Offer
We build the data layer that makes your AI safe.
We model your business as an ontology — objects, relationships, rules — grounded in your systems, files and documents. Then we build the platform to put AI on top, so agents act on what your business actually is, not on a guess.
The data layer is what makes AI safe. AI is what makes the data layer powerful.
THESIS / 01What we do
From source systems to accountable agents.
Model your business as an ontology.
Objects, relationships and rules — one coherent model of what your business is, grounded in your real systems. This is the map everything else runs on.
Build the data layer and semantics.
We turn scattered, raw source data into clean, governed semantics your whole organisation — and your AI — can rely on. Named the way your business names things, not the way the systems store them.
Establish data lakes and warehouses.
Lakehouse and medallion architectures on the cloud you already run. A single, trustworthy foundation for reporting, analytics and AI — not another silo.
Build agentic workflows — human in the loop.
Once the ontology is in place, we build a platform for AI agents on top of it. Your choice of LLM, or fully local models when data can't leave the building. People stay in the loop by design: agents propose, your team decides.
How we work
Grounded in your real systems.
We start from the actual business model and the scope based on first-principles breakdown and identify and source relevant data. We source what's needed and build the foundation.
LLM-agnostic.
Bring your own model, or run everything locally for full data control.
Human in the loop.
Trust before autonomy. Agents suggest; your people sign off.
Built to hand over.
You own the platform, the model and the knowledge when we're done.
Selected work
- 01
Group data warehouse — six entities, with consolidation.
Semantic data layers in a medallion architecture on Azure, with SAP as the primary source. One consolidated financial picture across the group. Multicurrency, multientity, complete drill-down in all data dimensions.
- 02
Regulatory reporting for a bank (COREP).
Designed and built a data warehouse to automate capital-adequacy reporting under EU 575/2013.
- 03
Financial management & reporting automation.
Advisory on financial systems and the automation of reporting workflows.
- 04
Customized interfaces/apps running CRM, CPM and Financial Reporting in one interface and datalake for an SME.
One place to work — CRM, CPM and financial reporting unified on a shared datalake, tailored to how the business actually runs.
Let's talk
Tell us where your data lives today. We'll show you the ontology hiding inside it.
In the making: Anclab Mimer — the ultimate platform for the SME. More soon.