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Machine learning for Microsoft Fabric

We help organizations design and implement internal ML systems in Fabric, with full ownership, transparency, and operational control.

Get Started Now
Get Started Now
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Built for the real world

Practical machine learning systems designed to operate directly within your data platform. We don’t do external tools or black boxes. We build production ML workflows inside Microsoft Fabric, so models are governed, observable, and owned by your internal teams.

Production ML Models

Forecasting, classification, optimization, and anomaly detection models designed for real-world business use.

Fabric-Native ML Workflows

End-to-end training, inference, and retraining pipelines built directly within Microsoft Fabric using its native services and governance model.

Monitoring & Lifecycle Systems

Performance tracking, drift detection, alerting, and retraining patterns that keep models reliable as data and business conditions change.

Documentation & Handoff

Clear, durable documentation and enablement so internal teams can operate, maintain, and extend models independently.

How we work

We work directly within your Microsoft Fabric environment, aligning with your data architecture and governance standards to build machine learning systems designed for long-term operation.
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For organizations adopting Fabric we help establish the required data pipelines and workflows needed to support production ML, ensuring systems are built on a stable, governed foundation from the start.

See How We Work
See How We Work
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Engagement options

Engagement models designed to align with how teams adopt and operate machine learning in Microsoft Fabric.

Project-Based

A defined engagement focused on delivering a specific machine learning capability or establishing the data and pipeline foundations required to support production ML in Fabric.

Build and Monitor

An ongoing engagement covering model development, performance monitoring, drift detection, and lifecycle management to ensure ML systems remain reliable as data and business conditions change.

Advisory and Pairing

Hands-on collaboration with internal teams to design, build, and operate ML systems within Fabric. Built for accelerating delivery while developing internal capability and ownership.

Build, Deploy, and Operate Machine Learning in Microsoft Fabric

We help organizations move machine learning from experimentation to reliable production by designing and implementing Fabric-native ML systems that align with enterprise data, security, and governance standards.

Whether you’re building your first production model or scaling an existing ML footprint, we work inside your Fabric environment to ensure models are owned, operated, and evolved confidently by your teams.

Start a conversation about your Fabric roadmap

Book a Call
Book a Call
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Lunar Point Systems designs and deploys production machine learning systems that operate natively within Microsoft Fabric environments.

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