The biggest strength for me is how accessible the platform makes predictive modeling — you don't need a dedicated data science team to get real value out of it. Building and training models is genuinely straightforward, and the prediction quality has held up well in production.
The onboarding experience stood out too. We had our first model live and being used by our sales reps in under a month, which is faster than I expected. The support team deserves a specific callout: they run regular check-ins, respond quickly to questions, and walked us through setup step by step. It feels more like having a partner than a vendor. Review collected by and hosted on G2.com.
The main drawback is price. If you have the in-house expertise to build and deploy custom models on Google Cloud or a similar provider, you can do it more cheaply. You're paying a premium for the abstraction and support — worth it for us, but worth weighing against your team's capabilities. Review collected by and hosted on G2.com.



