We run a brief discovery sprint first, figuring out KPIs, verifying data readiness, and designing a pilot. After that, we will show you the result of a working prototype in a few weeks.
Yes. We can establish connections between your warehouses, lakes, and BI tools that are running on Azure, AWS, or GCP.
Some of these are Private networking, encryption, access controls, and governance. We follow industry standards as well as your internal policies.
We handle data quality issues, create data pipelines, and, in case production requires it, we can deploy augmentation or synthetic data.
Surely, MLOps, monitoring, A/B testing, retraining, and continuous improvement are parts of the package.
Success would be business KPIs (cost saved, revenue gained, cycle time reduced) that are logged and can be directly traced back to each release.
