Top 10 Deep Connected Platform Alternatives & Competitors

The Connected Car Software solutions below are the most common alternatives that users and reviewers compare with Deep Connected Platform. Other important factors to consider when researching alternatives to Deep Connected Platform include ease of use and reliability. The best overall Deep Connected Platform alternative is Selenium. Other similar apps like Deep Connected Platform are AWS Connected Vehicle Solution, IBM IoT Connected Vehicle Insights, Wipro AutoInsights, and BlackBerry Ivy. Deep Connected Platform alternatives can be found in Connected Car Software.

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Best Paid & Free Alternatives to Deep Connected Platform

Selenium
AWS Connected Vehicle Solution
IBM IoT Connected Vehicle Insights
Wipro AutoInsights
BlackBerry Ivy
Wejo
INRIX OpenCar
Xevo Journeyware

Top 10 Alternatives to Deep Connected Platform Recently Reviewed By G2 Community

Browse options below. Based on reviewer data, you can see how Deep Connected Platform stacks up to the competition and find the best product for your business.

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By Oxbotica

Product Description

Selenium is Oxbotica's flagship autonomous control system, designed to transform various vehicles into self-driving entities without relying on GPS. This vehicle-agnostic software suite enables robust navigation and operation across diverse environments, including indoor, outdoor, and underground settings. By integrating advanced AI and machine learning algorithms, Selenium provides vehicles with situational awareness, allowing them to perceive surroundings, detect obstacles, and make informed decisions to complete tasks safely and efficiently. Key Features and Functionality: - Vehicle Agnostic: Compatible with a wide range of vehicles, from cars and self-driving pods to warehouse trucks and forklifts. - GPS Independence: Operates effectively without GPS, ensuring reliable performance in environments where GPS signals are weak or unavailable, such as urban canyons, forests, or underground facilities. - Advanced Perception: Utilizes a combination of sensors and proprietary algorithms to detect and predict the movement of vehicles, people, and other objects, even in complex scenes and varying weather conditions. - Precise Positioning: Achieves high-precision, robust, and reliable vehicle positioning, enabling safe navigation in challenging locations without the need for external infrastructure. - Smooth Vehicle Control: Ensures safe and optimal path planning and vehicle control, providing comfortable and reassuring passenger experiences. Primary Value and User Solutions: Selenium addresses the growing demand for autonomous vehicle solutions by offering a flexible, scalable, and efficient platform that can be deployed across various industries. Its ability to function without GPS and adapt to different vehicle types and environments makes it particularly valuable for applications in logistics, warehousing, and urban transportation. By enabling vehicles to operate autonomously in complex and dynamic settings, Selenium enhances operational efficiency, reduces costs, and improves safety for businesses and their customers.

Categories in common with Deep Connected Platform:

Connected Car

AWS Connected Vehicle Solution

By Amazon Web Services (AWS)

4.4/5

(12)

Product Description

Categories in common with Deep Connected Platform:

Connected Car

IBM IoT Connected Vehicle Insights

By IBM

3.5/5

(2)

Product Description

IBM IoT Connected Vehicle Insights extends the power of cognitive computing to connected cars—acquiring data from sensors and systems to improve the in-car experience. Today's cars are moving data centers with onboard sensors and computers that can capture information about the vehicle and access it in near real time. IBM IoT for Automotive is a cloud service that you can use to retrieve, manage and analyze big data from connected vehicles.

Categories in common with Deep Connected Platform:

Connected Car

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BlackBerry Ivy

By BlackBerry

3.5/5

(1)

Product Description

BlackBerry IVY is a cloud-connected, in-vehicle software platform co-developed by BlackBerry and Amazon Web Services . It enables automakers to securely access and process vehicle sensor data both locally within the vehicle and in the cloud. By standardizing data across all vehicle systems and facilitating machine learning processing at the edge, IVY allows for the rapid development of data-driven services that enhance driver and passenger experiences, reduce operational costs, and create new business opportunities. Key Features and Functionality: - Edge Processing: IVY processes data directly within the vehicle, allowing ML models to run on-vehicle. This optimizes the use of in-vehicle processing and cloud computing resources, reducing latency and data transmission costs. - Standardized Data Access: By abstracting the underlying vehicle hardware and software interfaces, IVY provides standardized access to vehicle sensor data. This simplifies integration across different vehicle models and reduces development time for new applications. - Developer-Friendly Tools: IVY offers a suite of Software Development Kits , Application Programming Interfaces , tools, samples, and documentation. These resources enable developers to easily interact with vehicle data using familiar methods, fostering innovation and accelerating the creation of new services. - Cloud Management Console: Automakers and their partners can use IVY's cloud console to deploy and update ML code, configure data access rights, and monitor in-vehicle software, all through an intuitive interface. Primary Value and Solutions Provided: BlackBerry IVY addresses the automotive industry's challenges related to data access, collection, and management. Modern vehicles consist of numerous components from various suppliers, each generating data in unique formats. IVY standardizes this data, enabling automakers to develop and deploy new in-vehicle applications and connected services more efficiently. By processing data at the edge, IVY reduces the need for extensive data transmission to the cloud, lowering costs and improving response times. This empowers automakers to offer personalized, responsive in-vehicle experiences, enhance vehicle performance, and unlock new revenue streams through innovative services.

Categories in common with Deep Connected Platform:

Connected Car