AI Clearing vs Innovatiana

AI Clearing connects design and BIM data, schedules, budgets, drone imagery, mobile inputs, and ground surveys into one construction intelligence system for large-scale infrastructure and renewable energy projects. Contractors and asset owners use its CORE platform to see what is actually happening on site instead of relying on scattered spreadsheets and field notes.

A proprietary computer vision engine trained on millions of construction objects compares as-built conditions against design plans. The platform delivers progress and quality reports within 6 to 24 hours of data capture and includes Clara, a conversational assistant that answers project questions from live field data.

Where most construction software tracks tasks in spreadsheets, AI Clearing is built around visual site evidence. It reconciles drone imagery, schedules, and BIM models automatically, which makes it better suited to utility-scale earthworks and renewables than generic project management tools that lack geospatial progress verification.

General contractors, EPC firms, and asset owners working on renewables, transmission, wind, highways, pipelines, railways, and civil earthworks use AI Clearing for progress tracking, quality control, billing verification, and portfolio oversight. Customers include PCL Solar, baywa-re, and Rosendin Renewables.

Innovatiana is a Franco-Malagasy data labeling company that builds production-grade training datasets for machine learning, deep learning, and large language models. Teams of in-house annotators and domain experts handle annotation, validation, and quality control across image, video, text, audio, and multimodal data.

Instead of anonymous crowdsourcing, Innovatiana recruits and trains its own Data Labelers at a service center in Majunga, Madagascar. Each project gets a dedicated manager, structured workflows, and systematic quality checks such as inter-annotator agreement and manual sampling.

The company serves CTOs, data scientists, and ML engineers across more than 20 industries, from automotive and healthcare to luxury and public services. Clients include LVMH, Children's National Hospital, and SDSC. Work can run on the client's annotation platform or on Innovatiana's secure environments, with deliverables exported in formats like JSON, XML, or Pascal VOC.