Maniv Mobility

Revel is a company dedicated to accelerating electric vehicle (EV) adoption in urban areas through its all-electric rideshare service and network of fast-charging stations. The company operates a fleet of easily recognizable blue electric vehicles, providing a cleaner, safer, and more affordable rideshare experience. Revel places a strong emphasis on safety and cleanliness, utilizing vetted drivers and regularly detailed cars to ensure high service standards. Additionally, Revel offers electric mopeds that can be booked through a mobile application, allowing users to locate the nearest moped and start their ride conveniently. This combination of rideshare services and charging infrastructure positions Revel as a key player in promoting sustainable transportation solutions.

Autofleet operates a platform that optimizes car rental services. It uses machine learning algorithms for demand prediction, dynamic pricing, automated fleeting, and real-time demand-supply matching. The company partners with various mobility operators to enhance their operations and launch new on-demand business models.

Autofleet operates a platform that optimizes car rental services. It uses machine learning algorithms for demand prediction, dynamic pricing, automated fleeting, and real-time demand-supply matching. The company partners with various mobility operators to enhance their operations and launch new on-demand business models.

Revel is a company dedicated to accelerating electric vehicle (EV) adoption in urban areas through its all-electric rideshare service and network of fast-charging stations. The company operates a fleet of easily recognizable blue electric vehicles, providing a cleaner, safer, and more affordable rideshare experience. Revel places a strong emphasis on safety and cleanliness, utilizing vetted drivers and regularly detailed cars to ensure high service standards. Additionally, Revel offers electric mopeds that can be booked through a mobile application, allowing users to locate the nearest moped and start their ride conveniently. This combination of rideshare services and charging infrastructure positions Revel as a key player in promoting sustainable transportation solutions.

Brodmann17 Ltd, founded in 2016 and headquartered in Hod Hasharon, Israel, specializes in developing advanced computer-vision technology aimed at enhancing safety in mobility. The company focuses on creating an architecture code for applications such as pedestrian and face detection, leveraging deep learning neural networks to efficiently extract information from video feeds. This technology significantly reduces computing power needs, making artificial intelligence more accessible across various sectors, including mass-market passenger vehicles and micro-mobility solutions. Brodmann17’s patented perception software is scalable and hardware-agnostic, allowing seamless integration across different platforms, from low-power edge devices to cloud environments. The company's innovative approach has attracted considerable attention from high-profile players in the technology and automotive sectors, receiving backing from prominent venture capital firms and leading corporations.

Revel is a company dedicated to accelerating electric vehicle (EV) adoption in urban areas through its all-electric rideshare service and network of fast-charging stations. The company operates a fleet of easily recognizable blue electric vehicles, providing a cleaner, safer, and more affordable rideshare experience. Revel places a strong emphasis on safety and cleanliness, utilizing vetted drivers and regularly detailed cars to ensure high service standards. Additionally, Revel offers electric mopeds that can be booked through a mobile application, allowing users to locate the nearest moped and start their ride conveniently. This combination of rideshare services and charging infrastructure positions Revel as a key player in promoting sustainable transportation solutions.

Brodmann17 Ltd, founded in 2016 and headquartered in Hod Hasharon, Israel, specializes in developing advanced computer-vision technology aimed at enhancing safety in mobility. The company focuses on creating an architecture code for applications such as pedestrian and face detection, leveraging deep learning neural networks to efficiently extract information from video feeds. This technology significantly reduces computing power needs, making artificial intelligence more accessible across various sectors, including mass-market passenger vehicles and micro-mobility solutions. Brodmann17’s patented perception software is scalable and hardware-agnostic, allowing seamless integration across different platforms, from low-power edge devices to cloud environments. The company's innovative approach has attracted considerable attention from high-profile players in the technology and automotive sectors, receiving backing from prominent venture capital firms and leading corporations.

Autofleet operates a platform that optimizes car rental services. It uses machine learning algorithms for demand prediction, dynamic pricing, automated fleeting, and real-time demand-supply matching. The company partners with various mobility operators to enhance their operations and launch new on-demand business models.

RideCell provides fleet automation and management software for ride sharing and car sharing. Its platform automates onboarding, driver-rider matching, scheduling, routing, payment processing, dynamic pricing, and demand-supply balancing, and includes analytics and configurable settings. The Demand-Response product automates requests and dispatch, while Fixed Route offers real time tracking, delay alerts, and proactive notifications for buses and shuttles via phone, text, web, or mobile apps. The platform supports end-to-end operation of mobility services, including rider onboarding, ID checks, referrals, promotions, and online management of fleets. RideCell serves public and private transportation, universities and campuses, and maintenance and delivery fleets, helping operators launch and scale mobility services efficiently. By integrating fleet IoT data with digital vehicle control, it turns manual processes into automated workflows and improves efficiency and monetization. Headquartered in San Francisco with offices in Europe and Asia.