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ML & real-time AI

Feature pipelines, streaming inference and event-driven AI — bringing models close to your live data so predictions and anomaly detection happen the moment they matter.

Feature storesStreaming MLAnomaly detectionMLOps
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unaflow · ml-ai
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What we do

Models where the data is.

We operationalise machine learning on top of your streaming platform — from features to production inference.

Feature pipelines

Consistent, reusable features on live data — the same in training and serving.

Streaming inference

Real-time scoring embedded directly in your event pipelines.

Anomaly detection

Spot fraud, outages and outliers as they happen.

MLOps

Versioning, monitoring and retraining so models stay accurate.

How we work

A clear, proven process.

No mystery, no lock-in — a path you can follow from first call to running system.

1

Features

On live data

2

Train

Reproducible

3

Serve

In the stream

4

Monitor

Detect drift

Why it matters

AI is only useful in real time.

A prediction that arrives an hour late is a missed opportunity. We put models next to your live data, so intelligence acts at the speed of your business.

  • Live predictionsScoring inside the stream, not a nightly batch.
  • Catch it earlyAnomalies flagged the instant they appear.
  • Stays accurateMonitored, retrained models that don't drift.

Tools we go deep on

The right tools for your stack — these are where our expertise runs deepest.

Feature storesStreaming MLAnomaly detectionMLOps
Let's talk

Ready to get started?

Have a model that never made it to production? Let's get it live on real-time data.

Book a free discovery call ↗