Ideas worth building.
Indigma Innovations turns research into things people use. We run R&D projects, build on-premise software and AI for real problems, support business operations and organise events.
Five things we do.
01
Research
National and EU-funded R&D projects, research partnerships, applications and pilots.
02
Implement
Our products, on-premise and edge deployments, custom software and the technologies behind them.
03
Consult
Business consultation on AI, automation and workflows, from discovery to working systems.
04
Educate
Indigma Academy: courses on the responsible use of AI, cybersecurity and digital skills.
05
Organize
Indigma Events: academic conferences, innovation workshops and promotional events.
Research we're turning into products.
Federated AI for EV fleets & V2G
ARIEL
AI orchestration that brings federated learning to electric-vehicle fleet management and Vehicle-to-Grid ecosystems.
Federated forecasting for energy communities
FLAME
Federated Learning for Adaptive Modeling and Edge Forecasting in Energy Communities.
Our Innovation Portfolio
ARIEL
Federated AI orchestration for edge systems, privacy-preserving forecasting for EV fleets and solar generation.
02FLAME
Privacy-preserving forecasting of demand and renewable production for Energy Communities, trained at the edge.
03FLORA
An ovulation-tracking app that keeps personal data on the device while training prediction models collaboratively.
What we value.
Responsible AI.
We use AI every day, and we think about what it does after we deploy it.
Research that goes deep.
We question assumptions, talk to end users and accept results we did not expect.
Built to work.
Real code for real applications, not a demo that only works long enough to win the funding.
People stay in charge.
AI should extend what people and organisations can do, not hide decisions behind automation.
Sustainable AI.
AI should be worth its footprint: efficient models, data kept where it lives, energy used with care.
From the blog.
FLAME: Building Smarter Energy Communities with Distributed AI
The way we produce and consume energy is changing. Across Europe, Energy Communities are bringing people together to produce, share and manage energy — and they need forecasting that respects privacy.
From Cloud to Edge: Building Intelligent AI for Electric Vehicle Fleets with ARIEL
As electric vehicles, renewable energy and connected devices continue to grow, so does the amount of data they produce. ARIEL shows how federated learning moves intelligence to the edge.
The Studio Ghibli Trend: What Happens When AI Steals an Art Style?
As AI-generated cartoons flood social media, a new question arises: can a machine steal an art style?