We are experts in cognitive AI, gathering and analyzing data to help our clients make better decisions. We provide valuable solutions in a wide range of use cases, divided in the following three main business verticals:
We develop algorithms and techniques that allow computers to understand and interpret images and videos, bringing to the physical world the interaction capabilities that until now were limited to the digital world.
Our use cases are mainly linked to three verticals: behavioural analysis in public or commercial environments, security automation in industrial processes and monitoring systems in open spaces to improve sustainability.
We develop Large language, image and video models for the generation and processing of content and the automation of complex tasks.
Any business that needs to generate a digital twin environment for simulation, that may have customer service chatbots or that need to generate data to improve their models can benefit from these techniques to improve.
We develop Machine Learning and Deep Learning algorithms to maximise returns on marketing and operational investments.
We use advanced techniques to gain insights from data, implement segmentation models and recommend actions to be taken so that businesses can optimise their campaigns and operations.
At Dive we think that AI has to play a crucial role to make us more human, to ensure the sustainability of our ecosystems and to guarantee a more efficient use of the resources of our planet. Being that the power of thinking machines encloses also potential misuses like the violation of privacy, the unauthorized use of identificacion, making biased decisions or creating non-explainable algorithms with huge impact or our lives, we consider ethical principles of fairness, transparency, accountability and humanism, as the guidelines to all our services and motivations.
This project plans a field deployment with the following scope:
- Thousands of stores (+2,000)
- Thousands of video cameras(+20.000)
- Use cases (In-store Analytics)
The following business metrics will be extracted from each store
- Store traffic and demographics
- Occupancy and dwell-time by zone
- Cashier and fitting room queue management
- Detailed customer paths
- Repeate visitors
This project plans a field deployment with
the following scope:
- Dozens of sites
- Thousands of video cameras(+6,000)
- Use cases (Customer JourneyAnalytics)
The following business metrics are extracted from each shopping center digitized with Dive technology:
- Mall capacity and traffic
- Visitor demographics
- Dwell times
- Storefront conversion
- Store traffic
Passenger safety and service quality are the main objectives of the intelligent station management system, which has the following functionalities
- Capacity and traffic at stations and platforms
- Passenger demographics
- Dwell times
- Detection of anomalous behavior and accidents
This project aims to improve safety and reduce risks in complex environments such as electrical substations.
Through the application of artificial vision, the safety of workers performing maintenance operations in electrical substations can be guaranteed.
The safe work area forms a "virtual cube" that operators must not transgress at any time during the operation, nor must the tools they carry with them, except for a safety pole with which they measure the voltages in the substation elements.
The artificial vision algorithm alerts when an operator transgresses the virtual cubes with elements other than those authorized.
Development of different proofs of concept to develop eco- efficiency in Airbus plants.
The main use cases addressed are as follows:
- Monitoring of volatile chemical compounds. The objective is to trace the use of products to ensure that the right products are used.
- Waste management monitoring. The objective is to monitor how well operators are managing waste at the workstation.
- 5S chemical cabinet monitoring. The objective is to ensure that the cabinet only contains the products that should be used in the station due to the risk of accumulation of this type of compounds.
We are a team of scientists and engineers with the mission of creating thinking machines with the power to perceive reality with a precision far beyond our capacities to help us live in a safer, fairer more sustainable environment.
We are specialists in deep learning and other cognitive technologies who provide our clients with a seamless and sure transition from the most recent breakthroughs in AI to implementations with a direct and measurable impact in their businesses.
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