The bigger the AI ambition,
the stronger the data foundations have to be.
AI does not lower the bar on data: it raises it.
We see the same thing at every client. To run in production, AI needs data that is reliable, governed, accessible and understood in its business context.
We work end to end: from building the data foundations through to advanced use in analytics and AI.
Engineering & governance
Traceable data, ready to use
Analytics & BI
Insights your business teams can act on
AI Foundation
The technical base that gets your AI projects ready
Governance & cloud
From public cloud to sovereign, as your needs dictate
Every investment has to return something measurable. No data for data's sake, just steady value drawn from an asset already sitting in your systems.
OUR DATA OFFERINGS
Three disciplines, one logic
Consulting & Strategy to frame it, Data Foundation to build it, Governance to make it reliable.
Three complementary offerings that cover data end to end.
Consulting & Strategy
Roadmap & priority use cases
Target model & value case
Data products that serve the business
Data Foundation
The platform & data engineering
6 areas of expertise, one single base
Modern stack, lakehouse, sovereignty
Data Governance
Quality, observability, lineage, compliance
Governed data products & productization
Analytics & visualization you can trust
Design & Run, across every offering
We do not just design. On every data offering we also handle the run: continuous supervision, quality held steady, costs optimized over time. You do not have to choose between building it right and running it for years.
Consulting & strategy offering
Data strategy: frame it before you build it.
We start from your business challenges to set the data roadmap: the use cases that matter, the target model and the value expected. AI use cases are built into that framing from the start, not added afterwards.
Roadmap & framing
Data vision, use cases ranked, a roadmap that is realistic and measurable.
Target model
Data architecture, organization and operating model aligned with the ambition.
Data products & value
We turn data into reusable products the business can consume directly.
Data Foundation offering
Data Foundation, the heart of the engine
The engineering that sets your data in motion, from collection through to delivery.
The Data Platform is the core of the setup. Around it, five further disciplines come into play depending on your context and your priorities, all sitting on the same base.
Governance frames every use. AI can then lean on data that is reliable and understood in its business context.
Data Platform
Hub / Warehouse / Lake / Lakehouse
Modeling approaches (Data Vault, Star Schema)
Snowflake, MS Fabric, SAP BDC, Databricks
Data Movement
Collection & ingestion (ERP, SaaS…)
Connectors & control of the sources
Real time or batch
Data Engineering
Transformation pipelines
Advanced SQL, Python
Industrialized ELT
Data Analytics & Visualization
Interactive dashboards & reports
BI modeling
Business user training
Data Science
ML models & scoring
ML engineering
Industrialization
AI Foundation & Agents
AI runtime, automation
GPU compute pool, vectorization
API management
Data Governance offering
Data Governance: governed data is AI that reasons straight.
The engineering that sets your data in motion, from collection through to delivery.
The Data Platform is the core of the setup. Around it, five further disciplines come into play depending on your context and your priorities, all sitting on the same base.
Governance frames every use. AI can then lean on data that is reliable and understood in its business context.
Governance
Roles, policies, catalog and data ownership, from producer to consumer.
Data quality
Quality rules, automated controls, remediation at the source.
Observability & lineage
End-to-end traceability, freshness, anomaly detection across the flows.
Data products & analytics
Governed productization, self-service, and analytics & visualization you can trust.
The right order for trustworthy AI:
For AI to answer you in plain language and be right, governance and data products come first. Data first, conversation second.
Our three Data disciplines all chase the same goal: giving AI the business context it needs to create value. Together they bring the framework, the quality and the semantics that make AI relevant and effective. With that context, it can take on your most strategic use cases and deliver measurable impact.
Clean, traced, under control.
Data packaged and ready to use.
The business semantics that guide the agent.
The engine that reasons over that context.
The decision carried out, the workflow automated.
This is the path your AI value is built on.
To go further and faster, we can connect our KAIYAN solution to your systems, a platform we run in production to put your data to work for your agents. Agnostic and cross-vendor, it keeps its own costs in check too, and it is already deployed at dozens of clients.
What data proves, at our clients.
Migration, value creation, modernization: three different data situations. Three KPC answers, all in production.
Transport & logistics
Global shipping company
Retail & distribution
Subsidiary of an international hotel group
Automated product benchmarking on Snowflake: scan an invoice, get a costed recommendation. Used daily by the sales teams, not a POC.
Manufacturing
Global industrial equipment manufacturer
