








STEP 1
Share your use cases, key challenges, and current performance baseline. Our experts will recommend a modeling approach calibrated to your success.
STEP 2
Share your internal and third-party datasets. We’ll validate, cleanse, and normalize fields as needed. We’ll also recommend additional data points to improve detection and precision.
STEP 3
Our experts will engineer models using your data and success criteria. Throughout the process, we’ll share with you our key findings and notable patterns.
STEP 4
We evaluate the POC outcomes with you, validate performance uplift, and initiate the go-live transition.