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Engagements

What we do.

Four capability areas. We take large enterprise engagements and small outsourced projects alike, scoped to the problem.

01

Data Platforms & Engineering

The warehouse, the pipelines, and the high-stakes migrations underneath everything else. We design environments teams actually trust, and move data between them with rehearsed cutovers and reporting continuity checks.

  • A modelled, governed warehouse with sensible access and cost control
  • Pipelines that run on their own, with monitoring and reporting-continuity checks
  • Rehearsed migration cutovers with reporting kept live throughout

Related work: Data-centre exits, on-prem to cloud. Reporting never went dark., Moved a 2,000-repo GitHub estate to the cloud.

SnowflakeBigQueryDatabricksdbtMigrations
02

Analytics & Business Intelligence

Reporting people actually trust, running without anyone babysitting it. We connect dashboards to real sources, define the metrics once, and take the manual prep off your team's plate.

  • Agreed metric definitions the whole team can trust
  • Automated pipelines that update reports without manual prep
  • Dashboards connected to real sources, in Tableau or Power BI

Related work: Automated spreadsheet preparation and risk-assessment QA., Custom ML for operations, and a reporting rebuild that cut planning time.

TableauPower BIPythonSQLMetrics
03

AI & Knowledge Engineering

The content an AI agent reads decides whether it answers right or answers confidently wrong. We audit and re-engineer that layer, so retrieval systems and support bots ground their answers instead of guessing.

  • An audit of your content against the questions customers actually ask
  • A re-engineered knowledge layer so retrieval grounds its answers
  • Evals that catch contradictions and gaps before users do

Related work: A SQL-support agent's knowledge base, re-engineered., A factory floor that reports itself over WhatsApp.

RAG-readinessKnowledge BasesEvalsHallucination Reduction
04

Data Strategy & Governance

The plan before the build, and the guardrails that keep it honest. We help you decide what to fix first, who can touch what, and how to get AI-ready without tripping over data you can't account for.

  • An honest read of where your data stands and what to fix first
  • A roadmap that sequences the work by impact
  • Governance that stays defensible as you scale, including DPDP obligations

Related work: Data governance guidance inside Claude projects.

AI ReadinessGovernanceDPDPRoadmaps

Ways to work together

Every engagement is scoped to your problem, not sold as a retainer. Three shapes that work depending on what you need.

Project

Fixed scope, fixed outcome. A defined piece of work — a migration, a dashboard rebuild, a knowledge-layer audit — scoped, priced, and delivered end to end.

Embedded contract

Senior capacity on your team for a stretch. Hands-on delivery alongside your engineers, by the week or month, when you need the horsepower without a permanent hire.

Advisory

The plan and the guardrails. Periodic or ongoing guidance — roadmaps, governance, AI-readiness reviews — for teams that own delivery but want a senior read on direction.

Not sure which fits? Tell us your situation and we'll point you to the right one, even if it isn't us.