Part of OxyIntelHealthcare OperationsPrivate betaBuilt for a client

OxyFlow

Forecasting that gets better every time reality disagrees with it

OxyFlow
OxyFlow screenshot

The problem

Most forecasting tools ship a model once and never look back. Nobody records what was predicted, nobody compares it to what happened, and the forecast quietly drifts away from reality.

What we built

We built the feedback loop into the product. Every prediction is stored, operators can record the real outcome against it, and scheduled retraining promotes a new model version only on its measured metrics.

Built for

Plant and facility operators planning production against demand

Key capabilities

What OxyFlow does

  1. 01

    Operations dashboard

    Production and consumption at a glance, with the current forecast alongside it.

  2. 02

    Prediction logging

    Every prediction is recorded with the inputs that produced it, so results can be audited later.

  3. 03

    Outcome feedback loop

    Operators record what actually happened, turning day-to-day use into training data.

  4. 04

    Versioned model registry

    Model versions are stored with their metrics, and exactly one is marked active at a time.

  5. 05

    Scheduled retraining

    Background workers retrain on the accumulated feedback without an engineer running a script.

Built with

DjangoCeleryscikit-learnReact

Want something like this for your business?

We built OxyFlow end to end. Tell us what you are trying to solve and we will tell you what it takes to build it.

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