Data engineering & infrastructure

We lay the foundations that turn complex data into reliable, usable intelligence.

Every AI system inherits the quality of the data beneath it. We build the platforms that collect, process and serve that data: fast enough for real-time products, governed well enough for regulated environments and simple enough for your teams to operate.

What we do

Data platforms, pipelines and architecture

Ingestion, storage and transformation designed as one coherent platform, with clear ownership of each dataset and pipelines that fail loudly instead of silently.

Real-time processing and high-performance systems

Streaming and analytical systems that answer in milliseconds over billions of rows, for products where latency is part of the experience.

Scalable cloud, hybrid and on-premises infrastructure

Infrastructure that grows with your volumes and runs where your constraints require: public cloud, your own data centre, or both.

Data integration, governance and reliability

Connected sources, documented lineage, access control and quality checks, so that the numbers are trusted and the audit is straightforward.

Questions we help answer

Can our current data platform support the AI use cases we are planning?
Where can we cut query times and infrastructure cost at the same time?
Which workloads should stay on-premises, and which belong in the cloud?

Related work

SaaS

Global SaaS platform

Analytics migration from Postgres to ClickHouse.

shorter query times

95%
lower costs

70%
Blockchain

Stellar blockchain

Real-time analytics across billions of transactions.

ledgers on the network

65M+
query time

<1 s