Our “AI”products use powerful algorithms based on deep learning combining data mining, statistics and modelling to make predictions about future outcomes. In other words, historical data defines a set of parameters, which our AI tools can then use to determine what behaviour/responses might be in the future.

Those deep Learning tools are also the base of our algorithms developed for the Predictive Maintenance applications and in computer vision technologies.

We developed a new AI embedded product called Tracking Prime which provides an automatic target designation thereby providing simple and space saving design installations. Due to its efficient, automatic, decoy-resistant tracking and predictive trajectory calculation, Tracking Prime can evaluate multiple targets allowing for a high precision engagement. It has customizable settings which can be implemented to guarantee integration into any type of systems. Optimize your systems with our advanced embedded functions.

Specific tracking features for your systems

• Automatic video tracking
• AI-based automatic classification
• Trajectory prediction
• Simultaneous tracking
• Image telemetry
• Multi-types & Enhanced image sources processing capabilities
• Blending & fusion image sources
• Hot spot highlighting
• AI-based effective scenario strategy…

Have a look on our dedicated page

Our technology called Fleet Prime is an integrated AI suitable to routing prediction. This technology has been already applied in delivery management and specific fleet strategy prediction for our customers, allowing them to focus on their core business activities.

Our tools can schedule an optimise routes of a fleet of vehicles. We can assign tasks based on experience & on current workload. Our tools handle several cases such as staff availability, technical maintenance, target delivery/site…

Used as an API, Fleet Prime handles also existing map providers and tasks assignment. As an embedded systems this technology has been customised to include several inputs parameters.

Those tools also include several constraints and specific algorithms

• multiple target site,
• Time windows (CVRPTW),
• vehicle capacity (CVRP),
• travel time (fuel consumption, hotel sleep, flight or train alternative modes),
• Customer service duration,
• due and ready time,
• total distance,

Our powered algorithmic tools for businesses called AI PRIME SaaS use Deep Learning technologies. As an API* provider, we expose our capabilities through a programmatically consumable service (*Application Programming Interface). Those tools includes all core competence domains of an organization:

Tools as API for developersSpecific Solutions for your business

• Predictive Analytics Solutions
• Agenda Scheduling Optimization
• Tasks & Projects Scheduling Optimization
• Vehicle Routing Optimization
• Predictive Maintenance & Failure
• Stock Management with predictive tools
• Financial Optimization…

Machine Learning is a subset of AI that focuses on developing algorithms and models that allow computers to learn from data and improve their performance over time. It plays a crucial role in enabling AI systems to recognize patterns, make predictions, and adapt to new information.

There are generally two types of AI: Narrow or Weak AI, which is designed to perform specific tasks, and General or Strong AI, which possesses human-level intelligence and can handle a wide range of tasks.

Machine Learning is a subset of AI that focuses on developing algorithms and models that allow computers to learn from data and improve their performance over time. It plays a crucial role in enabling AI systems to recognize patterns, make predictions, and adapt to new information.

Machine Learning is a subset of AI that focuses on developing algorithms and models that allow computers to learn from data and improve their performance over time. It plays a crucial role in enabling AI systems to recognize patterns, make predictions, and adapt to new information.

Machine Learning is a subset of AI that focuses on developing algorithms and models that allow computers to learn from data and improve their performance over time. It plays a crucial role in enabling AI systems to recognize patterns, make predictions, and adapt to new information.

Machine Learning is a subset of AI that focuses on developing algorithms and models that allow computers to learn from data and improve their performance over time. It plays a crucial role in enabling AI systems to recognize patterns, make predictions, and adapt to new information.

AI has applications in various fields, including:

• Natural Language Processing (NLP) for chatbots, language translation, and sentiment analysis.
• Computer Vision for image recognition, object detection, and autonomous vehicles.
• Machine Learning for predictive analytics, data mining, and pattern recognition.
• Robotics for automation in industries such as manufacturing and healthcare.
• AI-powered personal assistants, recommendation systems, and fraud detection, among others.