GaussMoto is backed by a group of engineers from silicon valley. Our highly qualified team comes with a diverse background in Software, Hardware, and System engineering and has experienced working with Tesla, Apple, Cisco, Qualcomm, and other top-notch technology companies.
Our technology and R&D partners and based in San Francisco, Europe, Taiwan, and India brings the highest quality technology to the industry involving a range of product and services from Electric vehicle technology, Battery pack design, Next-generation technology for connected vehicles as well as the Advanced telematics and Artificial intelligence to improve customer safety and satisfaction.
We are investing in disruptive technologies for the next horizon of performance improvements such as machine-to-machine digital connectivity, Connected Vehicles, Telematics, Industrial Internet of Things (IIoT), Machine Learning, and Artificial Intelligence.
With our connected ecosystem, customers can tap into the previously unexplored territory, improving a range of services from convenience to overall safety, performance, and profitability.
The business opportunity starts with the millions of connected vehicles that will demand increased data connectivity to keep the customer experience at its best.
Today when a vehicle leaves the factory, it is just the first version, which will evolve during its lifecycle. It will need to be always connected to receive over-the-air software upgrades and new services for a safer and enriched experience for the user.
ADAS and Safety
ADAS safety features are designed to avoid collisions and accidents by offering technologies that alert the driver to potential problems or to avoid collisions by implementing safeguards and taking over control of the vehicle.
Our solution provides reliable inputs from multiple data sources, including vehicle sensors LiDAR, High precision GNSS, radar, image processing, computer vision, in-car networking, and Vehicle-to-vehicle (V2V), or Vehicle-to-Infrastructure
Gauss Moto platform provides a range of benefits that cannot be achieved through paper systems alone. Our solution provides geolocations throughout the journey of a vehicle, which allows for more efficient tracking of fleets and can be used to determine both arrival times and inform any delays that may occur.
Future of Car Sharing
Move away from traditional manual and paper-based car-sharing and renting model.
Use our automated system for vehicle access, digital contracts, insurance, and in car digital payments.
In the manufacturing, retail, and energy sector, IoT technologies are being used to digitize and automate processes with the goal of reduction in operations costs.
Connected logistics and asset management solutions deliver near-real-time visibility and insights from data analytics which includes the location, condition (temperature, humidity), and handling (tilting, dropping, shock, vibration, open box) of packages that can be tracked at an individual level.
AI and Machine Learning
Machine-learning algorithms are growing more powerfully as computing power advances the big data proliferates.
Gauss Moto is developing various AI/ML models to improve driver and passenger safety, predictive maintenance, and improve fuel economy.
Applying digital, analytics, and IoT technologies are worth over a trillion dollars of value for industrial companies.
IoT and advanced analytics are revolutionizing services and creating new sources of value for industries.
Using our advanced analytics, Machine Learning and AI can help our customers to generate new insights and enable better decision making in predictive maintenance, quality management, demand forecasting, and other areas.
Anticipate service needs before the incident and reduce unplanned downtime!
Traditionally diagnostics on a vehicle occur when the vehicle is at a service center for routine maintenance or when any physical issue is detected on the vehicle. Enabling connectivity in the vehicle the onboard computer can accurately report the reason for failure and reduce diagnostic time and repair time up to 40%.