Previous Projects

Below you can explore some of our projects we are proud of — each reflecting our commitment to innovation, impact, and responsible technology.

Our Philosophy

At Indigma, we believe innovation must be both powerful and principled. Our work is grounded in Responsible AI—prioritizing privacy, fairness, transparency, and sustainability. We merge emerging technologies with a human-centered mindset to create AI systems that empower people, drive progress, and build trust for the future.

Collaborate with us for your next project!

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FLORA

Federated Learning Ovulation tracking App with Reward System

Funded by: NGI-TRUSTCHAIN

FLORA is a privacy-preserving ovulation tracking app that utilizes Federated Learning (FL) to protect user data while delivering accurate AI-driven predictions. Unlike traditional apps, FLORA keeps data on users’ devices, ensuring privacy while collaboratively training machine learning models. It integrates Fully Homomorphic Encryption, local differential privacy, and blockchain-based consent management, providing a secure and transparent reproductive health solution.

Technologies Used:
Federated Learning
PETs
Blockchain

FLAMENCO

Privacy-Preserving Federated Learning Application for diagnosis of communication disorders in Child development

FLAMENCO applied Federated Learning to an existing software application suite, which is used to diagnose communication skills development in children, detecting potential deficiencies timely and accurately. The software suite collects data from a child’s responses to an animation game, along with heart rate readings collected from a smartwatch (worn while the child plays the game). The data is then sent and stored into a cloud data hub and analyzed using AI-based classification techniques. The outcome is a risk indicator that suggests the likelihood of a child developing  any learning and communication disorders.

Technologies Used:
Federated Learning
Fully Homomorphic Encryption
Differential Privacy

PROMOTE

Tools for Promoting Tourism Experience

Funded by: RESEARCH – CREATE – INNOVATE (project code: Τ1EDK-02474)

In the project “PROMOTE” applications were developed to enhance the tourist experience, helping visitors find answers to a series of questions: Where should I go? Which sights are worth visiting? Where should I stay? Where should I eat? How can I have fun? How can I get to a sightseeing location or a recreational area?

Technologies Used:
Federated Learning
Recommender Systems

SUSANNA

Secure immutable System based on Blockchain for water management smart contracts

The project has created a permissioned blockchain architectural network, a Hyperledger Fabric, supporting smart contracts for the case of water utilisation management systems.

Technologies Used:
Blockchain
Hyperledger Fabric
Smart Contracts
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