// What delivery looks like

Skip the pitch. Watch the work, not a slide deck.

This is the shape of a typical build - pipelines, models, and infra, shipped to your cloud. The real one is scoped to your problem. No credit card, no demo login - the first step is a call.

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SAMPLE

// infra overview

S3 ingest-raw
EVT object-created
ECS ingest-to-lake
DL data-lake
DAG nightly-reports

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Files land in S3, an ECS task ingests them into your data lake, and an Airflow DAG runs nightly for reports and decisioning - all in your own cloud.

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// A sample build. Yours starts with a call.

// How we work

Engagement models

Every project is scoped to your problem. Pick the shape that fits - we'll quote it in the call.

1-2 weeks

Discovery Sprint

We map your data, AI, or infrastructure problem and hand you a plan you can act on - with us or without us.

Audit
Architecture
Roadmap

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per project

Build Engagement

We build the pipeline, model, or platform end to end and ship it to your cloud - tested, documented, and running.

Data
AI
DevOps

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monthly

Fractional Platform Team

Ongoing data, AI, and infrastructure engineering on tap - an ops team without the headcount.

Retainer
SRE
On-call

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// Not sure which fits? Start with a call and we'll figure it out together.