bet to make. That decision still sits with the CEO, with no system, no infrastructure, and full personal accountability for the outcome. The result: 80% of features built are rarely or never used (Pendo), costing the average mid-market company $1M per year in wasted engineering. AIPath is the decision layer that was never built. Winner of the $1M AI Agents Global Challenge. Recognised within Gartner's inaugural Decision Intelligence Platforms Magic Quadrant category, January 2026.

Explore - Maps the full combinatorial space of possible growth strategies, ranked by probability. Surfaces the segment, product, and GTM bets with the highest-leverage potential before a single line of code is written. Model - Structures your specific market into a connected digital twin that updates continuously. Competitor positioning, unmet customer jobs, and segment dynamics modeled as a living system, not a static deck. Compound - Improves every decision through continuous feedback and reinforcement learning. Unlike consulting engagements that disappear, AIPath gets smarter about your market every week. After 18 months, switching cost is measured in lost strategic memory, not lost software. Decision Intelligence above the existing stack - Sits upstream of Jira, HubSpot, Productboard, Gong, Salesforce, and Snowflake. Those tools execute and describe. AIPath decides what they should execute on. The result: CAC reduced from $240 to $43 (insurance category), and 17-minute strategy screens that exceed what 50-person teams built in 18 months.