Six device formats, one player, no unified record
Every golfer with a launch monitor has data trapped in a vendor silo. Each device exports a different schema, a different idea of what a "shot" is. The player's actual ability lived in the union, and no system could read the union.
We built parsers per vendor and a normalized shot model, so every downstream feature draws from one truth. Adding a seventh format becomes a parser, not a project.
Where this transfers: any business with multiple data vendors that don't reconcile. Sales tools, inventory systems, compliance feeds, claims processors.
A 36,000-course catalog with no personal context
The licensed 36,000-course catalog is expensive, generic, and identical for every customer who licenses it. Geometry tells a player where the hazards are, not how to play.
We built a strategy model that pairs that licensed geometry with the player's own dispersion patterns and per-club tendencies. The result is hazard guidance no other product on the market can produce, because no other product holds both halves.
Where this transfers: licensed market data fused with internal forecasts. Industry benchmarks fused with customer-specific behavior. Any place a generic dataset becomes valuable only when paired with what's yours.
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Book a 15-Minute Fit Call →Recommendations no one opens are recommendations that don't exist
Every analytics product is haunted by the dashboard no one opens. Insight without surface area is dead weight. The hard part was meeting the player in the moment, on the device in their pocket.
We built native iOS and Android from a single React Native codebase, with contextual surfaces: Round Prep before the round, Caddie during, Coach after. The system shows up where decisions actually happen.
Where this transfers: any team where the difference between "the data exists" and "the data is used" is whether the tool gets opened at 2 PM on a Tuesday.
