Autonomous marketing optimization that discovers winning strategies through structured experiments. Each test makes every product smarter through cross-product learning and hierarchical beliefs.
No learning transfer between products. What you discovered about Product A never helps Product B.
No systematic belief decay or refresh. You're running last quarter's playbook in this quarter's market.
Your best marketer leaves, insights vanish. Nothing captured in a system that persists.
No quality validation on hypotheses. You're spending budget testing bad ideas.
Four-phase learning cycle with multi-agent architecture and adversarial critics validating every output.
Analyzes brand DNA, audience DNA, and belief system to generate testable hypotheses. Adversarial critics score each hypothesis—weak ones get rejected before testing.
Creates ad variants that isolate one variable. Alignment critics verify proper A/B structure. Human publishes to ad platform with confidence the test is well-designed.
Observes metrics with statistical gates (min 48hrs, 1K impressions). Determines winner with confidence scoring. Proposes data-backed conclusions.
Extracts insights from results. Updates confidence using Bayesian methods. Promotes strong beliefs up the hierarchy. Shares insights with sibling products.
Key Innovation: Every agent has adversarial critics that challenge its outputs. Bad hypotheses get rejected before you spend a dollar testing them.
Hierarchical belief system captures what works, promotes strong insights, and shares learning across products.
When products share audiences, insights automatically propagate. Launch a new product and it inherits everything your brand has learned.
The Advantage: Launch a new product and it starts with everything your brand has already learned—but only for overlapping audiences.
Strategy, Creative, Analyst, and Belief Intelligence agents work together with adversarial critics validating outputs. Not a single model—a system of specialized agents.
Every hypothesis scored by critics. Every variant validated for proper A/B structure. Bad ideas rejected before spending budget. Multi-phase quality gates ensure rigor.
Three-tier knowledge system (Brand → Audience → Product) with automatic promotion/demotion. Bayesian confidence updates. Time-based decay for freshness.
Sibling products sharing audiences automatically exchange insights. What Product A learns, Product B can test. Portfolio-wide intelligence.
Observation gates (min 48hrs, 1K impressions). Bayesian confidence updating. Decay functions for belief freshness. Scientific methodology, not gut feeling.
AI commits decisions immediately, emails you notifications. Review at your pace. Rollback with feedback if needed. System learns from corrections.
Shape the future of autonomous marketing. Full system access, email support, and founding pricing for early partners.