Alternatives to MORAI
Compare MORAI alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to MORAI in 2026. Compare features, ratings, user reviews, pricing, and more from MORAI competitors and alternatives in order to make an informed decision for your business.
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Cognata
Cognata
Cognata delivers full product lifecycle simulation for ADAS and autonomous vehicle developers. Automatically-generated 3D environments and realistic AI-driven traffic agents for AV simulation. Autonomous vehicles ready-to-use scenario library and simple authoring to create millions of AV edge cases. Closed-loop testing with painless integration. Configurable rules and visualization for autonomous simulation. Measured and tracked performance. Digital twin grade 3D environments of roads, buildings, and infrastructure that are accurate down to the last lane marking, surface material, and traffic light. A global, cost-effective, and efficient architecture built for the cloud from the beginning. Closed-loop simulation or integration with your CI/CD environment are a few clicks away. Enables engineers to easily combine control, fusion, and vehicle models with Cognata’s environment, scenario, and sensor modeling capabilities. -
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Various sensors, such as LiDAR, cameras and radar collect environmental data surrounding the vehicle. Using sensor fusion technology perception algorithms can determine in real time the type, location, velocity and orientation of objects on the road. This autonomous perception system is backed by both Baidu’s big data and deep learning technologies, as well as a vast collection of real world labeled driving data. The large-scale deep-learning platform and GPU clusters. Simulation provides the ability to virtually drive millions of kilometers daily using an array of real world traffic and autonomous driving data. Through the simulation service, partners gain access to a large number of autonomous driving scenes to quickly test, validate, and optimize models with comprehensive coverage in a way that is safe and efficient.
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Wayve
Wayve
Wayve is an autonomous driving technology platform that develops AI foundation models to power next-generation self-driving vehicles through its Embodied AI approach. Wayve’s core innovation is a self-learning “AI driver” that enables vehicles to perceive, predict, and navigate complex real-world environments by learning from experience rather than relying on hand-coded rules or high-definition maps. Using primarily camera data and deep learning, the system builds a general-purpose driving intelligence that can adapt to new roads, cities, and vehicles with minimal retraining. Wayve’s mapless, hardware-agnostic architecture allows automakers to deploy advanced driver assistance and autonomous capabilities through software upgrades, supporting automation levels from L2+ to L4. It is designed to learn continuously from real-world and simulated data, enabling safe, natural driving behavior and improved handling of unexpected situations. -
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Discover an open, scalable and modular virtual driving simulator that enables testing against a variety of objectives and performance requirements. Ansys VRXPERIENCE Driving Simulator Powered by SCANeR™ enables you to assemble scenarios, test software, consider vehicle dynamics and experience sensors within a virtual driving environment. It enables a fully virtual driving lab for analyzing performance results. VRXPERIENCE Driving Simulator offers an immersive simulated test-drive experience set within a representative world. Perform exhaustive safety assessments to drive millions of virtual miles in days and accelerate development by 1,000x compared to physical road-testing. As passenger automobiles become more digitalized and more autonomous, they require a wide range of advanced technologies that include sensors, such as cameras, radar and lidars, as well as embedded software supporting automated control systems.
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Momenta
Momenta
Momenta is a leading autonomous driving technology company. Momenta is dedicated to reshaping the future of mobility by offering solutions to enable multiple levels of driving autonomy. It has pioneered a unique scalable path toward full autonomous driving by combining a data-driven approach with iterating algorithms, referred to as its “flywheel approach”, as well as a “two-leg” product strategy focusing on both Mpilot, its mass-production-ready highly autonomous driving solutions, and MSD (Momenta Self-Driving), its driving solution targeting full autonomy. Mpilot is purpose-built mass production ready highly automated driving software solution for private vehicles. Our core product includes Mpilot X, which provides a highly autonomous end-to-end driving experience with full driving scenario coverage and key functions including Mpilot Highway, Mpilot Urban and Mpilot Parking. -
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Tronis
TWT GmbH Science & Innovation
Tronis is an environment for virtual prototyping and for safeguarding driver assistance systems, e.g. for highly automated or autonomous driving . Based on a modern 3D game engine, real driving situations and traffic scenarios can be efficiently mapped and used for testing, e.g. for camera and radar-based environment detection. This can significantly accelerate the development of corresponding systems and reduce the need for real prototypes. -
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Parallel Domain Replica Sim
Parallel Domain
Parallel Domain Replica Sim enables the creation of high-fidelity, fully annotated, simulation-ready environments from users’ own captured data (photos, videos, scans). With PD Replica, you can generate near-pixel-perfect reconstructions of real-world scenes, transforming them into virtual environments that preserve visual detail and realism. PD Sim provides a Python API through which perception, machine learning, and autonomy teams can configure and run large-scale test scenarios and simulate sensor inputs (camera, lidar, radar, etc.) in either open- or closed-loop mode. These simulated sensor feeds come with full annotations, so developers can test their perception systems under a wide variety of conditions, lighting, weather, object configurations, and edge cases, without needing to collect real-world data for every scenario. -
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ENCY Robot
ENCY Software
ENCY Robot is a complete offline programming (CAD/CAM/OLP) solution for industrial robots. It offers precision toolpath calculation, digital twin creation, and advanced kinematic management for a wide variety of robotic processes, including milling, welding, painting, additive manufacturing, and pick-and-place operations. Highlight: - A true all-in-one package: design, technology setup, toolpath calculation and simulation - Support for robots with any kinematics - Robot kinematics optimization for singularity avoidance and collision free movements - Zero-code digital twin builder for robotic cells - Pre-defined postprocessors and high-quality 3D models of robots from top brands With ENCY Robot, users can safely and effectively design, simulate, and refine robotic operations, maximizing productivity and reducing manual intervention in complex production environments. -
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Waymo
Waymo
Waymo is an autonomous driving technology company that develops self-driving vehicles and operates fully driverless transportation services. Originally created as Google’s self-driving car project in 2009, the company later became an independent subsidiary of Alphabet with the goal of making transportation safer, more accessible, and more efficient through autonomous mobility. Its core technology, known as the Waymo Driver, combines artificial intelligence, high-resolution cameras, radar, lidar sensors, and detailed digital maps to allow vehicles to perceive their surroundings and navigate roads without human intervention. It continuously analyzes traffic signals, pedestrians, other vehicles, and road conditions to determine safe driving actions in real time. Before operating in a new area, Waymo vehicles map roads in extreme detail, identifying lane markings, signs, and intersections, and then combine this information with real-time sensor data to maintain precise positioning.Starting Price: Free -
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AWS RoboMaker
Amazon
AWS RoboMaker is a cloud-based simulation service that enables robotics developers to run, scale, and automate simulations without managing any infrastructure. It allows for cost-effective scaling and automation of simulation workloads, supports large-scale and parallel simulations with a single API call, and facilitates the creation of user-defined, randomized 3D virtual environments. Developers can perform automated regression testing within a continuous integration and continuous delivery pipelines, train reinforcement learning models through extensive iterative trials, and connect multiple concurrent simulations to fleet management software for comprehensive testing. By integrating with AWS machine learning, monitoring, and analytics services, AWS RoboMaker enables robots to stream data, navigate, communicate, comprehend, and learn. Connect multiple concurrent simulations to your fleet management software for testing. -
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Pony.ai
Pony.ai
We are developing safe and reliable autonomous driving technology globally. Having accumulated millions of kilometers in autonomous road testing in complex scenarios, we have built a solid foundation to deliver autonomous driving systems at scale. Pony.ai was the first to launch Robotaxi service in December 2018, allowing passengers to hail self-driving cars via the PonyPilot+ App to start a new, safe and enjoyable journey. The service is currently available in Guangzhou, Beijing, Irvine, CA, and Fremont, CA. We have launched autonomous mobility pilots in multiple cities across the US and China, serving hundreds of riders every day. These pilots have enabled us to build a strong technical and operational foundation to further expand and improve our service. We have come together to tackle the biggest tech challenges in mobility. We are making concrete progress every day toward our vision of autonomous mobility everywhere. -
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Webots
Cyberbotics
Cyberbotics' Webots is an open source, multi-platform desktop application designed for modeling, programming, and simulating robots. It offers a comprehensive development environment that includes a vast asset library with robots, sensors, actuators, objects, and materials, facilitating rapid prototyping and efficient robotics project development. Users can import existing CAD models from tools like Blender or URDF and integrate OpenStreetMap data to create detailed simulations. Webots supports programming in multiple languages, including C, C++, Python, Java, MATLAB, and ROS, providing flexibility for diverse development needs. Its modern GUI, combined with a physics engine and OpenGL rendering, enables realistic simulation of various robotic systems, such as wheeled robots, industrial arms, legged robots, drones, and autonomous vehicles. The platform is widely utilized in industry, education, and research for tasks like robot prototyping, and AI algorithm development.Starting Price: Free -
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Aptiv
Aptiv
Aptiv is a global technology company that develops safer, greener and more connected solutions enabling the future of mobility. Aptiv is focused on developing and commercializing autonomous vehicles and systems that enable point-to-point mobility via large fleets of autonomous vehicles in challenging urban driving environments. With talented teams working across the globe, from Boston to Singapore, Aptiv is the first company to deploy a commercial, autonomous ride-hailing service based in Las Vegas. Aptiv has provided over 100,000 public passenger rides, with 98% of passengers rating their Aptiv self-driving experience 5-out-of-5 stars. At Aptiv, we believe that our mobility solutions have the power to change the world. -
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Applied Intuition Vehicle OS
Applied Intuition
Applied Intuition Vehicle OS is a scalable, modular platform that enables automakers, commercial fleets, and defense integrators to develop, deploy, and update comprehensive vehicle software, hardware, and AI applications across all domains, from ADAS and infotainment to autonomy and digital services. The on-board SDK provides embedded real-time OS, drivers, middleware, and reference compute architecture for safety-critical and consumer‑facing functions, while the off-board platform supports cloud-based data logging, remote diagnostics, OTA vehicle updates, and digital twin management. Developers work within a unified Workbench environment featuring integrated build and testing tools, CI pipelines, and automated validation workflows. It bridges vehicle intelligence across ecosystems by combining autonomy stacks, simulation suites including vehicle dynamics and sensor simulation, and a vibrant developer toolchain. -
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Helm.ai
Helm.ai
We license AI software throughout the L2-L4 autonomous driving stack, perception, intent modeling, path planning, and vehicle control. Highest accuracy perception and intent prediction, leading to safer autonomous driving systems. Unsupervised learning and mathematical modeling, instead of supervised learning, allow learning from huge datasets. Our technologies are up to several orders of magnitude more capital-efficient, enabling much lower cost of development. Helm.ai full scene vision-based semantic segmentation fused with Lidar SLAM output from Ouster. L2+ autonomous driving with Helm.ai across highways 280 to 92 to 101, lane-keeping + ACC lane changes. Helm.ai pedestrian segmentation, with key-point prediction. Pedestrian segmentation and keypoint detection. Rain lane detection corner cases and Lidar-vision fusion. Full scene semantic segmentation, botts dots, and faded lane markings. -
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RoSi
Robotec.ai
RoSi is an end-to-end digital twin simulation platform that accelerates the development, training, and testing of robotics and automation systems, utilizing Software-in-the-Loop (SiL) and Hardware-in-the-Loop (HiL) simulations and generating synthetic datasets. It is applied to both classic and AI-powered technologies. RoSi is offered as a SaaS or on-premise software product. Key benefits include support for multiple robots and systems, realistic real-time simulation, unmatched performance and cloud scalability, open and interoperable standards (ROS 2, O3DE), and AI integrations for synthetic datasets and embodied AI. RoSi for Mining is designed to meet the needs of modern mining. It is utilized by mining companies, providers of mining technologies, and OEMs working within the mining industry. RoSi mining harnesses the power of optimized digital twin simulation technologies and scalable architecture to develop, validate, and test mining systems with unmatched efficiency and accuracy. -
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CoppeliaSim
Coppelia Robotics
CoppeliaSim, developed by Coppelia Robotics, is a versatile and powerful robot simulation platform utilized for rapid algorithm development, factory automation simulations, fast prototyping and verification, robotics education, remote monitoring, safety double-checking, and digital twin creation. It features a distributed control architecture, allowing each object or model to be individually controlled via embedded scripts (Python or Lua), plugins (C/C++), remote API clients (Python, Lua, Java, MATLAB, Octave, C, C++, Rust), or custom solutions. The simulator supports five physics engines, MuJoCo, Bullet Physics, ODE, Newton, and Vortex Dynamics, for fast and customizable dynamics calculations, enabling realistic simulation of real-world physics and object interactions, including collision response, grasping, soft bodies, strings, ropes, and cloths. CoppeliaSim provides forward and inverse kinematics calculations for any type of mechanism.Starting Price: $2,380 per year -
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HAULSIM
RPMGlobal
HAULSIM connects the fleet assets, mining operational plans and the people to build a ‘digital twin’ of any mining operation – open pit or underground – to deliver an accurate representation of any mine sites haulage operations. With a 3-D Discrete Event Simulation (DES) engine, at its core, HAULSIM is the only mining simulation software that can quantify the impact of changes as the models reflect the complex and dynamic nature of a mine site in its entirety; including the variability, interactions and dependencies that occur in these systems. Decisions to a mine haulage system can be based on real data giving the user the ability to test multiple ‘why’ and ‘what-if’ scenarios to reduce operating costs through optimised performance, and ensure overall operational safety and efficiency. -
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NVIDIA Cosmos
NVIDIA
NVIDIA Cosmos is a developer-first platform of state-of-the-art generative World Foundation Models (WFMs), advanced video tokenizers, guardrails, and an accelerated data processing and curation pipeline designed to supercharge physical AI development. It enables developers working on autonomous vehicles, robotics, and video analytics AI agents to generate photorealistic, physics-aware synthetic video data, trained on an immense dataset including 20 million hours of real-world and simulated video, to rapidly simulate future scenarios, train world models, and fine‑tune custom behaviors. It includes three core WFM types; Cosmos Predict, capable of generating up to 30 seconds of continuous video from multimodal inputs; Cosmos Transfer, which adapts simulations across environments and lighting for versatile domain augmentation; and Cosmos Reason, a vision-language model that applies structured reasoning to interpret spatial-temporal data for planning and decision-making.Starting Price: Free -
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Kodiak Driver
Kodiak
Kodiak AI’s technology centers on the Kodiak Driver, a unified autonomous driving platform that combines advanced AI-powered software with modular, vehicle-agnostic hardware to enable scalable, real-world autonomy for trucks and ground vehicles. Designed to integrate seamlessly across different vehicle types and operating conditions, the system uses a suite of sensors, housed in field-swappable SensorPods for full 360° perception, deep-learning based perception models to interpret complex environments, forward planning to anticipate changes in the road ahead, and redundant compute, power, steering, and braking systems engineered for safety and reliability in demanding use cases. It supports deployment in commercial long-haul trucking, industrial logistics, and defense ground vehicles, with connectivity and telematics enabling over-the-air updates, remote fleet management, and Assisted Autonomy capabilities that allow human oversight. -
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TruckMaker
IPG Automotive
TruckMaker is a real-time simulation solution specifically tailored to the requirements relevant for the development and testing of heavy-duty vehicles such as trucks, construction vehicles, buses, semi-trucks, heavy-duty semi-trucks, and special vehicles. TruckMaker enables the accurate modeling of real-world test scenarios in the virtual world and increases the agility of development processes. In accordance with the automotive systems engineering approach, virtual test driving with TruckMaker enables the seamless development, calibration, testing, and validation of entire systems across the whole vehicle in realistic scenarios. TruckMaker offers a high-performance, real-time capable vehicle model to build virtual prototypes already during the early stages of the development process. Users have the option to replace components with their own models or hardware. -
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NVIDIA DRIVE Map
NVIDIA
NVIDIA DRIVE® Map is a multi-modal mapping platform designed to enable the highest levels of autonomy while improving safety. It combines the accuracy of ground truth mapping with the freshness and scale of AI-based fleet-sourced mapping. With four localization layers—camera, lidar, radar, and GNSS—DRIVE Map provides the redundancy and versatility required by the most advanced AI drivers. DRIVE Map is designed for the highest level of accuracy, the ground truth map engine creates DRIVE Maps using rich sensors—cameras, radars, lidars, and differential GNSS/IMU—with NVIDIA DRIVE Hyperion data collection vehicles. It achieves better than 5 cm accuracy for higher levels of autonomy (L3/L4) in selected environments, such as highways and urban environments. DRIVE Map is designed for near real-time operation and global scalability. Based on both ground truth and fleet-sourced data, it represents the collective memory of millions of vehicles. -
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WaveFarer
Remcom
WaveFarer is a high-fidelity radar simulator that accounts for multipath and scattering from structures and vehicles in the immediate environment of a radar system as well as key atmospheric and scattering effects for frequencies up to and beyond 100 GHz. Applications include simulation of automotive drive scenarios, indoor sensors, and far-field radar cross section (RCS). WaveFarer’s features enable fast and accurate analysis of scenarios with radars in close proximity to structures, targets, and other features in a simulated environment. WaveFarer is designed to support all applications relevant to the simulation and analysis of a radar system. For automotive radar, this includes evaluating radar sensor placement and target returns within a simulated drive scenario environment. For surveillance radar applications, this includes analysis of target radar cross section (RCS) and the impact of materials on results. -
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PRODRIVER
embotech
PRODRIVER is Embotech’s solution to the problem of motion planning for autonomous or highly-automated vehicles. It is an essential component of the autonomous driving software stack, within the so-called ‘decision making’ layer. As a motion planner, PRODRIVER is responsible to generate drivable trajectories or directly actuator commands such as steering, accelerating and braking. These are computed given the surrounding environment information. PRODRIVER does so by continuously making predictions and solving an optimization problem in real time. Its most important inputs are information about the drivable space, the obstacles within it and a goal (which could be a position or an objective such as making progress along a route). Its outputs can be used directly to control the vehicle or to provide set-points for the vehicle’s low-level controllers to track. The diagram below gives a schematic overview of how PRODRIVER is integrated within a typical autonomous vehicle software stack. -
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MotorcycleMaker
IPG Automotive
MotorcycleMaker is a real-time simulation solution specifically tailored to the requirements relevant for the development and testing of motorized two-wheelers such as motorcycles, e-bikes, and scooters. It enables the accurate modeling of real-world test scenarios in the virtual world and increases the agility of development processes. In accordance with the automotive systems engineering approach, virtual test driving with MotorcycleMaker enables the seamless development, calibration, test, and validation of entire systems across the whole vehicle in realistic scenarios. MotorcycleMaker offers a high-performance, real-time capable vehicle model to build virtual prototypes already during early stages of the development process. Users have the option to replace components with their own models or hardware. -
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DriveMod
Cyngn
DriveMod is Cyngn’s full-stack autonomous driving solution. It integrates with off-the-shelf sensing and computing hardware to enable industrial vehicles to perceive the world, make decisions, and take action. DriveMod has been engineered to integrate smoothly into your existing workflows, enabling you to easily program vehicle routes, loops, and missions. In short, if a human driver can do it so can DriveMod. Safely bring autonomous capabilities to any commercially available vehicle through a retrofit. Drivemod’s flexibility ensures heterogeneous fleets operate smoothly regardless of vehicle type or manufacturer. Our AI software combines with leading sensors and computing hardware to create capabilities that far exceed that of human drivers. DriveMod can detect thousands of objects, propose thousands of candidate paths, and then navigate the optimal route — all in fractions of a second. -
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Carziqo
Carziqo
Carziqo is an innovative technology company focused on autonomous driving and smart mobility services. We are committed to transforming the way people travel and earn through intelligent transportation technology. As a global leader in self-driving car rental, Carziqo provides individuals and enterprises with high-performance, intelligent, and safe autonomous vehicles, enabling every user to effortlessly embrace the future of technology. We offer more than just a car — we provide a complete intelligent mobility solution. Through the Carziqo platform, users can rent autonomous vehicles for logistics delivery or ride-hailing services, easily generating additional income. Whether for individual entrepreneurs or business clients, Carziqo empowers users to achieve more efficient, eco-friendly, and cost-effective smart transportation. -
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Cosmo Tech
Cosmo Tech
Cosmo Tech provides a 360° Simulation Digital Twin platform to solve the most complex industrial problems and lead enterprise decision making. Industrial companies rely on Cosmo Tech to predict the evolution of their organization to better understand the impact of their decisions and optimize all levels of enterprise planning; ensuring a future that is robust, resilient and sustainable. Develop scenarios that involve disruptions in your system to plan for the future. By running simulations including the likes of machine breakdowns, workers’ strikes, and increased costs, you can anticipate how to recover quickly in these events. Uncover which range of parameters and processes to adjust in your digital twin to make complex decisions with confidence. View all the variables that go into decision making, as well as cascading effects from altering them, at a glance. -
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MotoSim
Yaskawa Motoman
Yaskawa Motoman's MotoSim EG-VRC (Enhanced Graphics Virtual Robot Controller) is a sophisticated offline programming and 3D simulation software tailored for the precise programming of complex robotic systems. It enables users to construct and simulate robotic work cells virtually, eliminating the need for physical robots during the development phase. Key features include optimizing robot and equipment placement, reach modeling, accurate cycle time calculations, automatic path generation, collision detection, system configuration, condition file editing, and Functional Safety Unit (FSU) configuration. The software incorporates a virtual robot controller, providing a programming pendant interface identical to the actual controller, ensuring a seamless transition from simulation to real-world application. Additionally, MotoSim EG-VRC offers access to an extensive model library, allowing users to download a broad range of third-party models to enhance their simulations. -
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Hivemind
Shield AI
We’re building Hivemind, our AI pilot, to enable swarms of drones and aircraft to operate autonomously without GPS, communications, or a pilot. Our mission is to protect service members and civilians with intelligent systems. More than just preset behaviors & waypoints. Like a human pilot, Hivemind reads and reacts to the battlefield, and does not require GPS, waypoints, or prior knowledge to make decisions. It is the first and only fully autonomous AI pilot deployed in combat since 2018. From indoor building clearance with quadcopters to integrated air defense breach with fixed-wing drones, and F-16 dogfights, Hivemind™ learns and autonomously executes missions. A new generation of aircraft flown by Hivemind to provide persistent aerial dominance across sea, air, and land, on the tactical edge. -
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NVIDIA DRIVE
NVIDIA
Software is what turns a vehicle into an intelligent machine. The NVIDIA DRIVE™ Software stack is open, empowering developers to efficiently build and deploy a variety of state-of-the-art AV applications, including perception, localization and mapping, planning and control, driver monitoring, and natural language processing. The foundation of the DRIVE Software stack, DRIVE OS is the first safe operating system for accelerated computing. It includes NvMedia for sensor input processing, NVIDIA CUDA® libraries for efficient parallel computing implementations, NVIDIA TensorRT™ for real-time AI inference, and other developer tools and modules to access hardware engines. The NVIDIA DriveWorks® SDK provides middleware functions on top of DRIVE OS that are fundamental to autonomous vehicle development. These consist of the sensor abstraction layer (SAL) and sensor plugins, data recorder, vehicle I/O support, and a deep neural network (DNN) framework. -
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Qualcomm Snapdragon Ride
Qualcomm
The Qualcomm® Snapdragon Ride™ Platform is one of the automotive industry’s most advanced, scalable and fully customizable automated driving platforms. It will facilitate automotive suppliers and automakers flexibility to deploy the safety, convenience and autonomous driving features in demand today--with the ability to scale in the future. Reliable, extreme, auto-ready performance at low power with more simplicity and higher automotive safety. And unlike other autonomous driving solutions that require liquid cooling, the Snapdragon Ride Platform is passive or air-cooled. Our comprehensive customizable platform features multi-ECU aggregation, allowing it to easily scale from Active safety to Convenience to full Self-Driving across a wider range of vehicles. In addition to our high-performance, energy-efficient hardware, the new Snapdragon Ride Autonomous Stack combines with the hardware to provide one of the most robust vehicle perception and driving brains available. -
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KUKA.Sim
KUKA
KUKA.Sim is an intelligent simulation software designed for efficient offline programming of KUKA robots, enabling users to optimize system and robot operations outside the production environment swiftly and effortlessly. The software facilitates the creation of digital twins, providing an identical representation of subsequent production processes. This 3D simulation encompasses the entire planning process, from process design and visualization of material flows to identifying bottlenecks and generating PLC code. KUKA.Sim ensures 100% data consistency, allowing both virtual and real controllers to operate with identical data, thereby laying the groundwork for virtual commissioning. This approach enables pre-testing and optimization of new production lines, offering significant time savings by allowing rapid and individualized planning of system and robot concepts without the necessity of physical construction.Starting Price: Free -
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Speedscale
Speedscale
Validate the performance and quality of your apps with real-world traffic scenarios. Preview code performance, quickly spot problems, and rest assured your app runs optimally when it’s time to release. Mimic real-life scenarios, test load, and create intelligent simulations of third-party and internal backend systems to better prepare for production. No need to spin up costly new environments each time you test. Built-in autoscaling drives your cloud costs down even further. Bypass complex, homegrown frameworks and manual test scripts so you can ship more code, faster. Be confident that new code changes can handle high-traffic scenarios. Prevent major outages, meet SLAs, and protect the customer experience. Simulate third-party systems and internal backends for more reliable, affordable testing. No need to spin up costly, end-to-end environments that take days to deploy. Seamlessly migrate off legacy architecture without disrupting the customer experience.Starting Price: $100 per GB -
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Robotmaster
Robotmaster
Robotmaster is an offline programming software for industrial robots that seamlessly integrates cell layout and planning, CAD-to-path programming, program optimization, simulation, and code generation. It supports multiple robot brands, configurations, and applications, allowing for seamless integration and output of code for real-world cell applications. The software enables users to program high-mix, low-volume production, automate complex shape processes, and increase efficiency while lowering costs. Key features include a simplified user experience for quick learning, automatic detection and avoidance of robot errors, optimization of robot programs to reduce cycle time, and management of complex cells with multiple robots and external devices. Robotmaster also facilitates the validation of robotic processes through simulation, ensuring that programs are accurate and efficient before implementation. -
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Aurora Driver
Aurora
Created from industry-leading hardware and software, the Aurora Driver is designed to adapt to a variety of vehicle types and use cases, allowing us to deliver the benefits of self-driving across several industries, including long-haul trucking, local goods delivery, and people movement. The Aurora Driver consists of sensors that perceive the world, software that plans a safe path through it, and the computer that powers and integrates them both with the vehicle. The Aurora Driver was designed to operate any vehicle type, from a sedan to a Class 8 truck. The Aurora Computer is the central hub that connects our hardware and autonomy software and enables the Aurora Driver to seamlessly integrate with every vehicle type. Our custom-designed sensor suite—including FirstLight Lidar, long-range imaging radar, and high-resolution cameras—work together to build a 3D representation of the world, giving the Aurora Driver a 360˚ view of what’s happening around the vehicle in real time. -
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Gazebo
Gazebo
Gazebo is an open source robotics simulator that provides high-fidelity physics, rendering, and sensor models for developing and testing robot applications. It supports multiple physics engines, including ODE, Bullet, and Simbody, enabling accurate dynamics simulation. Gazebo offers advanced 3D graphics through rendering engines like OGRE v2, delivering realistic environments with high-quality lighting, shadows, and textures. It includes a wide array of sensors, such as laser range finders, 2D/3D cameras, IMUs, GPS, and more, with the ability to simulate sensor noise. Users can develop custom plugins for robot, sensor, and environment control, and interact with simulations via a plugin-based graphical interface powered by Gazebo GUI. Gazebo provides access to numerous robot models, including PR2, Pioneer2 DX, iRobot Create, and TurtleBot, and allows users to build new models using SDF.Starting Price: Free -
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Codeaid
Scopic
Codeaid is an AI-powered coding assessment and interview platform for evaluating software engineers using realistic, job-relevant challenges. It combines in-depth, take-home coding assessments with an autonomous AI Interviewer that evaluates how candidates think, code, and solve problems in real-world scenarios. Instead of short quizzes or abstract algorithm tests, Codeaid uses Git-based projects that mirror real developer workflows. Candidates are assessed on language and framework knowledge, coding fundamentals, application design, and problem-solving ability. The platform provides granular automated scoring and is designed to be resistant to AI-assisted cheating through unique datasets and task structures. Key features include: Autonomous AI technical interviews for software engineers Real-world, take-home coding challenges Git-based testing environment Granular automated scoring Plagiarism and inauthentic work detection Centralized dashboardStarting Price: Free -
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AutonomouStuff
AutonomouStuff
World’s premier automated platform provider. Starting with a customizable R&D vehicle platform can accelerate your work on advanced driver assistance systems (ADAS), advanced algorithm development and automated driving initiatives — or help take your driverless efforts to the next level. Step-by-step specification of your own R&D vehicle platform, from the vehicle to sensors, software and storage. When you purchase a platform from AutonomouStuff, we’re part of your team. A knowledgeable and experienced project manager stays in touch with you on a regular basis to keep you current on platform updates and to make sure we’re meeting your needs. -
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E-Hub NDI
Applied Computing & Engineering
e-hub NDI is the acronym of Engineering hub for Non-Destructive Inspection. The software is a flexible platform for a variety of manufacturing inspection needs. Design & Simulate in software, then generate the program for the robot controller. e-hub NDI is an offline simulation and programming software for robotic non-destructive testing. The sensor performing the inspection may or may not be in contact with the part to be inspected. -
41
ArduPilot
ArduPilot
ArduPilot is a trusted, versatile, and fully open source autopilot software platform that runs on a wide range of onboard hardware to control autonomous unmanned vehicles including multicopter drones, fixed-wing aircraft and VTOLs, helicopters, ground rovers, boats, submarines, antenna trackers and other robotic platforms; it provides flight control, stabilization, navigation, mission planning and failsafes for fully autonomous, semi-autonomous and manual operations. It is developed and maintained by a large global community and supports multiple vehicle types with dedicated firmware branches, customizable parameters, and broad sensor and hardware support to interpret GPS, IMU, barometer, magnetometer, and other telemetry inputs for precise control and mission execution. ArduPilot integrates with ground control station applications like Mission Planner, QGroundControl, APM Planner, and others to configure hardware and plan missions with waypoints. -
42
AgentBench
AgentBench
AgentBench is an evaluation framework specifically designed to assess the capabilities and performance of autonomous AI agents. It provides a standardized set of benchmarks that test various aspects of an agent's behavior, such as task-solving ability, decision-making, adaptability, and interaction with simulated environments. By evaluating agents on tasks across different domains, AgentBench helps developers identify strengths and weaknesses in the agents’ performance, such as their ability to plan, reason, and learn from feedback. The framework offers insights into how well an agent can handle complex, real-world-like scenarios, making it useful for both research and practical development. Overall, AgentBench supports the iterative improvement of autonomous agents, ensuring they meet reliability and efficiency standards before wider application. -
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MapleSim
Waterloo Maple
From digital twins for virtual commissioning to system-level models for complex engineering design projects, MapleSim is an advanced modeling tool that helps you reduce development time, lower costs, and diagnose real-world performance issues. Remove vibrations with better control code, not hardware upgrades. Diagnose root-cause performance issues with detailed simulation results. Validate new design performance before physical prototyping. MapleSim is an advanced system-level modeling and simulation tool that applies modern techniques to dramatically reduce model development time, provide greater insight into system behavior, and produce fast, high-fidelity simulations. Scale and connect as the needs of your simulations grow more complex. Take your designs further with our flexible modeling language. Combine components across different domains in a virtual prototype. Solve tough machine performance problems. -
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Azure IoT Solution Accelerators
Microsoft
Kick-start your implementation of common Internet of Things (IoT) scenarios like remote monitoring, industrial IoT (IIoT), predictive maintenance, and device simulation. Get all the required cloud-based services you need—including all required application code—for a successful, efficient, and streamlined build and deployment. Maintain full control of your solution design and tailor already deployed services to meet your need. Visualize data in a preconfigured dashboard and set rules to trigger actions through the user interface. Develop and test your IoT solution on simulated devices using the device simulation solution accelerator. Conduct realistic tests using complex device models to emulate real-world scenarios. Use the device simulation web app to configure and run simulations. Connect and monitor your industrial assets using standards like OPC-UA with the Azure IoT connected factory solution accelerator. -
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NVIDIA Modulus
NVIDIA
NVIDIA Modulus is a neural network framework that blends the power of physics in the form of governing partial differential equations (PDEs) with data to build high-fidelity, parameterized surrogate models with near-real-time latency. Whether you’re looking to get started with AI-driven physics problems or designing digital twin models for complex non-linear, multi-physics systems, NVIDIA Modulus can support your work. Offers building blocks for developing physics machine learning surrogate models that combine both physics and data. The framework is generalizable to different domains and use cases—from engineering simulations to life sciences and from forward simulations to inverse/data assimilation problems. Provides parameterized system representation that solves for multiple scenarios in near real time, letting you train once offline to infer in real time repeatedly. -
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Fuzzy Studio
Fuzzy Logic Robotics
Visual no-code robot programming and simulation. Designed for people who are not robotics experts. Compatible with all major robot brands (ABB, FANUC, KUKA, Staübli, Universal Robot & Yaskawa). Enables both offline and online robotic programming. Program any robot - no coding skills necessary. There is no need to learn or understand programming to use a robot. With our no-code user interface, visually interact with the 3D simulated environment and the robot programs are automatically generated for you. Get up and running right away without wasting time on details. Figure out how robotics can work for you with step-by-step application tutorials and our clear user interface. Design and simulate your robotic workcell. Design, simulate and modify an entire robotic process in just a few clicks. In Fuzzy Studio, anyone can layout, test, and reconfigure their robotic workcell. -
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Urbiverse
Urbiverse
Urbiverse helps you make smarter strategic decisions about urban mobility and logistics with AI‑driven simulations, synthetic data solutions, real‑time what‑if analysis, and optimized fleet sizing and infrastructure planning. It enables operators to forecast demand based on historical data, events, seasonal trends and real‑time analytics; simulate scenarios to determine the impact of new ride‑sharing, bike‑sharing, cargo‑bike or fleet‑size programs on traffic, user satisfaction, environmental goals, profitability and costs; evaluate financial implications under various tender conditions; optimize fleet distribution, operations management and micromobility parking; and combine real‑time and historical data to allocate resources efficiently across different vehicle types, empowering mobility operators and planners to move from guesswork to data‑driven decisions. Urbiverse processes millions of trips, supports infrastructure planning, and empowers urban fleet planners to test scenarios. -
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RobotStudio
ABB
RobotStudio is the world’s most popular offline programming and simulation tool for robotic applications. Based on the best-in-class virtual controller technology, the RobotStudio suite gives you full confidence that what you see on your screen matches how the robot will move in real life. Enabling you to build, test, and refine your robot installation in a virtual environment, this unique technology speeds up commissioning time and productivity by a magnitude. The RobotStudio desktop version allows you to carry out programming and simulation without disturbing ongoing production. RobotStudio cloud enables individuals and teams to collaborate in real-time on robot cell designs from anywhere in the world, on any device. The RobotStudio Augmented Reality Viewer enables you to visualize robots and solutions in a real environment or in a virtual room on any mobile device for free. Both the desktop and mobile applications enable teams to collaborate and make faster decisions. -
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NODAR
NODAR
NODAR has re-imagined stereo vision using patented algorithms that enable standard cameras to deliver unprecedented 3D range, precision, and reliability. NODAR's advanced 3D vision technology is engineered to push the limits of what's possible in automotive and industrial applications. Whether passenger vehicles, autonomous trains, or monitoring and surveillance applications, reliable 3D data is critical to safety and performance. NODAR provides industry-leading 3D spatial data for autonomous systems across industries. Autonomy is transforming nearly every aspect of society, boosting output, delivering convenience, and enhancing safety. In many outdoor settings, conditions can be harsh and demanding. Automated equipment must operate 24 hours a day in the face of inclement weather, glare, dust, and high vibration. NODAR technology and products deliver unparalleled data, precision, and reliability for safety-critical applications that depend on 3D data. -
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OCTOPUZ
OCTOPUZ
OCTOPUZ is an intelligent offline robot programming software that enables path-sensitive, complex robot applications to be programmed without disrupting your manufacturing process and without the need for an onsite robot programming expert. By programming robot functions in a virtual, offline environment, OCTOPUZ eliminates the need to take robots off production, thereby enhancing productivity and profitability. The software supports multiple robot brands, configurations, and applications, allowing for seamless integration and output of code for real-world cell applications. Key features include a simplified user experience for quick learning, automatic detection and avoidance of robot errors, optimization of robot programs to reduce cycle time, and management of complex cells with multiple robots and external devices. OCTOPUZ also facilitates the validation of robotic processes through simulation, ensuring that programs are accurate and efficient before implementation.
