cognibit.de

Cognata delivers large-scale simulation to responsibly accelerate the time to market of automated driving. Cognata’s simulation platform allows for scenario-based ADAS testing which offers ADAS developers an end-to-end solution, including structured test plans in one click, to verify the performance of their ADAS systems. Cognata’s AV off-road simulation is designed to test, train and validate perception and control challenges for terrains that do not offer a clear road definition. Cognata’s 4D urban planning models, incorporating AI-based mobility traffic layers, support Vision Zero by analyzing road safety and traffic flows in cities. Simulating Smart Cities: Cognata offers 4D Urban Planning: Testing and Analysis Engine for Improving Safety & Traffic Municipal Planning with Dynamic Digital Twin technology. Cognata’s leading simulation and Validation software will enable us to accelerate the development and safe deployment of our ADAS and autonomous driving technologies. No doubt that using Cognata Ltd tools is giving us superpowers in designing the perfect lidars and helping our customers understand how those will help them to solve important use cases. Our commercially deployed solution provides ADAS and autonomous vehicle developers a platform of unparalleled realism and scale for training and testing their automated driving technology over billions of virtual miles and custom scenarios safely and at a fraction of the time and cost of physical testing.

Our AI-powered software makes a new kind of user experiences possible. Imagine cars that adapt and learn depending on variables like driver personas and driving situations. To do this, we use a novel psycho-technological approach to model intelligent car features. Every driver is different - with his or her individual needs, preferences & challenges. Today's cars are designed to serve all the people in the same way.

We are convinced that simulation and AI can act as a catalyst for AV deployment at-scale, helping navigate the change responsibly and efficiently. SIMULYTIC brings insight and quantification of the risk of Autonomous Vehicles before they hit the streets. Deployed responsibly, AVs can reduce road deaths and injuries, provide equitable access to underserved communities, drive adoption of car-sharing and electrified mobility. Our start-up DNA runs strong: we are a team of entrepreneurs, simulation experts and AV technologists who have worked in fast-paced environments such as AV start-ups, niche simulation companies, and investment banking. In everything we do, we focus on accelerating the introduction of lifesaving AV Level 4/5 technology. We help those who reshape the mobility landscape - AV operators, innovative (re-)insurers, city governments, regulators - with insight in what autonomous vehicles mean for their domain. To address this rapidly emerging need, SIMULYTIC uses simulation and AI to generate the synthetic driving history of a proposed AV operation and location. We single out risk factors relevant to insurance products and pricing.

BIT-TS specializes in this trend by generating synthetic data and developing the necessary tools. BIT-TS is an international company with staff from all over the globe and strong European partners. BIT-TS grew from a specialized AR/VR software and data annotation company to a full scale synthetic data provider and sensor simulation expert team. BIT-TS provides multi-modal synthetic data sets to complement your autonomous AI system. Our mission is to empower the development of AI. With our expertise in 3D data generation, we have created a powerful toolchain that can generate multi-modal data with detailed ground truth information to train and validate AI. This approach is needed to tackle the transfer of state-of-the-art machine learning methods to different sectors of engineering. Since its company foundation in 2014, BIT-TS has strong ties to Munich and its thriving automotive and tech sectors.

The young neurocat consulted on such optimization, bootstrapping its growth and writing the first ever AI quality standard (DIN SPEC 92001-1, -2, and -3). With our vision validated, and a growing team of coders turning standards and math into a tool, neurocat was now a start-up with more than just an idea, and this attracted investors. Our goal is a world where “safe AI” is not a term, because all AI is safe. Check our articles about neurocat in the ADAS/ADS and ML press and community (external links). This got attention, and led to our first customer, the automobile manufacturer Volkswagen, from which came our first patents and publications. Today, with a team of over 40 persons based in Berlin's tech hub, neurocat is implementing its strategic vision: to scale safe AI with a software that captures our expertise. This software is aidkit, built to improve the robustness of the computer vision systems at the heart of autonomous vehicles. We contribute to public knowledge, because even in an autonomous world, we are in it together.

Our mission is to provide simulation software solutions to enable efficient creation of intelligent machines that understand emotional and behavioural states of people. Simulate your DMS and test it with multiple driver models, variety of driver behavior characteristic and different sensor models and positions. Develop reliable driver monitoring systems in our simulation environment. Use realistic driver models in our simulation that cover individual differences with multiple ethnicities and age groups. Implement the model of specific NIR camera and light sources to generate realistic video sequences.