JUMP AI Technologies national profit private
Our startup has over 8 years of experience in video intelligence within the media and entertainment sector, where we have developed technology to automatically analyse and tag video content at scale. This has been used to power content recommendation systems and generate business metrics, demonstrating the ability to process large volumes of video data with high accuracy and reliability.
Building on this foundation, we are extending this technology to security, public safety and emergency response environments. Our solution provides real-time video intelligence to support first responders by detecting risk situations, anomalous behaviours, and operational incidents, enhancing situational awareness during interventions.
By enabling earlier detection of hazards and providing contextual understanding of complex situations, the system helps improve decision-making in dynamic environments. Its ability to reduce false positives and generate actionable alerts in real time allows responders and control centres to focus on critical events and act more effectively.
Building on this foundation, we are extending this technology to security, public safety and emergency response environments. Our solution provides real-time video intelligence to support first responders by detecting risk situations, anomalous behaviours, and operational incidents, enhancing situational awareness during interventions.
By enabling earlier detection of hazards and providing contextual understanding of complex situations, the system helps improve decision-making in dynamic environments. Its ability to reduce false positives and generate actionable alerts in real time allows responders and control centres to focus on critical events and act more effectively.
Products
Profile
- Foundation Year
- 2016
Contact Got a question or request?
Address:
Spain
, Madrid
, 28014
, Calle Fuenterrabia, 9
Website: https://jumptechnologies.ai/
Market
- Europe
- Middle East
- Africa
- North America
- South America
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 101022061