Data platforms

The platforms your decisions, models and agents run on.

We build two layers: the data foundations your reports and models run on, and the context that lets AI understand your business. Our platforms have handled more than 1000 PB for banks, operators, health systems and governments, and our teams can run them around the clock.

Talk to us See the results

ERP CRM Billing Sensors Call logs Spreadsheets HR Partner feeds Data platform Quality rules Lineage Access control Business context Dashboards Models AI agents Regulators

Every system keeps its own version of the customer, the order and the asset.
Pipelines bring it together on the cloud you already run, without stopping the business.
Quality rules, lineage and access control on every table, and a model of the business that AI can reason over.
Dashboards, models, agents and regulators all read the same numbers.

Illustrative architecture

1000 PB+Data processed for clients since 2016.

11Business units on one data mesh for a transport group, with 3× faster analytics.

50%Lower IT infrastructure cost for a US health system's real-time platform.

24/7Managed operations for a telecom operator's data platform.

Data foundations.

Pipelines, warehouses and governance, sized to the decisions they serve, built on the cloud you already run and handed over with the people trained to keep them.

Lakehouse and warehouse

Cloud data platforms on AWS, Azure or Google Cloud, migrated from legacy estates without stopping the business.

Data mesh and governance

Domain ownership, catalogues, quality rules, lineage and access control, so every team trusts the data it is given.

Real-time pipelines

Streaming data for care decisions, network operations and payments, where a day-old report is no use.

Managed operations

We run the platform around the clock: monitoring, cost control, upgrades and the on-call rota, with the numbers reported monthly.

Context, so AI understands your business.

Clean tables record what happened. Models and agents also need to know what it means: which contract belongs to which customer, which rule applies, and who may see what. We build that layer on top of your data. Addo Context

Business ontology

Customers, contracts, products and cases, with the relationships and rules that link them, mapped once across every system.

Documents as knowledge

Contracts, policies, emails and scans read into cited knowledge that sits beside the structured data.

Permission-aware retrieval

Each model and agent reads only what the person it works for is allowed to see, with rights inherited from the source systems.

Lineage to the source

Every answer traces back to the record and the document behind it, so an auditor can follow it.

Three engineers sketching a data architecture on paper at a long desk

Where Addo started.

Data engineering and governance were our first work, for telecom operators, banks and health systems, years before agents existed. The models and agents we deploy today run on platforms built this way.