FROM FRAGMENTED SOURCES TO DATA IN USE
datappliedTHE PLATFORM

Your data, brought together. Intelligence that works on it. Access wherever you need it.

01 / THE DATA FOUNDATION

datasset

Your internal and external data, brought together around your business domain.

02 / THE INTELLIGENCE

datagent

Agents that structure, model, enrich and continually maintain your data.

03 / HOW YOU CONSUME IT

dataccess

Access through APIs, MCP, interfaces and feeds, for people and systems.

Datasset is a living data asset. Datagent shapes and improves it; Dataccess makes the resulting intelligence available wherever it is needed.

Explore the full data flowHide the full data flow
01 / DATASSET

datasset

Your data foundation, built from sources such as these. Datagent shapes it into a maintained model of your domain.

02 / DATAGENT
datagent

A software agent configured to discover, connect, model, enrich and maintain data for a defined business purpose.

A custom model built for your data.
Hosted privately. Continuously maintained.
03 / DATACCESS

dataccess

Ready wherever it's needed.

EXPLORE THE FLOW

Data lives everywhere. Datapplied makes it useful. Ready wherever it's needed.

Illustrative architecture. Sources, controls and access methods are agreed for each engagement.

Explore the Datapplied platform
MISSION

We turn fragmented data into connected, usable intelligence for people and systems.

01

Discovery & advisory

Define the question, assess the sources and specify what is worth building.

Explore discovery
02

Data engine development

Build the models, pipelines and agent work that turn raw inputs into a maintained data asset.

Explore development
03

Distribution engineering

Engineer access through APIs, MCP, interfaces and feeds for the systems and people that consume it.

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VISION

Data that flows effortlessly from wherever it exists to wherever it creates value.

From wherever it exists.

Enterprise systems, documents, websites and third-party datasets all hold pieces of the picture. The aim is to connect the relevant sources around a shared business purpose.

Useful as it changes.

A data asset needs to evolve with its sources. Modelling, enrichment, validation and maintenance keep the information coherent as new records, corrections and signals arrive.

To wherever it creates value.

Applications, AI agents and people need different ways to consume data. APIs, MCP, interfaces and feeds bring the resulting intelligence into the workflows that use it.

START A CONVERSATION

What could your data do next?

Tell us where your data is fragmented, difficult to maintain, or hard to use. We’ll start with the question you need to answer.

Talk to us →