Data

Anomaly Detection Service

Watches business metrics and flags unusual movements before they hurt.

5 min alertsheadline result
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The challenge

The client came to us with a clear goal — watches business metrics and flags unusual movements before they hurt. The hard part was dashboards nobody trusts.

Our approach

We started with a short discovery sprint to map the users, the data and the constraints, then moved into weekly cycles with working software in a shared workspace. Consulting, Development, Delivery and Prototyping ran as one team, so research fed design and design fed engineering without handoffs.

The platform was built on Streaming, ML and Alerts, with automated tests and monitoring from the first release.

The result

5 min alerts. The product launched in 8 weeks and we stayed on for the releases that followed — fixing what users tripped over and doubling down on what they loved.

Estimate your project

Five quick questions → a plan for your product.

01 / 05What are you building?