Products and Services

Our Portfolio

Mercedes Benz

Enhance interaction between driver and car by detecting driver hand gesture for superior level driver experience with Mercedes Benz User Experience - MBUX System.


Accurate, low footprint detection with vulnerable roadside users (VRUs) and road signs covered in the Bosch-Daimler autonomous driving initiative.

Fitness Pose Estimation

Empowering exercise perfection with AI-driven real-time pose estimation, providing interactive visual feedback for correct posture and effective workouts.

Federated Learning on the Edge

Revolutionizing privacy and efficiency in data processing with Federated Learning (FL) on edge devices, enabling real-time, secure analytics in several key sectors.

AI-Assisted Dermatology

Advancing AI-powered Dermatology solutions: Identification, insights & assistance for better skin lesion treatment outcomes and accessible dermatological care.

Loneliness Assistant

Personalised assistant designed to empthatize with humans and serves as a close companion by engaging in an emotionally deep manner

RAG based Personal Diary

Smart, diary-like system that effortlessly organizes and retrieves your daily activities and information with cutting-edge Retrieval-Augmented Generation techniques.

Data Query Assitant

Transforming data access with a natural language interface that converts queries into SQL, simplifying database interaction


Leveraging AI and robotics to optimize the supply chain routing, effective operations management for the successful fulfillment of orders.


AutoMTO enables us to create, modify, and manage all kinds of piping and instrumentation diagrams including support structures, equipment design, generation of isometric, and orthographic sketching.

Numbers don't lie!


Years of Experience










Computer-implemented method and apparatus for tracking and reshaping a human shaped figure in a digital world video
The invention concerns a computer-implemented method for tracking and reshaping a human-shaped figure in a digital video comprising the steps: acquiring a body model of the figure from the digital video, adapting a shape of the body model, modifying frames of the digital video, based on the adapted body model and outputting the digital video.
Method for Identifying a Hand Pose in a Vehicle
A method for activating vehicle functions via hand gestures, utilizing a 3D Convolutional Neural Network (3D-CNN) and Gated Recurrent Unit (GRU) to analyze video frames and extract spatio-temporal features. A prediction module simultaneously assesses the gesture's progression and classifies it, employing predefined models to determine the gesture's type and its completion rate. Upon accurate detection and classification, a corresponding event is triggered within the vehicle.
Method and system for triggering an event in a vehicle
Embodiments of present disclosure relates to method for identifying a hand pose in a vehicle, and a system for performing an event in a vehicle. A hand image for a hand in the vehicle, is extracted from a vehicle image of the vehicle for identification. Plurality of contextual images of the hand image is obtained based on the single point. A hand pose associated with the hand is identified based on the plurality of contextual features using a classifier model.
System and method for deployment of airbag based on head pose estimation
Advanced airbag deployment control system designed for vehicular use incorporating an image sensor unit that captures real-time images of a vehicle occupant, focusing particularly on head localization. Utilizing a processing unit equipped with Long Short Term Memory (LSTM) neural network architecture, the system analyzes images to determine and predict the future position and orientation of the occupant's head. The system dynamically adjusts the direction in which the airbag flap is removed and the airbag's inflation pressure, ensuring optimal safety by adapting the deployment to the predicted head position at the moment of impact.