Machine Learning and Artificial Intelligence (16)
The project delivered a multi-stage AI document reconciliation service that connects Procore and CMiC, interprets delivery slip images, normalizes invoice and delivery data, and links each slip to the most likely invoice even when descriptions do not match exactly.
The project replaced static close-out
documentation with an AI-powered
knowledge base that delivers instant
answers to facility teams.
Mobile application with a built-in CV model processes visual images and iPhone/iPad measurement system data. The app is directly integrated with film-cutting equipment (plotters) to provide the ability of fast and precise order of protective films for vehicles and architecture buildings.
Intetics improved a recruitment platform's candidate search accuracy and relevance by developing a sophisticated skill extraction solution.
Intetics enhanced player engagement in mobile gaming by leveraging data analysis and AI-driven tools on the AWS platform, optimizing push notifications through personalized messaging and data-driven insights, resulting in increased player interaction and activity.
To improve the business and reach, and to reduce churn rates with the virtual try-on feature. To allow customers to try the product in real-time, get the precision dimensions of the custom item, and order it without leaving their homes.
The Client partnered with a state-owned health organization to provide patients with on-demand access to its services and guided medical advice 24/7.
Technical objectives: storage of public data feeds with current conditions of fire and smoke spreading; fire perimeter risk and prediction; predicted smoke conditions, intensity and direction; website integration and component prototype.
Launching a wearable for sports fans, to enrich the product with an emotional-response feature, and to develop a machine learning algorithm for emotion recognition by a team of experts.
Building an ML pipeline for parking sign recognition to detect a sign's location and recognize the restrictions and time bounds for parking with no lessthan 90% accuracy, including recognizing unstandardized parking signswith texts.
The Client required a new application that would navigate a surgeon in inserting an implant into the patient’s brain. For this purpose, MRI images of a patient’s head are processed by the software; ML&AI algorithms are used to build a path for an implant, which is shown on the screen on top of an MRI image.
The Client’s analytics tool needed data that couldn't be purchased or licensed. Its collecting required a lot of qualified spatial analysts’ work and team to mark precise boundaries on a map.
The challenges occurred during the expansion of the Client’s presence in Eastern Europe were associated with the specifics of the region.
The Client delivers innovative products for the automotive and transportation industries, such as real-time parking, traffic information, and solutions that facilitate the safe testing and deployment of autonomous vehicles.
Competences
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