Roastline reads the live telemetry from your roaster and does four things no human can do in real time: project where the curve is going, predict how the cup will taste, flag defects before the drop, and adapt to your palate over time.
Each works on its own; together they change the economics of dialling in a new lot and maintaining consistency across shifts.
Roastline draws a forward projection on every live curve — where BT and RoR are heading if you hold your current settings. You see the stall coming two minutes before it lands, and can nudge the gas while there's still time.
Before the drop, Roastline reads the profile and predicts the SCA cupping score, acidity, body, sweetness, and balance — and shows you a likely flavour note set. Change the drop time and the prediction updates.
The same engine flags three roast defects in real time: baked (over-extended development), underdeveloped (too short), and scorched (charge too hot). Flagged while you can still act, not after cupping.
Through every phase — Drying, Maillard, Development — Roastline outputs a specific instruction in plain English. Not a raw number: a move. "Ramp burner to 95% at 7:30 to hold RoR into first crack."
Generic AI models predict against an average palate. Roastline's predictions sharpen toward yours.
Every cupping score you log updates the prediction model — but your best-scoring cups carry more weight. The model learns what "excellent" means at your roastery, not at a statistical average.
After every batch: a plain-language walk-through of each phase — what worked, what sagged, and the exact adjustment for next time. Saved to your roast record so nothing is lost between sessions.
With a predicted cup score updating as you roast, you can decide whether to push toward second crack or drop early without pulling a sample. Roasters using Roastline report dialling in new lots in two or three batches rather than six to eight.
Most coffee roasting software with AI features routes data through a cloud server. Roastline's AI engine can run entirely on the roastery floor: no internet required mid-roast, no latency spike if the connection drops, and your roast profiles and cupping data never leave your building.
Switch to cloud inference when you want it — useful for running a heavier model without dedicated local hardware. The AI output is the same either way; only where it computes changes.
Roastline runs on macOS, Windows, and Linux. Connect it to your supported hardware and the AI starts working from the first batch.
Try the simulator — no sign-up, no hardware — then get early access when you're ready to connect your machine.