Get to know us

Our Mission

To make machine learning accessible — by removing the single biggest barrier to progress: messy, unstructured, and unusable data.

Across industries, teams spend countless hours cleaning and organizing data before they can even begin modeling. We’re changing that. Our goal is simple: deliver a clean, standardized data foundation that any organization can trust for analytics, AI, or machine learning.

We help you make sense of your messy data.
We help you make sense of your messy data.

Our Approach

We specialize in turning data chaos into order.
Our platform ingests complex, fragmented datasets — from spreadsheets to system exports — and automatically transforms them into consistent, structured, ML-ready data.

We think of it as Data Pipeline as a Service — combining automation, domain knowledge, and smart validation to make your data not just usable, but reliable.

Our Focus

While our approach works across industries, healthcare is where we started.
The volume, complexity, and sensitivity of healthcare data make it one of the toughest challenges for machine learning — and one of the most rewarding to solve.
Our early focus in this space is shaping tools that will serve any data-rich organization facing similar challenges..

woman wearing black scoop-neck long-sleeved shirt
woman wearing black scoop-neck long-sleeved shirt
Esther Bryce

Founder / Interior designer

woman in black blazer with brown hair
woman in black blazer with brown hair
Lianne Wilson

Broker

man standing near white wall
man standing near white wall
Jaden Smith

Architect

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woman smiling wearing denim jacket
Jessica Kim

Photographer