IRAS™ is the next generation AI powered Connected Bike Platform designed for mobility innovators ready to embrace the new era of software-defined Light Electric Vehicles
Built with safety at its heart, IRAS™ never gets distracted or tired and can predict risk by understanding and interpreting the most complex riding situations.
Bike makers can now protect riders by giving them the possibility to adjust their behavior to anticipate a threat or react before it occurs.
Fleet operators can run vehicles that autonomously comply to safety and security policies and protect their customers, communities and assets.
IRAS™ connected bike platform is made up of an embedded software stack which includes a bike OS, on-board hardware and a cloud platform designed specifically for Light Electric Vehicles.
Powered by artificial intelligence, fully connected and enhanced with Over-The-Air capabilities at its core, 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.
Always informed; IRAS™ plans the safest and healthiest routes around our cities with a hybrid road & cycle lane predictive navigation system that avoids air pollution zones and accident blackspots.
Always connected; The safest place for the phone is in the pocket, not on the handlebars. But calls, music and digital life are available from the cockpit; unless IRAS™ deems it unsafe to use.
Always aware; IRAS™ continuously monitors helmet usage and the journey ahead, recommending the rider adjust their speed or trajectory or warning them to react to an immediate threat or collision risk.
Autonomous when needed; IRAS™ real-time self decision-making capabilities enable engine control to prevent non-compliant or non-authorized riding behavior or to protect the bike powertrain or battery system from an anomaly detected by the on-board diagnostic model.
Always attentive; IRAS™ and its array of cameras and sensors looks after the bike in all situations. Alerts and live video streams are available from the app to remotely check any theft or damage alerts. And not only can IRAS™ detect an accident, but it will also predict the severity and shorten the time to rescue.
Always learning; IRAS™ analyses key riding behaviors, learns from each ride and coaches the rider with recommendations to improve skills with a self-learning riding tool.
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.
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
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.
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 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.
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.
Urban mobility solutions must look beyond just the city center 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, from Le Mans to Berlin or from Paris to Bogota. They need to address the challenges of mixed traffic environments, protect our communities and bring peace of mind to riders and operators.
What’s in play is the mass adoption of Light Electric Vehicles. That’s why we are here and why we created the first Intelligent Rider Assistant System.
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.
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.
Our mission is to empower Light Electric Vehicle urban mobility innovators with a modular and scalable technology platform that maximizes safety, compliance, value and distributed intelligence.
Our vision is to enable anyone to ride safely around our cities, to share the space with other road users, respectful of the wider community and with complete peace of mind.
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.
Am I wearing my helmet correctly?
It starts by checking the helmet;
Our built-in cockpit monitoring camera can determine not only if a helmet is being worn but also if it is fastened correctly. IRAS™ can either alert and remind the rider before or during the ride, restrict power or simply prevent the ride starting dependent on rideshare operator or local compliance policy.
Where am I?
The capability to precisely determine the position of a bike in real-time, whether on a cycle lane, sidewalk or approaching a dangerous road crossing, is key to understanding the context of the ride.
From augmented satellite data to on-board mapping, road segmentation vision models and motion sensors, IRAS™ fuses data streams to deliver unprecedent positioning and enables Bike-2-Everything communication.
Where am I going?
IRAS™ Predictive Navigation engine is enhanced with a risk zone AI model that can predict the level of danger based on contextual information and accident statistics.
IRAS™ also analyses air pollution levels to calculate the safest and healthiest route, be it on the road or on cycle lanes. Or both.
What’s around me?
IRAS™ uses multiple real-time data sources to monitor the surroundings no matter how complex or dynamic they may be. Perception systems can be added front and rear to provide 360° situational awareness.
In over 70% of collisions, representing the majority of accidents win which riders were killed or seriously injured, the car driver failed to see the rider.
Now riders can see them first.
IRAS™ predicts risk by simultaneously tracking the traffic density, the trajectory and speed of other road users and pedestrians, and by fusing these data streams with the speed and positioning of the rider, the bike type, the location characteristics, weather conditions and other contextual and behavioral data.
Multiple warnings for the rider to adjust
IRAS™ is re-imagining the riding experience by warning the rider in multiple ways to allow him to adjust his behavior, speed or trajectory and avoid a dangerous situation. From Rear View digital Assistance to the ability to pause music or disable incoming calls and messages, IRAS™ raises the vigilance of the rider when necessary. In addition, IRAS™ Intelligent Speed Management system recommends speed adjustments based on the context; not just the speed limit.
Directional alerts for the rider to react
If a collision risk develops, reaction time is critical to avoid an accident or minimize the severity of an impact. IRAS™ assists riders diagnostic process and helps them make the right decision with directional alerts to focus on what really matters; the next 2 seconds of the ride.
Autonomous on-board capabilities
Fleet and ride-share operators can define no-ride zones such as sidewalks, speed-limited areas and parking zones thanks to on-board autonomous capabilities enabling real-time control of the electrical assistance dependent on the vehicle’s precise location, on-board sensors and rider behavior.
One unified embedded software & AI stack, including a bike OS, on-board hardware and cloud platform created to scale across all Light Electric Vehicles and applications.
Edge AI Hardware
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
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.
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.
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.
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.
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.
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.
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.