FINALLY MAKE RIDING

SAFE AND
SMART

We have built IRAS™
the World’s first Intelligent Rider Assistant System™

Get in touch
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IRAS™ next generation e-mobility platform powers the future of Light Electric Vehicles (LEV’s) with safety, compliance, security and data capabilities that will accelerate the energy transition of transportation

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The Rider's 6th Sense

Way more than just an ADAS system for bikes, IRAS™ revolutionizes rider safety with a full suite of AI and Computer Vision safety applications.

Safety at heart

Bike makers can now protect riders;  giving them the possibility to adjust to a threat with the first Intelligent Rider Speed Assistant or react to a risk with Collision Warning Systems.

Safety at heart

Fleet operators can run vehicles that autonomously comply to safety and security policies with sidewalk and wrong-way riding prevention and more – protecting their customers, communities and assets.

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IRAS™ connected bike platform is made up of an embedded software stack which includes a bike OS, on-board supercomputer and a cloud platform designed specifically for Light Electric Vehicles.

Powered by artificial intelligence and computer vision, fully connected and enhanced with OTA capabilities, IRAS™ software-defined architecture is modular and scalable, can be tailored to meet different requirements of mobility applications and deliver an augmented riding experience unlike anything today.

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Data Insights that
solve mobility problems

IRAS™ unlocks the value in connected bike data.

Bike makers, rideshare and fleets operators can now optimize their operations, meet compliance regulations and improve their products with accurate, real-time and useful data insights.

And importantly, they can also share and distribute intelligence with other mobility stakeholders, create new business models and help smart-city planners improve services and infrastructures.

Data Insights that<br />solve mobility problems

IRAS™ provides simple and secure access to real-time data and AI insights, helping bike makers and fleet operators solve key operational and product mobility challenges

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Analytics
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Remote diagnostic, Predictive Maintenance & recall management
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Live fleet monitoring and event tracking
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AI Video-based fleet analytics

Why it
matters

The transportation revolution is underway; with more than 300 million Light Electric Vehicles predicted to be circulating by 2025. To achieve this, we need to address the challenges in front of us.

The critical. Riders’ safety
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In 2020, 28% of the 1,3 million global road fatalities were riders – making riding 20 times more dangerous than driving.

Looking ahead, the World Health Organization predicts that by 2030, 150 million riders are at risk of death or serious injury.

So, let’s waste no more time and get straight to the point;
This is unacceptable – especially in the knowledge that in most cases it is the car driver that failed to see the rider or diagnose the situation correctly.

The emerging. Compliance
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The fast development of new personal micromobility solutions in city centers is accelerating change for the benefit of all and the promise decongested and green cities.

But there is the need to better frame how spaces can be shared harmoniously not only with cars but also with communities and to be respectful of local compliance.

As a result of improper usage, cities are increasingly cautious in roll-out plans and operators are facing increasing litigation and insurance related costs.

The underlying. Lack of intelligence
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Ridesharing operator’s business models are impacted by high operating expenses due to theft, vandalism, vehicle durability and lifespan and accident costs.

City planners also need valuable, real-time data to better accelerate bike-friendly infrastructure development.

Intelligence needs to be real-time, accessible and distributed in order to make rides safer, cheaper and more enjoyable for all.

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Urban mobility solutions must look beyond just the city centre and need to enable people to commute and goods to be delivered within larger zones. Sustainable mobility must be a safe and connected mobility for all, regardless of the bike category or the distance ridden. They need to address the challenges of mixed traffic environments, protect our communities and bring peace of mind to riders and operators.

What’s at stake is the mass adoption of Light Electric Vehicles. That’s why we are here and why we created the first Intelligent Rider Assistant System.

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What we do

We develop the foundational embedded software, hardware and cloud infrastructure components that power  IRAS™ artificial intelligence, ultra-precise positioning, computer vision, automation, machine learning models and data analytics capabilities designed for Light Electric Vehicles.

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How we do it

We team-up with electric urban mobility manufacturers, fleet and bike sharing operators to design and scale custom-built programs and integrate a vehicle appropriate version of IRAS™ into their bikes with the applications and data insights required.

We enable alliances with disruptive digital insurance companies as well as other 3rd party stakeholders such as smart cities who want to innovate, deliver safety and scale Light Electric Vehicles.

We partner with world-leading technology companies and experts in their respective fields who help us deliver technology that can be trusted.

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Our Mission

We are on a mission to change the way people and goods move around by delivering a modular and scalable AI-Technology platform that sets a new standard for the mass adoption of Light Electric Vehicles.

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Our Vision

AUGMENTEDRIDING; Enable anyone to ride everywhere with peace of mind and to share the road with one another respectfully of our communities.

How it works

Setting new standards for Light Electric Vehicles.

In an ever changing, complex and dangerous environment, real-time information and distributed intelligence matter.

Whilst connectivity and software are driving the future of Light Electric Vehicles, sensor and data fusion is the game changer.

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One unified embedded software & AI stack, including a bike OS, on-board supercomputer and cloud platform created to scale across all Light Electric Vehicles and applications.

Edge AI Supercomputer

Edge AI Supercomputer

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We tune compute architectures ranging from single to multi-core CPU’s and Neural Net Accelerators to support our partners applications. Our custom-adapted edge AI hardware enables deep integration in the vehicle systems, combines multiple sensors, connectivity systems, battery management and various HMI interfaces. Up to 3 cameras can be simultaneously connected as well as radars & lidars.

Embedded Software & AI stack

Embedded Software & AI stack

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IRAS™ proprietary software stack includes a real-time OS monitoring and controlling the bike powertrain and battery systems and a Yocto-based OS securely managing the compute architecture. A virtualization layer contextualizes data-streams, risk and computer vision models and 3rd party applications in a dedicated data and sensor fusion center enabling the functional and safety applications.

Cloud platform

Cloud platform

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Developed on Amazon Web Services, our Cloud architecture scales to handle hundreds of thousands of vehicles around the world protecting and keeping customer data safe, confidential and compliant. Insights derived from ML and AI models enable new services and use cases with application-ready and enriched datasets.

Limitless possibilities and solutions for bike makers and fleet operators to scale and deploy Light Electric Vehicles for safe, connected and green rides.

Sustainable

Sustainable

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Our tight vertical integration ensures that not only iRAS™ software stack and applications can be upgraded seamlessly and enhanced, but also the vehicle powertrain and battery firmware can be updated to increase vehicle lifetime via over-the-air capabilities.

Cost effective

Cost effective

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From low-cost e-scooters to premium light electric vehicles, the IRAS™ platform has a range of features and options available from providing navigation and infotainment to advanced computer vision and AI safety features allowing our customers to leverage their investment across their full range of products.

Flexible

Flexible

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Some bike makers and fleet operators  are looking for an end-to-end solution that provides an out of box experience. Others want to integrate with their own hardware or software ecosystem or customize applications.

The IRAS™ platform has the flexibility to support both approaches.

Agile

Agile

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Our platform accelerates integration, testing and deployment in a fraction of the time that was necessary before. What’s more, the HMI Manager integrated in our software stack enables multiple, customizable options for the HMI from digital cockpits to voice and haptic.

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Bike-2-Everything communication

IRAS™ empowers riders with a 6th sense today and ultimately will enable riders to communicate directly with other road users and infrastructure. We believe in the promise of Bike-to-Everything (B2X) communication that will perfectly complement our perception layer with additional data and add richness to the power of our platform.

This is why iRider is a proud member of SECUR (Safety Enhancement through Connected Users on the Road). We represent the voice of riders in this international project coordinated by UTAC CERAM-Millbrook which will lead to a framework for the functional validation of how V2X systems can improve the safety of all road users. The results will be made public and will feed into the Euro NCAP 2025 roadmap.

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Contact

Want to know more? Please get in touch to discuss how we can bring your vision to market with our solutions.