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The Digital Driving Experience

encompasses the integration of advanced digital technologies into the driving environment to enhance every aspect of the journey for both drivers. From smart infotainment systems and driver assistance features to connectivity options and personalized services, the digital driving experience represents a paradigm shift in automotive innovation. By leveraging artificial intelligence, augmented reality, internet connectivity, and sensor technology, automakers are transforming vehicles into intelligent, interconnected platforms that prioritize safety, convenience, and comfort. Whether it’s seamless integration with smartphones, voice-activated controls, predictive maintenance alerts, or immersive entertainment options, the digital driving experience redefines what it means to be behind the wheel in the modern age, offering unparalleled levels of convenience, entertainment, and safety for all occupants.

Technology that enables
electric mobility

Assisted Driving

Vehicle Management

communications

Full stack eAuto Software

full-stack eAuto software platform that powers connected, electric, and autonomous vehicles through an integrated intelligence and connectivity stack.
Our technology stack unifies vehicle systems, IoT networks, cloud services, and AI engines into a single, scalable software architecture.

We enable software-defined vehicles and digital-first mobility ecosystems.

AUTOVISION

Assisted | Autonomous

AUTOPI

Vehicle Communication

AUTOPORT

New Energy Power Train

MOBILITY TECHNOLOGY

AUTOVISION

Assisted driving technologies represent a pivotal advancement in automotive safety and convenience, aiming to augment human driving capabilities and reduce the likelihood of accidents. These technologies leverage a combination of sensors, cameras, radar, and advanced algorithms to assist drivers in various aspects of the driving process, ensuring a holistic approach to navigation, security, safety, communications, and diagnosis.​

Assisted Driving

Our Assisted Driving Technology leverages state-of-the-art sensor fusion, integrating data from various sensors such as cameras, radar, lidar, and ultrasonic sensors. This comprehensive approach ensures a robust and real-time understanding of the vehicle's surroundings.

Parking Assistance

These systems utilize sensors and cameras to assist drivers in parking manoeuvres, including parallel parking and perpendicular parking. They provide visual or audible cues to help drivers navigate tight spaces safely.

Traffic Assist

TSR uses cameras or image processing algorithms to detect and interpret traffic signs, including speed limits, stop signs, and no-entry signs. It displays relevant information to the driver, enhancing awareness and compliance with traffic regulations.

Cruise Control

Adaptive cruise control and lane-keeping functionalities. These features provide a seamless driving experience by automatically adjusting speed in response to traffic conditions and assisting in maintaining the vehicle within the designated lane.

A Decade in the Making. Built Ground-Up for Scalable Autonomy.

autovision™

AutoVision has been developed from the ground up over more than a decade of research, validation, and real-world learning. Designed as a modular, software-defined autonomous driving platform, AutoVision is powered by a scalable System-on-Chip (SoC) architecture that enables seamless progression from Level 1 to Level 4 autonomy—without re-engineering the vehicle platform.

AutoVision is not a retrofit solution. It is a native autonomy stack, architected for safety, performance, and mass deployment.

Modular SoC Architecture: The Core of AutoVision

AutoVision’s intelligence is built on a modular, upgradable SoC architecture, integrating:

  • High-performance AI compute (CPU, GPU, NPU)

  • Functional safety controllers (ASIL-D compliant)

  • Sensor fusion accelerators

  • Secure OTA and vehicle network interfaces

This architecture allows progressive autonomy rollout through software activation and compute scaling—future-proofing vehicles from day one.

AutoVision Autonomous Driving Rollout Roadmap

Level 1 – Intelligent Driver Assistance (ADAS Foundation)

“Enhanced Awareness, Assisted Control”

Capabilities

  • Adaptive Cruise Control (ACC)

  • Lane Keeping Assist (LKA)

  • Emergency Braking & Collision Warning

  • Driver monitoring and alerts

AutoVision Advantage

  • Real-time sensor fusion (camera + radar)

  • Edge AI decision-making on a single SoC

  • Data capture pipeline for continuous learning

Outcome: Safer driving, foundational autonomy data layer

Level 2 – Partial Autonomy

“Hands-on Autonomy, Eyes-on Road”

Capabilities

  • Simultaneous steering and speed control

  • Traffic Jam Assist

  • Highway pilot functions

  • Automated lane changes (driver supervised)

AutoVision Advantage

  • Redundant perception pipelines

  • High-confidence object classification

  • Fail-safe fallback logic embedded at SoC level

Outcome: Reduced driver workload, scalable ADAS adoption


Level 3 – Conditional Autonomy

“Eyes-off, Mind-on”

Capabilities

  • Autonomous driving in defined conditions (ODD-based)

  • System-initiated takeover requests

  • Automated emergency maneuvers

  • Advanced sensor fusion (camera + radar + LiDAR*)

(*LiDAR optional, architecture-ready)

AutoVision Advantage

  • Deterministic decision engines

  • Real-time safety arbitration

  • Secure OTA upgrades for autonomy expansion

Outcome: Human driver becomes a supervisor, not an operator


Level 4 – High Autonomy

“No Driver Intervention in Defined Zones”

Capabilities

  • Fully autonomous operation within geo-fenced areas

  • Autonomous urban and campus mobility

  • Robotaxi, logistics, and fleet applications

  • Remote monitoring and fleet orchestration

AutoVision Advantage

  • Multi-SoC compute scaling
  • Redundant perception and control domains
  • Cloud-edge AI coordination for continuous optimization
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Built for Progressive Deployment, Not Disruption

AutoVision enables OEMs and mobility operators to:

  • Launch L1/L2 today

  • Upgrade to L3/L4 via software and compute expansion

  • Preserve vehicle hardware investments

  • Reduce regulatory and certification friction

MOBILITY TECHNOLOGY

AUTOPi™

Autopia serves as a dynamic communication layer that connects vehicles to a network of IoT devices. This connectivity enables real-time data exchange between vehicles and the surrounding environment, fostering a responsive and adaptive driving experience.

Communication

The communication layer facilitates seamless vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communication. This connectivity improves traffic flow, enables cooperative driving, and enhances overall road safety.

Diagnosis

Autopia's diagnostic capabilities monitor vehicle health in real-time. Predictive maintenance alerts, coupled with AI-driven analysis, ensure that potential issues are addressed proactively, minimizing downtime and maximizing efficiency.

Navigation

Autopia revolutionizes navigation by leveraging AI algorithms to analyze traffic patterns, road conditions, and historical data. The system provides real-time, optimized routes, enhancing the overall efficiency of travel.

Cloud Ai

The incorporation of Cloud AI empowers Autopia with vast computational capabilities. This cloud-based intelligence processes and analyzes data from diverse sources, providing vehicles with the ability to make informed decisions based on real-time and historical insights.

Security

Through continuous monitoring and analysis, Autopi enhances vehicle security by identifying and responding to potential threats. Intrusion detection, anti-theft measures, and secure communication protocols contribute to a robust security framework.

A foundational intelligence layer for future mobility ecosystems

autopi™

Autopi™ is an AI-native vehicle connectivity platform that functions as a communication and data orchestration layer between vehicles, IoT devices, infrastructure, and cloud systems.
It enables secure, real-time, bidirectional data exchange to support connected vehicles, electric mobility, autonomous driving, and smart transportation systems.

Autopi™  converts distributed mobility data into structured, machine-readable intelligence for AI systems.

What Is Autopi™

  • A vehicle-to-IoT communication layer

  • A real-time mobility data platform

  • An AI-ready integration framework for V2X systems

Autopia is not a vehicle, not a hardware sensor, and not a consumer app.
It is a software-defined platform designed to integrate with OEM vehicles, EV systems, infrastructure, and smart city networks.

Autopi™ performs the following functions

  • Data Ingestion
    Collects real-time data from vehicles, sensors, infrastructure, and edge devices.

  • Data Normalization
    Converts heterogeneous data into standardized, machine-readable formats.

  • Contextual Intelligence
    Adds environmental, spatial, and temporal context to mobility data.

  • Real-Time Communication
    Enables low-latency, bidirectional communication between vehicles and systems.

  • AI Enablement
    Provides structured inputs for machine learning and autonomous decision systems.

Communication Models

  • Vehicle-to-Infrastructure (V2I)
  • Vehicle-to-Device (V2D)
  • Vehicle-to-Cloud (V2C)
  • Vehicle-to-Fleet (V2F)

hybrid edge-cloud architecture

Edge Layer

  • Low-latency decision support

  • Local data filtering and prioritization

  • Real-time safety and control signals

Cloud Layer

  • Large-scale data aggregation

  • Predictive analytics

  • AI model training and optimization

Data Layer

  • Structured telemetry

  • Event-based signals

  • Geospatial and temporal tagging

MOBILITY TECHNOLOGY

Autoport_new_logo_2024.png

AUTOPORT

Autoport Power leads the charge in battery technology, specializing in energy storage and management systems tailored for Electric Vehicles (EVs). Our cutting-edge innovations optimize performance, extend range, and enhance sustainability, driving the evolution towards a greener and more efficient automotive landscape. By prioritizing reliability, efficiency, and eco-friendliness, we are revolutionizing the way EVs are powered, ensuring a smoother transition to electric mobility and a brighter, cleaner future for generations to come.

Technology Partnership

The partnership positions us as leaders in electrification technology, setting industry standards and inspiring others to embrace innovative solutions for a cleaner future.

Battery Technology

Together with Autoport Power, we are pushing the boundaries of battery technology. Our partnership focuses on developing cutting-edge battery solutions that enhance energy density, charging speed, and overall performance. These advancements contribute to extending the range of electric vehicles and making them more accessible for consumers.

Innovation Hub

The partnership establishes an innovation hub dedicated to research and development. This hub will serve as a centre of excellence where experts from both entities collaborate to push the boundaries of electrification technology, exploring new possibilities for the automotive industry.

Charging Infrastructure

The collaboration places a strong emphasis on creating a robust and efficient charging infrastructure. Autoport Power's expertise in energy management and distribution aligns seamlessly with our goal to establish a comprehensive network of charging stations, ensuring that electric vehicles remain a practical and convenient choice for drivers.

Business Inquiry

For India Markets
Email: connect@kenergymobility.com
Powai, Opp IIT Mumbai, Maharashtra, India.
MON-FRI 09:00 - 19:00, SAT-SUN 10:00 - 14:00