The Science — GreenScope

The Training

Fifty thousand greens.
Every one different.

To teach a model to read any green, you have to show it every kind of green.

So we built one. Procedurally generated surfaces — every undulation, slope, swale, ridge and shelf a real green might have — paired with a physics simulator that finds the optimal putt from any point. The model learns not by memorising. By watching the physics play out, fifty thousand times.

The result: when you scan a real green, the network recognises it — not because it has seen that specific green, but because it has seen its physics.

50k

Unique greens

∞

Ball & hole positions

Tour

Green speed

Physics simulator Green 00,001 / 50,000

The Accuracy

3.93° of error.

The average gap between the model's aim and the ball's true line. In context:

At ten feet, inside a golf-ball width. At sixty, inside the three-foot circle. Closer than your eyes can read.

The Personalisation

The model learns your stroke.

Two golfers miss the same putt differently. The model adapts — and the more you play, the more it knows about you.

Stage One · Base Model

Everyone

The average read

The base neural network gives every golfer the physically optimal line. Calibrated to a neutral stroke.

Stage Two · Bias Correction

Pro

Adjusted for your misses

After ten putts, the model starts correcting for your tendencies — angle offsets and pace adjustments that track how you actually stroke a putt.

Stage Three · Your Model

Unlocked

A model, rebuilt for you

Play five rounds, and the neural network itself is retrained on your scan data. Not a correction applied on top. A model rebuilt from the ground up around your game.

Real screenshot: GreenScope Caddie's Read showing personalized tendency callouts mid-round

From a real round

Not a future feature.
Already in the app.

Hole 7 at Trump International Dubai. Two and a half degrees of break, eighty-eight feet, uphill — and three callouts the model wrote after watching the last ten putts of the round.

Different golfer, different callouts. Happening on real greens, today.

Reading greens,
reduced to physics.

Fifty thousand greens.
Every one different.

3.93° of error.

The model learns your stroke.

Not a future feature.
Already in the app.

See the line for yourself.

Reading greens, reduced to physics.

Fifty thousand greens.Every one different.

3.93° of error.

The model learns your stroke.

Not a future feature.Already in the app.

See the line for yourself.

Reading greens,
reduced to physics.

Fifty thousand greens.
Every one different.

Not a future feature.
Already in the app.