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[service]

Data products and platforms

Make data usable, trusted, and cheap enough to power AI at scale.

What we do

  • Customer, product, and operational data products with owners and SLAs
  • Lakehouse and warehouse architecture on Databricks, Snowflake, and Google Cloud
  • Pipelines, quality checks, and lineage that survive team turnover
  • Platform economics: storage, compute, and licence costs modelled before build

AI is only as good as the data it can reach. We build the foundations as products — with consumers, contracts, and a cost line — so every downstream use case starts from something reliable.

Like every LoxiLabs engagement, this runs through Find, Prove, Build, Scale, with P&L impact as the measure and production readiness set before any demo.

[related]

Accelerators

Customer 360 Accelerator

Unify fragmented customer data into one actionable view that marketing, sales, and service can act on.

4–6 weeks

AI Agent Ops Framework

A delivery and operations framework for running AI agents in production with confidence.

Framework

B2B Intelligence synthetic segmentation

Model and segment business markets where first-party data is thin, using synthetic and enriched data.

Offering

Ready to move from pilots to P&L?

Tell us about the decision or workflow you want to change. We'll come back with an honest view on whether it's worth proving, and what it would take.

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