6–8 weeks, not 6–12 months.
Stop paying bonuses to players who'd return anyway.
Protect your promo budget from bonus abuse and multi-accounting.
Catch problem-gambling risk before it becomes a regulatory problem.
Cut Tier-1 support cost without making players wait.
Reference architecture for your CTO.
One reference architecture under every module. A shared AI core (the part we keep) wrapped by adapters to your CRM, PAM, payments and chat (the part that's yours).
"Your CRM and your data stay where they are. Arctura adds the decision layer on top."
We'd rather answer them once, clearly, than hide them under marketing copy.
No. Player PII stays inside your infrastructure end-to-end. Arctura runs behind a PII boundary; the AI core never sees raw player identifiers. GDPR-native, registered in the EU, EU AI Act-aware by design.
No. Arctura sits on top of Optimove, Smartico, Customer.io, Bloomreach or your in-house CRM. Your team keeps its workflow. Your campaigns keep running. The decision layer underneath just gets sharper.
Shadow mode first. Every claimed number is validated against your own historical data before a single bonus is rerouted. No industry-benchmarked promises applied blindly to your book.
6–8 weeks, not 6–12 months. Ready connectors for the major CRMs, PAMs, payment rails and chat. One reference architecture under every module. No new data warehouse, no rip-and-replace.
Not with CSAT. Correctness is measured against a labelled baseline of what your own agents already do well, then the AI is run in shadow mode on live traffic and rolled out one topic at a time with a per-topic quality threshold. The labelled set stays with you as a regression test that doesn't age. How we prove it works →
We're at the stage where every client is a partner, not an account. We co-develop the first production release of each module with a small cohort. In exchange:
We keep the IP on the AI core. You keep your data, your customizations, and your commercial results.
Four reasons we move the needle where horizontal AI vendors don't.
Bonus abuse, player LTV, retention curves, RG frameworks (UK, SE, NL, MGA) — modelled in, not bolted on.
Every module traces to a real system that ran at operator scale — most at PIN-UP / RedCore.
Ready connectors to Customer.io, Optimove, Smartico, SoftSwiss, EveryMatrix; custom adapters for in-house.
Registered in Romania, EU AI Act-aware, player PII stays on your side end-to-end.
Viktor Andriichuk founded Arctura after 14 months as Staff AI Engineer at PIN-UP / RedCore — one of the largest iGaming groups in Europe (3,000+ employees) — where he built the production AI systems for fraud, retention, RG compliance and support quality. Earlier: AI engineering at PepsiCo, Deloitte, Health Union. 50+ AI projects across EU, US, Canada. European Commission AI governance expert.
"In iGaming every accuracy point is real money and real compliance risk. The commercial team doesn't care how clever the model is — they care whether the bonus line goes down and retention goes up. That's the only scoreboard."LinkedIn →
30 minutes. No pitch deck. We look at your retention spend, your churn pattern and your support cost, and tell you honestly whether Arctura moves the needle for you.
Or write directly: hello@arctura.eu
Written to work against us too. If we can't answer these twelve, you shouldn't buy from us either.