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What is NIRA?

NIRA Dynamics Automotive Software provides an all-encompassing array of embedded and connected vehicle solutions aimed at utilizing advanced sensor fusion, vehicle data, and cloud insights to enhance safety, assist drivers, and enable dynamic decision-making in contemporary vehicles, electric models, and autonomous systems. By employing between 60 and 200 on-board sensors, this software creates virtual sensors and intelligent functions that significantly improve overall vehicle performance and safety through the synthesis of in-vehicle and connected data streams, thereby enhancing driver assistance and supporting autonomous functionalities, even in adverse conditions. Among its wide array of features are the Tire Pressure Indicator (TPI), Loose Wheel Indicator, Tire Grip Indicator, assessments of Road Surface Conditions, and Road Surface Alerts, all of which transform existing vehicle signals into actionable insights without the need for additional hardware. This strategy not only streamlines the vehicle's complexity and reduces environmental impact but also ensures compliance with industry standards like AUTOSAR, reflecting the software's dedication to innovation and sustainability while enriching the overall driving experience. Furthermore, NIRA Dynamics is committed to ongoing development, continually exploring new avenues to advance vehicle intelligence and improve user safety in an ever-evolving automotive landscape. In doing so, they aim to stay at the forefront of technological advancements and maintain a pivotal role in shaping the future of automotive safety and efficiency.

What is AWS IoT FleetWise?

Improve the significance of your data by employing intelligent data collection that sends only the crucial information to the cloud for assessment. Analyze uniform data collected from a fleet of vehicles, eliminating the need for a customized data gathering or logging system. This approach provides a unified view of information sourced from traditional sensors and visual technologies, ensuring consistent synchronization in the cloud. Utilizing AWS IoT FleetWise, you can simplify the process of collecting vehicle data and organizing it within the cloud, granting you the ability to utilize this data to enhance vehicle quality, efficiency, and autonomy. Continuously improve machine learning models used in autonomous driving and advanced driver assistance systems by harvesting data from actively operating vehicles. Moreover, incorporate information from infotainment systems to better tailor in-vehicle audiovisual content and application features. In addition, utilize insights drawn from fleet data to monitor electric vehicle battery health and charging levels, effectively manage maintenance schedules, analyze fuel usage, and take advantage of numerous other advantages. This all-encompassing strategy not only fosters a profound understanding of vehicle performance but also enhances operational efficiency, paving the way for future advancements in automotive technology.

Media

Media

Integrations Supported

Amazon Web Services (AWS)

Integrations Supported

Amazon Web Services (AWS)

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$0.60 per month
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

NIRA

Date Founded

2001

Company Location

Sweden

Company Website

www.niradynamics.com/automotive-software

Company Facts

Organization Name

Amazon

Company Website

aws.amazon.com/iot-fleetwise/

Categories and Features

Categories and Features

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