स्वशासन (Swa-shaasan) is pioneering the next generation of operating systems for electric vehicles. Our mission is to create an intuitive, efficient, and secure platform that enhances the driving experience and empowers users with seamless control over their vehicle's ecosystem. We believe in self-reliance and innovation to drive the future of mobility.
To accelerate development and ensure robustness, we've built a custom, high-fidelity simulation environment. Here, our ego vehicle runs full self-driving scenarios continuously, allowing us to safely test algorithms under countless conditions, explore edge cases, and collect vast amounts of synthetic data crucial for training and validating our AI models.
At the heart of Svashasan OS lies a sophisticated supervised learning model. Trained on millions of miles of real-world driving data and augmented by our synthetic data, this model learns to interpret complex road scenarios, predict behavior of other road users, and make safe, human-like driving decisions. Continuous training ensures adaptation and improvement.
Our vision is powered by high-performance computing, advanced sensor fusion (LIDAR, RADAR, cameras), robust deep learning frameworks (TensorFlow, PyTorch), and scalable cloud infrastructure. Each component resonates with our goal: creating a reliable, efficient, and intelligent OS capable of handling the complexities of autonomous driving.
Safety is paramount. Svashasan OS incorporates rigorous safety parameters and continuously monitors key performance metrics. This includes redundant systems checks, real-time risk assessment algorithms, and adherence to stringent automotive safety standards (like ISO 26262). Both simulated and real-world testing are used extensively to validate safety performance under diverse conditions.
Imagine safer roads, smoother traffic, and productive commutes. This is the future enabled by full self-driving EVs powered by Svashasan OS. With Vehicle-to-Vehicle (V2V) communication, our cars form a collaborative network, sharing real-time insights to optimize routes and prevent accidents collectively, orchestrated by the central intelligence of Svashasan OS.
User-friendly design for effortless control and navigation.
Optimize battery usage and charging for maximum range.
Advanced security protocols to protect your vehicle and data.
Integrate with your favorite apps and services on the go.
Keep your OS up-to-date with the latest features and improvements.
Open APIs for third-party app development and customization.
Svashasan OS is powered by a deeply integrated supervised learning pipeline designed for real-time perception, prediction, and control. Our models are trained on structured multi-sensor datasets combining camera, LiDAR, RADAR, and telemetry inputs to enable high-confidence decision making in complex driving environments.
Raw sensor data is ingested, synchronized, labeled, and validated through our simulation and real-world testing stack. This ensures edge-case robustness and continuous model improvement.
We leverage high-performance compute clusters to train object detection, lane segmentation, behavior prediction, and path planning models. Continuous retraining enables adaptation to evolving road scenarios.
Optimized models are deployed directly into the autonomy kernel, enabling deterministic inference, low-latency execution, and safety-aligned fallback mechanisms.
A glimpse of the minds driving the future of mobility.
Founder & CEO
Director, Promoter
Lead Designer
Robotics and AI Engineer
Founder & CEO
Director, Promoter
Lead Designer
Robotics and AI Engineer
Lead ADAS Engineer
We are proud to be accepted into the NVIDIA Inception Program, nurturing startups revolutionizing industries with advancements in AI and data sciences.
Recognized by the Department for Promotion of Industry and Internal Trade, Government of India.
We have partnered with Pillai College of Engineering for computational resources and access to their High-Performance Computing (HPC) Lab.
Svashasan OS is a vehicle-level autonomous perception and control operating system, not just a UI layer. Unlike infotainment-focused platforms, we manage the critical interface between sensors and vehicle dynamics, providing a unified brain for autonomous EV operation.
We are an ADAS-first system that is inherently scalable. Our autonomy is embedded at the kernel level, supporting L2 assistance today with a roadmap designed to scale to L4. OEMs can deploy specific modules or the full stack.
Tesla is vertically integrated and Android Automotive focuses on infotainment. QNX is a stable RTOS but not autonomy-native. Svashasan OS provides an autonomy-first kernel built specifically for OEM licensing.
We are focusing on Singapore, Japan, and South Korea due to high EV adoption, strong regulatory clarity, and readiness for autonomous mobility pilots.
We operate on a hardware-agnostic licensing model with per-vehicle royalties and optional revenue-sharing for connected services. White-label integrations are supported.
Our functional safety roadmap aligns with ISO 26262 standards and integrates cybersecurity-first architecture to meet international automotive regulations.
Interested in learning more about स्वशासन or exploring partnership opportunities? Reach out to us!
Email: namaste@svashasan.com
