Data for AI
Pipelines, data warehouses, and data governance that turn scattered information into a foundation ready for analytics and artificial intelligence.
A Trusted Data Foundation Your AI Can Build On
The challenge
No AI system is better than the data behind it. When information is scattered, out of date, or ungoverned, analytics and agents give poor answers.
Our answer
We design the ingestion, storage, and governance of your information so analytics, agents, and models work on complete, up-to-date, trustworthy data.
- Automated pipelines
- Data governance
- AI-ready
How we start
- 01Assessment of sources and quality
- 02Architecture and automated ingestion
- 03Governance, dashboards, and self-service
What it looks like in your industry
Situation
Sales live in the online store and marketing in another platform, with no combined view.
What we do
- We integrate both sources into a data warehouse.
- We model sales around the customer and the order.
Result
A single source of truth ready for analytics and AI.
Situation
Operations data is split between an ERP and in-house tools.
What we do
- We build automated pipelines with Airflow or dbt.
- We define quality rules and an owner for each dataset.
Result
Up-to-date reports without manual consolidation.
Situation
An organization wants to use AI on clinical documents and data.
What we do
- We turn PDFs and documents into structured information.
- We set up vector databases with access controls.
Result
Data ready for agents and RAG systems.
Illustrative example
Our process
Data Warehouses and Lakehouses
Architectures on Snowflake, BigQuery, or Databricks optimized for fast queries, controlled costs, and AI workloads.
ETL/ELT and Real-Time Pipelines
Automated ingestion with Airflow, dbt, or streaming so your data is always up to date.
AI-Ready Unstructured Data
Turning PDFs, images, and documents into structured information that models can query.
Vector Databases and Graphs
Vector databases and knowledge graphs (Neo4j) that give context to agents and RAG and GraphRAG systems.
Data Governance and Quality
Quality, security, and compliance policies so every decision and every AI answer is based on trusted data.
Dashboards and Self-Service
Visualizations in Power BI, Tableau, or custom tools that give your team a 360° view of the business.
What we've achieved
We have transformed data management at *CompetitivAG* with a complete data governance model, at *Parallel Analytics* by integrating Shopify and Klaviyo into a sales model on Snowflake, and at *Semtel* by centralizing logistics data. That experience is what turns scattered information into a foundation where AI can create value.
