For iGaming operators
The agentic platform for player bonuses. Per-player AI agents that learn. Operators see an 80% lift in ROI on bonus spend.
The problem
Operators waste 60%of their bonus spend on the wrong players, at the wrong moments, in the wrong sizes — because cohort-based campaigns can't see individual elasticity, lifecycle, or risk.
How it works
Live in product
What you see. What every player feels. The dashboard summarises millions of decisions; each player gets a journey shaped to their elasticity, lifecycle, and risk profile.
Why now
An agent decision was 60× more expensive in 2023. Today it costs less than a penny — and the operators deploying them now are taking the retention lift you're not.
Outcomes
Across treated cohorts vs. a rules-based control group. Lifts hold after the calibration window and compound over the player lifetime.
Newly registered players who place a first bet
Players still active 30 days after sign-up
Incremental monthly revenue per treated player
Safety & compliance
Autonomous decisioning isn't deployable if it breaks compliance. Canon enforces responsible-gaming and jurisdictional rules as part of every decision — and produces a regulator-ready audit trail by default.
Every agent decision passes through responsible-gaming guardrails — loss-chasing, stake escalation, session duration, deposit decline. At-risk players get bonuses held or blocked, not nudged harder.
Every decision is logged with the signals, model version, and policy that produced it. Regulators can trace exactly why a player got what — at a per-decision level.
Bonus rules, wagering requirements, age and identity checks, and spend caps adapt to each player's market. New rules ship as policy updates, not engineering work.
Set spending caps, frequency limits, cool-down windows, and exclusion lists. Canon optimises within them — never around them.
We're onboarding a small set of iGaming operators. Tell us what you want to lift — activation, retention, ARPU — and we'll show you Canon running on a sample of your players.