Your data sets the path
The first phase shows where the strongest signals in your process are. If the data points to a faster route to value, we bring you the evidence and a recommendation, and the rest of the roadmap stays in place.
Back to homePhases and gates,
Phases and gates,
agreed in writing.
Every engagement is built around milestones you define. Each phase ends with results measured against your criteria and a deliverable your team keeps, so you always know what you have and what comes next.
How a pilot runs
Start with one furnace. Expand when it earns it.
- 01
Connect to your process data
We work with the data your furnaces already produce. No new sensors, no rip and replace.
- 02
Baseline your furnaces and sensors
We establish what normal looks like for each furnace and each sensor, and report what the data shows.
- 03
Deploy monitoring and predictions
Drift detection and run monitoring your team can act on, measured against criteria you set.
- 04
Expand to more furnaces
What works on the pilot furnace rolls out to the rest, and to the next capability.
A roadmap that builds on itself
Reliable predictions need reliable measurements. So every engagement starts with your data and adds capability one layer at a time, with each phase delivering value on its own.
- 01
Data foundation
We connect to your furnace data and build a clean, dependable pipeline for every run. Each later phase builds on it.
- 02
Predictive maintenance and defect trends
We learn how your temperature sensors behave relative to each other, so drift shows up early. Across your run history, we show which process signatures keep preceding failed runs.
- 03
In-situ monitoring
With a trusted baseline in place, your team can see early whether a run is on track, while there is still time to act.
- 04
Simulation and prediction (Auxein)
A digital twin calibrated on data you can trust, used to test process changes before you commit a run.
We don't sell software and walk away. We work alongside your engineers as partners. You see value from the first phase, the system improves with every run, and you keep full ownership of your data. That's lower risk than a multi-year internal build, and it keeps getting better.
You define success
Before a phase begins, you set the acceptance criteria and we agree them in writing. They are specific and measurable, so everyone knows exactly what success looks like from day one.
Value from the first phase
Each phase delivers something your team keeps and can use on its own: a thermal model, a characterization of your hot zone (the heated core of the furnace), a written analysis. You see results from the start.
Every result is documented
Each gate ends with a written report of what was measured against your criteria. Whatever the outcome, you keep everything delivered, and every finding adds to what you know about your process.
A closer look at phase 02
Growing a crystal a particular way means holding a temperature gradient to fractions of a degree. This is the phase that protects it, and the one we deliver today.
Half a degree is enough
Drift is inherent to thermocouples, the temperature sensors a furnace runs on. It is gradual, and small enough that no engineer can track it by hand across every sensor and every run, so it stays invisible until a run comes out wrong or a furnace stops unexpectedly.
Half a degree of error is enough to change how the crystal cools. The controller corrects toward the wrong number, the screen still reads the target temperature, and the real gradient moves away from the one your recipe calls for.
The signal is in the relationships
Each sensor on its own looks healthy. What moves first is how the sensors sit relative to one another: which reads warmer, by how much, at which stage of the run. Machine learning and deep learning models weave together millions of readings from your run history and the thousands coming off the furnace now, and surface the subtle shifts in those relationships. Drift becomes a number you can act on and a replacement you can schedule between runs.
- Works on the process data your furnaces already produce
- No new sensors and no data overhaul before you begin
- Relationships tracked across the whole hot zone, run after run
- A replacement you can schedule before a run is at risk
What you receive at each gate
A gate is a short written report at the end of each phase. It restates the criteria agreed at the start, shows what was measured against each one, and gives a clear result.
Each report also includes early results for the next phase, tested on your data, so you decide with evidence in hand.
It reaches you before any conversation about the next phase, so every decision is made with the full picture.