You have an ERP that doesn't talk to production. A reporting layer nobody trusts. Integrations patched on over the years, growing faster than the company did. Systems you bought five years ago that solved one problem and created three more. These are exactly the things we fix.
No off-the-shelf packages. Every engagement starts with a short paid phase that settles exactly what the work covers: you get findings, an action plan and recommendations, in writing. Then delivery, at a fixed fee, with named accountability.
Two to four weeks. We look at your data flows, your integration architecture and your reporting layer. You get a written list of what to fix, in priority order, and what each item costs. AI on the data you already have. Most companies have the data. It's just scattered.
The data foundations that trusted reporting sits on. We pull the data from the systems that produce it into one place, a single source of truth for everyone who works from those reports. Two or three dashboards that people actually open in management meetings.
ERP, accounting, production systems, third-party APIs. We design and build the integration layer that gets your existing systems talking to each other. Open standards, your data exportable at any time, easy to maintain.
15 years of engineering, delivered through consultancies like OpenCredo and Mesh-AI, for clients like Sainsbury's, Metro, Demica, Centrica and Toyota Connected Europe. Enterprise-scale data platform and AI experience, UK. We bring that same bar of work to mid-size companies in Romania and the EU, at a fraction of the cost of an equivalent UK or German firm.
Snowflake, BigQuery, lakehouse architectures. We pull the data in with Airbyte, transform it with dbt, with governance from day one. AI doesn't fail at the model. It fails at the data underneath.
API-first, event-driven, contracts-as-code. The kind of integration layer that survives team turnover.
Metabase, Superset, Looker Studio. We build the two or three views that get used, not the twenty that nobody opens.
Python, TypeScript, Postgres. Kubernetes when it earns its keep, simpler stacks when it doesn't.
Tell us what's broken, what you've tried, and what good looks like. We'll come back with what we'd start with, and what we wouldn't.
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