Applied AI · Human Performance
We've built something that helps them find it, and it's already working.
Request a DemoThe Problem
The people who close that gap fastest have one thing most never get: a coach who can see the actions holding them back and tell them exactly what to do about it. That coaching is scarce, expensive, and reserved for the top fraction of a percent.
Everyone else gets tools that track and display. A flood of stats, and no answer to the only question that matters: how do I improve?
How It Works
It Learns
It reads the data the performer already produces while they play, train, or operate.
It Finds What Matters
Across thousands of data points, it surfaces the inputs actually holding them back — the kind of insight only a great coach would catch.
It Gives the Next Inputs
Clear, doable instructions they can act on. Specific guidance, not just another stat sheet.
It Gets Smarter
Every session makes the engine smarter: what the performer did, what Mission Play recommended, and whether performance improved.
Where We Operate
Different environments, one Mission Play engine. No core rebuilt for sports or defense. Built once, the same engine extends to new domains without a rebuild.
Start where the product is live
The live product. SAGE reads match data and returns the inputs that make players better. Low cost to acquire, and it spreads inside ranked communities on its own.
For athletes and organizations
The same engine that coaches gamers works on motion data, outcome data, and athletic performance. Golfers already produce launch-monitor data — the exact signal our engine reads.
For operators who train to perform
Performance under pressure is a skill. Drone crews train on simulators that capture the flight telemetry our engine reads. The hardest door, and the most durable revenue.
Live
Gaming Demo Shipping
See it in action. Book a demo and we'll show you exactly what SAGE does with real match data.
3
US Provisional Patents
Covering agentic AI for gaming, athletic performance, and domain-aware data compression.
85M
Parameter Proprietary Model
We built our own engine. Not a wrapper on someone else's, not a layer on top of Anthropic or OpenAI. The model is ours.