Turnkey Powertrain Electronics Solutions For Electric Two-Wheeler Manufacturers

Make your electric vehicle software-defined and leverage the benefits of a smart vehicle

What can iCommuteX do?

Indigenizing drive train electronics for EVs in India, with a focus on all two-wheeler form factors, iCommuteX integrates drivetrain electronics with a common software stack and a secure operating system, enabling the development of applications on top of it.

iCommuteX aims to create an Android-like environment for electric two-wheelers, making the vehicle’s parameters software-defined. This allows for extensive computations on the cloud and at the edge, ensuring a competent, safe, and secure riding experience. It will also consist of a personalized App Store and the user can access its function through a subscription-based method.

Product Features

LAUNCH READY PRODUCT(SHORTER TIME TO MARKET)

Certified for automotive use case, so just install and proceed with vehicle testing, shortening the time to market.

UPGRADABLE ARCHITECTURE

Provide the end user with latest features, optimizations and improved UI, even post purchase, strengthen the relationship

EASE OF USE AND INSTALLATION; DIAGNOSE AND MAINTAIN

Diagnose remotely and enable preventive maintenance.

MAKING E2Ws SOFTWARE DEFINED

EVs are essentially software-driven. Then why should hardware limit its capabilities

DATA CENTRIC APPROACH

Real time data collection and sync with cloud for true analytics and optimizations, targeting user behavior mapping along with the real riding environment

PLUG AND PLAY SOLUTION

Ease of integration into any powertrain with our universal solution with turnkey solution for all things power electronics

Launch ready product (shorter time to market) – Certified for automotive use case, so just install and proceed with vehicle level testing, shortening the time to market from 2+ years to 6 months
Upgradable architecture – Provide the end users with latest features, optimizations and improved UI, even post-purchase, and strengthen the relationship
Ease of use and installation; diagnose and maintain – Diagnose remotely and enable preventive maintenance
Indigenous (make in India) – Buy cheaper and sell cheaper, making use of FAME subsidies, with highest quality and futuristic approach to next gen of vehicles
Making E2Ws software-defined – EVs are essentially software-driven. Then why should hardware limit its capabilities
Data centric approach – Real time data collection and sync with cloud for true analytics and optimizations, targeting user behavior mapping along with the real riding environment
Plug n Play solution – Ease of integration into any powertrain with our universal solution with turnkey solution for all things power electronics

OEM Benefits

Future-proofing

Future-proofing the vehicle with over-the-air updates, making the system upgradable to the drive-train level

Faster go-to-market

Simplified manufacturing and testing enables shorter time to market

Standardization

Standardized way of how data is collected and managed, facilitating building AI models and further optimizing vehicle’s performance and/ore adapting vehicle to the user’s riding behavior

Brand Recognition and Differentiation

Stand apart from the crowded EV space with new data-driven services and business models

Cost Optimization

Cost reduction due to reduced components making EVs more affordable

No effect of shortage of developers and their cost

That hampers the development of the complete system from scratch for any vehicle manufacturer

Integrative and collaborative efforts

From the community of OEMs, developers, and researchers will foster faster development of technology

Indigenous solution

Makes customization and model improvement possible and provides better control on the supply chain

Future-proofing

Future-proofing the vehicle with over-the-air updates, making the system upgradable to the drive-train level

Faster go-to-market

Simplified manufacturing and testing enables shorter time to market

Standardization:

Standardized way of how data is collected and managed, facilitating building AI models and further optimizing vehicle’s performance and/ore adapting vehicle to the user’s riding behavior