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Aurenex

Advanced analytics

Decision intelligence embedded where decisions happen

Forecasting, causal inference and scenario modelling delivered inside operational tools, with monitoring that catches drift early.

How we approach it

Three commitments we hold to

01

In the workflow

Models surface in the tools teams already use rather than in a separate portal nobody opens.

02

Honest intervals

We publish forecast intervals and score our own past forecasts inside the programme.

03

Monitored in production

Drift detection and retraining triggers are part of the initial delivery, not a later phase.

Agents

Agents that work in this domain

Services

How engagements are structured

Engineering Expertise

Data Engineering

Modern lakehouse foundations with explicit data contracts, automated quality gates and end-to-end lineage, engineered so that downstream analytics and AI inherit trust rather than assume it.

  • Lakehouse and streaming architecture
  • Data contracts and quality gates
  • Column-level lineage
  • Cost and performance optimisation

Engineering Expertise

Advanced Analytics

Statistical and machine learning models delivered where decisions actually happen — embedded in the operational tools teams already use, with monitoring that catches drift before it costs anything.

  • Forecasting and demand modelling
  • Causal inference and uplift analysis
  • Decision intelligence interfaces
  • Model monitoring and drift alerting

FAQ

Questions we are usually asked

Next step

Bring a real problem. We will bring the architecture.

Thirty minutes with our architects is usually enough to tell whether a programme is ready for agents, or whether the data foundation needs work first.

Talk to an architect
See the work