Updated on 1 September 2026
Data Engineering & AI-Powered Business Intelligence
About
Great AI runs on great data. We design and build the data foundations that make AI and analytics work at scale — from cloud-native data architectures (Data Lakes, Lakehouses, streaming and batch pipelines on Azure, AWS, GCP, Databricks) to data governance and quality frameworks that make information reliable, accessible, and AI-ready.
On top of that foundation, we deliver AI-Powered Business Intelligence: interactive dashboards, 360° operational views, and real-time reporting that integrate seamlessly with your existing BI stack. We embed predictive analytics and smart alerting directly into operational reporting, and increasingly add agentic BI capabilities — LLM-powered automated monitoring, narrative reporting, and conversational data interpretation.
The result is a single, trustworthy source of truth that turns raw data into decisions.
Type
- Development
Applies to
- ENHANCING DIGITALIZATION IN CIRCULAR ECONOMY PROCESSES
Organisation
Similar opportunities
Project cooperation
InnoTrace – Connecting Operational and Environmental Data for Automated EPD and LCA
- Project Idea
- Looking for Partners
- Prototype development
- Proposal in preparation
- Testing the product/application
- Looking for Consortium / Coordinator
- Enhancing Digitalisation in Circular Economy Processes
Magne Koren
CEO, Process Engineer at Innoveria
Hamar, Norway
Service
Custom Software & Technology Enablement
- Development
- ENHANCING DIGITALIZATION IN CIRCULAR ECONOMY PROCESSES
Athanasios Balomenos
CTO and Co-Founder at LIBRA AI Technologies
Athens, Greece
Project cooperation
Monitoring & Verification of Adaptation Measures
Iván Aguilera Jurado
BDM Digital Europe RD at Funditec
Madrid, Spain