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Based on 5 reviews, listing data and website checks · updated today

What is EKILOHA?

EKILOHA is an intelligent energy management solution that uses local artificial intelligence to optimize heating, air conditioning, and ventilation systems in buildings. It connects to existing HVAC equipment, building management systems, or automates to collect data on temperatures, consumption, schedules, and weather conditions. The software builds a custom empirical model of each building's thermal behavior from real-world data to anticipate needs and adjust setpoints locally without requiring full replacement of the installation.

What are the steps of the EKILOHA process?

The process involves five steps: connecting to existing CVC, GTB, or automates; observing temperatures, consumptions, weather, and schedules; building a local AI model; anticipating needs and transmitting bounded setpoints; and verifying results to progress. The website describes this as a continuous loop where each measured result enriches the building's knowledge and improves future decisions.

What results have been reported by users?

Some reviewers praise the measurable gains, with a pilot building showing an energy consumption gap of 25 to 35% between using and not using the system. The website cites a scenario illustrating a -25% reduction in energy consumption, though it notes this is a projection built from a typical building profile and not a specific client measurement.

How does EKILOHA comply with regulations?

The solution operates within a regulatory framework including Éco Énergie Tertiaire, OPERAT, and the BACS decree. The website states that EKILOHA helps pilot the trajectory set by these regulations, focusing on measurement and performance optimization for tertiary energy.

What technology does EKILOHA use?

The system relies on local artificial intelligence to make decisions, avoiding generic models. It connects to existing infrastructure like CVC (heating, ventilation, and air conditioning), GTB (building management systems), or existing automates, completing only what is missing.

Which company owns EKILOHA?

The website states that EKILOHA is part of the Graiphic group, as indicated by the footer credit 'EKILOHA, une solution Graiphic'. The brand emphasizes intelligent energy management for more efficient buildings.

Who is EKILOHA for?

The solution is tailored for buildings with existing HVAC, CVC, or GTB systems. It is designed to adapt to each building's unique thermal signature, inerties (inertia), usages, and dérives (drifts) without needing a complete system overhaul.

What are the key features of the EKILOHA software?

The website mentions that the solution provides traceable and reversible decisions. It allows operators to understand the real functioning of the site through observed data like temperatures, consumptions, and weather conditions.

What is the official website of EKILOHA?

The official website of EKILOHA is ekiloha.com.

How is EKILOHA rated on Trustburn?

On Trustburn, EKILOHA has a rating of 4.2 out of 5 based on 5 reviews.

Based on reviews, listing data and the company's website. Verify anything important with the company directly.

Pierre Durand
Reviews 1

EKILOHA se positionne comme une couche intelligente au-dessus des systèmes de chauffage, climatisation et ventilation existants. L'approche analytique repose sur la collecte de données terrain : températures, consommations, horaires et météo permettent de construire un modèle empirique propre à chaque bâtiment. Contrairement aux modèles génériques, cette solution s'adapte aux dérives et à l'inertie spécifique du site. La décision est exécutée localement, ce qui garantit une réactivité immédiate sans dépendre d'une connexion cloud constante. La supervision permet de vérifier l'efficacité des ajustements en temps réel. Cette méthodologie semble idéale pour les bâtiments tertiaires cherchant à se conformer aux obligations réglementaires sans une rénovation lourque des équipements.

Jean-Pierre Martin
Reviews 1

La supervision web permet un suivi précis des gains et des alertes. L'exploitant conserve la maîtrise du pilotage tout en bénéficiant d'une intelligence locale adaptée à la réalité du site.

Sophie Lemaire
Reviews 1

La solution EKILOHA se distingue par son approche centrée sur le réemploi de l'existant. En installant l'unité au plus près du terrain, elle dialogue directement avec les automates et la GTB déjà présents sans nécessiter de travaux lourds. L'intelligence locale construit un modèle empirique propre à chaque bâtiment, tenant compte de son inertie, de ses usages et de sa signature thermique réelle. Cette adaptation fine permet d'anticiper les besoins et de transmettre des consignes bornées au chauffage, à la climatisation et à la ventilation. Le dispositif offre une supervision web permettant de suivre les gains, les alertes et l'historique des actions. Cette traçabilité assure que le pilotage reste réversible et contrôlable par l'exploitant. Les résultats présentés, bien qu'illustratifs, suggèrent une réduction significative de la consommation, alignée sur les objectifs réglementaires comme le décret BACS.

Marc Dubois
Reviews 1

D'après les informations disponibles, EKILOHA propose une approche intéressante en ajoutant une intelligence artificielle locale aux installations CVC existantes. Le système apprend la signature thermique unique du bâtiment pour adapter les consignes sans remplacement majeur. Bien que les gains promis soient de 25 à 35 %, le scénario reste illustratif. La solution semble adaptée pour optimiser la consommation tout en conservant l'existant, ce qui est un avantage pour les bâtiments existants.

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About EKILOHA

EKILOHA provides an intelligent energy management solution that uses local artificial intelligence to optimize heating, air conditioning, and ventilation systems in buildings. The software connects to existing HVAC equipment, building management systems, or automates to collect data on temperatures, consumption, schedules, and weather conditions. It builds a custom empirical model of each building's thermal behavior from real-world data and uses this to anticipate needs and adjust setpoints locally. The solution is designed to work with the existing installation rather than requiring full replacement.