Use Cases

You bring the idea.
Here's what the factory builds.

Centaur is domain-agnostic. These are the patterns we see most — and how governed agentic delivery solves them for businesses of all sizes.

Ship a product idea without a dev team

Centaur

Startups and SMBs with an idea but no engineering headcount

Challenge

You have a clear product idea but hiring a development team takes months and costs more than the runway allows. Freelancers are inconsistent. AI tools alone produce ungoverned, unmaintainable code.

How we solve it

Brief the Centaur factory. Pete captures requirements, Maya designs the architecture, Nic builds, Ralph gates quality. You see everything in Mission Control. The output is governed, documented, production-ready software.

First working build in days. Production-ready in weeks.

Replace a contractor team

Centaur

Growing businesses scaling delivery without scaling headcount

Challenge

Contractor teams are expensive, create knowledge silos, and walk out the door with context. Onboarding costs are high. Delivery is inconsistent.

How we solve it

Centaur operates continuously, maintains persistent memory, and never loses context between sessions. Terence is always up to speed. Ralph ensures quality. Pete tracks every project. You get a full engineering team without the overhead.

Ongoing engagement — retainer model.

Build a governed data platform on Databricks

Blueprint

Businesses with data on Databricks needing a production lakehouse

Challenge

Building a governed, production-ready medallion architecture traditionally takes months. Data modelling, engineering, QA, governance, deployment — all manual.

How we solve it

Blueprint (our Databricks accelerator) auto-profiles your API sources, generates validated specs, and produces deployment-ready DLT pipelines with Unity Catalog governance. Managed and governed by Centaur.

Proof of value in days. Full medallion pipeline in weeks.

Build a governed data platform on Microsoft Fabric

Schemata

Businesses on Fabric or migrating to it

Challenge

Fabric is powerful but complex. EventHouse, DirectLake, medallion notebooks, fabric-cicd — doing this well requires deep platform expertise and significant engineering time.

How we solve it

Schemata (our Fabric accelerator) handles the dual-stream architecture: EventHouse ingest → Lakehouse medallion → DirectLake BI. Governed end to end, deployed via Centaur.

POC in a week. Full deployment in 4–6 weeks.

Accelerate an AI-ready data layer

Blueprint / Schemata

Businesses building AI applications that need clean, governed data

Challenge

AI use cases fail when the data layer is wrong. Without medallion architecture and quality enforcement, AI models train on garbage and produce unpredictable results.

How we solve it

The factory produces Bronze (ingest) → Silver (conforming) → Gold (domain model) with quality enforcement at every layer. The output is an AI-ready, governed data layer your models can trust.

4–8 weeks to production-ready AI data layer.

Not seeing your use case?

The factory is domain-agnostic. If you have an idea and a goal, the factory can build it.

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