Data & AI delivery partners

Build the data foundations your next decision needs.

CodaML helps startups and ambitious teams turn business questions into practical data engineering, analytics, and AI-ready solutions—without overengineering.

DATA
→ AI

Explore the orbit

Four connected capabilities, one outcome: meaningful progress.

Select a point to see how we turn business context into practical data and AI delivery.

Explore our capabilities

Business context first. The right technical depth second. Measurable momentum throughout.

What we do

Data work that moves the business forward.

01

Data engineering

Reliable pipelines, pragmatic cloud architecture, API extraction, and data platforms designed to grow with your needs.

02

Analytics & BI

Decision-ready models, meaningful dashboards, and reporting that connects operational activity to business outcomes.

03

AI-ready foundations

An AI-first lens on your data strategy, so you can make informed investments in machine learning and intelligent products.

Deep experience across the Microsoft Azure data ecosystem, with a practical approach to open source and containerized workloads.

Designed for momentum

Start with the question. Earn the right to scale.

We work backwards from the user and the business outcome, then deliver the smallest valuable step before adding complexity.

  1. 01

    Discover

    Clarify the decision, user need, constraints, and the metric that matters.

  2. 02

    Deliver value early

    Release focused capabilities that people can use, learn from, and improve.

  3. 03

    Scale deliberately

    Evolve reliability, architecture, and AI capabilities when evidence calls for it.

Relevant experience

From a clear business problem to a stronger data practice.

Healthcare & contract management

From coupled pipelines to an event-driven data foundation.

Started with business discovery, simple Azure loading processes, and foundational Power BI models. The work then evolved toward decoupled, event-based pipelines and a measured adoption path for Microsoft Fabric and Direct Lake.

Financial reporting

Executive reporting built from the business need backwards.

Partnered directly with finance leadership to define the reports needed for monthly reporting to a European parent company, then delivered the data warehouse and reporting lifecycle from end to end.

Project details are intentionally anonymized to protect client confidentiality.

Make the next move clearer

Bring us the question you are trying to answer.

Our lightweight assessment identifies the highest-value next step for your data and AI initiatives.

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