Infrastructure inspection, consumption forecasting, failure detection... We structure your images, videos, documents and time series to train AIs capable of automating, predicting and securing energy production and distribution.
Do you work in the energy sector?
We annotated thousands of files from solar, wind, water and distribution network projects. Visual inspection of panels or turbines, data extraction on energy projects, segmentation of regulatory documents... our datasets are used to develop robust AIs to meet the challenges of the energy transition.
Optimizing smart electrical networks
AI plays a crucial role in the intelligent management of electrical networks by predicting consumption peaks and optimizing energy distribution. It contributes to energy efficiency and cost reduction
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Prediction and management of renewable energies
Thanks to the analysis of weather data in real time, AI optimizes the production of energy from renewable sources, such as wind or solar, by anticipating their production and by effectively integrating these sources
intermittent in the electrical network.
Predictive maintenance of energy infrastructures
Artificial intelligence makes it possible to anticipate failures in energy infrastructures, by analyzing data from sensors installed on equipment. This limits interruptions and significantly reduces maintenance costs.
Why choose Innovatiana?
Outsourcing that makes sense and has impact
We demand anethical outsourcing modelfor artificial intelligence. We refuse the crowdsourcing proposed by most of our competitors. We invest in the training and development of our Malagasy employees to guarantee upskilling and continuity of the teams working on our customers' Use Cases.
Ethical outsourcing
We refuse the so-called"crowdsourcing" practices: we create stable and valued jobs to offer you Outsourcing that has meaning and impact as well as transparency about the origin of the Data used for AI.
An inclusive model
We recruit our own team in Madagascar and train them in Data Processing and Labeling techniques for AI. We offer them a fair salary, good working conditions and career development opportunities.
A proximity management
All the tasks entrusted to us are steered by an English-speaking and French-speaking Manager: your privileged contact. He mobilizes a team of Data Labelers to meet your objectives, and proposes a realistic deadline.
Competitive rates
We offer flexible conditions, for a pricing adapted to your stakes and to your means. We charge by the job (example: "label 50,000 images with bounding boxes"): no subscription, no set-up fees.
Our customers trust us
We structured hundreds of technical reports, impact studies and project authorizations (MRAE, permits, etc.) to automatically extract essential information: location, power, type of installation, developer, key dates. This data feeds centralized databases and automated reporting tools.
We annotated satellite images around energy projects (solar, wind, hydroelectric) to detect changes in the landscape, environmental risks or impacts on land use. These annotations make it possible to train territorial analysis models, useful for regulatory compliance or expansion planning.
We annotated thousands of photos of power plants, solar farms and wind turbines to identify critical equipment (turbines, panels, transformers, lines). Thanks to precise annotations (bounding boxes, polygons, segmentation), these data sets are used to train models for visual supervision, predictive maintenance or automated inventory.
Fuel your AI models with High Quality Training Data!
