Applied Intuition and Embark Technology have entered into a definitive merger agreement. Under the agreement, Applied will acquire Embark.

Applied Intuition and NI are working together to provide reliable test systems for ADAS and AD validation, enabling the automotive industry to bring their products to market faster.

Applied Intuition has been selected by AFWERX Prime to deliver a virtual sensor optimization solution to enable faster sensor selection, configuration, and experimentation for aerial systems.

This case study explores whether synthetic traffic sign data can improve a perception model’s traffic sign classification performance. Its results show that synthetic data reduces the need for real training data by 90%.

Applied Intuition and LG Electronics are partnering to accelerate the development of camera systems for autonomous mobile robots (AMRs) with synthetic training data.

The SceneBox platform enables engineers to train better, more accurate ML models with a data-centric approach.

May Mobility uses Applied Intuition’s large-scale simulation solutions to accelerate its software development cycle and improve its rider experience while saving time and resources.

Applied Intuition is proud to sponsor Carnegie Autonomous Racing (CAR)—a student-led club at Carnegie Mellon University. Founded in January 2022, CAR builds autonomous systems through experiential learning and driverless racing.

Ambarella and Applied’s joint solution enables customers to run Applied-powered simulations directly on Ambarella’s CV3-AD hardware-in-the-loop (HIL) card without waiting for an electronic control unit (ECU) to become available.

Without logistics, even the most brilliant plans aren’t worth the paper upon which they are written. Autonomy-enabled logistics can open up many opportunities for commanders operating in unstable environments that challenge long-held assumptions.

Applied Intuition announces three new additions to the National Security and Defense Advisory Board, including prominent leaders from the U.S. Department of Defense and national security ecosystem.

Applied Intuition has been selected by the Army and the Defense Innovation Unit (DIU) to deliver an end-to-end autonomy software development and test platform for the Army’s Robotic Combat Vehicle.

Part 3 of our log management handbook series explains how autonomy programs can reproduce and resolve issues by creating simulation test cases from real-world logs.

Applied Intuition hosted a delegation from the Office of the Under Secretary of Defense for Research and Engineering to discuss commercial best practices for autonomy development and how those best practices could be applied to Department of Defense autonomy programs.

Part 2 of our log management handbook series introduces readers to log exploration with a particular emphasis on surfacing interesting events for review.

Log data is one of the most essential building blocks of autonomous systems development. Our log management handbook discusses the journey of a log file from inception to storage and lays out common practices for autonomy programs across industries.

At this year’s Automotive LIDAR conference, our team gave a presentation on how autonomy programs can leverage synthetic lidar data in addition to real training data to improve perception model performance while lowering costs and speeding up time to market.

At this year’s ADAS and Autonomous Vehicle Technology Expo in San Jose, California, our team gave a presentation covering best practices for building safe autonomous systems.

Learn why autonomy programs under development by the Department of Defense (DOD) and its international partners must prioritize enterprise data management tools to accelerate program timelines and deliver effective autonomous systems.

Applied Intuition hosted Rep. Rob Wittman to discuss the state of defense and commercial autonomy, how start-ups and non-traditional tech companies drive defense innovation, and to see autonomous systems in action.

Stanford Intelligent Systems Laboratory has been using Applied’s simulation products for their new publication about autonomous vehicle merge planning on freeways. Learn how the research lab tested and validated strategies for merging in the presence of cooperative or non-cooperative human driving behavior.

Part 2 of our series on testing and evaluation (T&E) for autonomous military vehicles outlines the Department of Defense’s approach to military vehicle T&E, additional considerations for autonomous military vehicles, and how virtual modeling and simulation tools can more effectively prove out the performance of autonomy stacks for defense applications.

Evaluating the performance of commercial autonomous and semi-autonomous vehicle systems is a difficult task. Test and evaluation (T&E) of the safety and performance of autonomous military vehicles brings additional challenges, requiring more than just real-world testing.

Synthetic Datasets empower users to improve the robustness of their machine learning (ML) models with camera, lidar, radar, and other sensor data.

Applied Intuition has partnered with Ouster to develop, validate, and release synthetic models of Ouster lidars. Applied’s sensor simulation software enables Ouster’s customers to accelerate the deployment of new Ouster lidars.

Part 3 of our verification and validation (V&V) handbook series discusses how autonomy programs typically measure coverage and analyze their system’s performance depending on their development stage.

The driveblocks team has developed full-stack autonomous driving algorithms at the Technical University of Munich, Germany. Learn how a new startup with a deep international research background uses Applied’s solutions to master the challenges of commercial AV development.

Part 2 of our verification and validation (V&V) handbook series explains how autonomy programs typically approach scenario creation and test execution depending on their development stage and how they can address common challenges.

Safely developing and deploying autonomous systems is a challenging task. Applied Intuition’s V&V handbook aims to provide autonomy programs with an active resource to safely develop, test, and deploy autonomous systems for commercialization.

Applied Intuition presented at the IEEE Intelligent Vehicles Symposium this year. Our team led a discussion around map validation and road model creation methods used by real-world autonomy programs.

Applied Intuition hosted four in-depth sessions with key stakeholders at Tech.AD Europe. Our team led discussions around verifying and validating autonomous systems.

Applied Intuition and Caterpillar, the world’s leading manufacturer of construction and mining equipment, are collaborating to accelerate the testing of autonomous systems.

Applied Intuition participated in a NIST workshop alongside experts from government, academia, and industry. The panel discussed AI for on-road AVs and how to build trust in AV technology.

Applied Intuition has partnered with Nissan on the development of an automated collision avoidance system aimed to reduce accidents and improve safety.

Together, we’re committed to providing category-leading ADAS and AV development tools.

Learn how designers at Applied balance the inherent complexity of the AV development process with simple UX solutions that span both 2D and 3D spaces.

Applied’s continuous integration and verification & validation tools, Orbis and Basis, integrate with CARLA simulator to help AV teams scale and validate their development.

Applied Intuition and Supernal are collaborating to enable testing, certification, and deployment of safe and reliable autonomous advanced air mobility (AAM) vehicles.

Applied Intuition is proud to announce that it was selected to participate in a multi-award, $249M ceiling Blanket Purchase Agreement (BPA) from the Department of Defense.

Suspension models are crucial for off-road simulation because off-road vehicles often need to handle uneven terrain. Simulations that don’t account for a vehicle’s suspension might lead to results that aren’t fully representative of the real world.

The leader in autonomous mobile robots (AMRs) leverages Applied’s simulation tools to develop next-generation material handling automation solutions.

Researchers and development teams can query the nuScenes dataset for specific scenes, events, and anomalies to create curated training datasets or verify and validate on-road issues.

Applied Intuition’s perception team has conducted a case study that uses Spectral synthetic data to improve a perception algorithm’s object detection performance on underrepresented classes in a real-world dataset.

Applied Intuition, Inc. announces the strategic National Security and Defense Advisory Board composed of recognized former national security and U.S. Department of Defense leaders.

Applied raises $175M co-led by Elad Gil, Addition (Lee Fixel), and Coatue Management (Thomas Laffont) with significant participation from existing investors, and announces the formation of an automotive advisory board.

The multi-year, strategic collaboration will help Daimler-Torc’s autonomous vehicles to prepare for unpredictable, potentially dangerous events in the real-world.

Autonomous vehicle (AV) engineering organizations face the dilemma of building versus buying when it comes to developer tools. This blog post will lay out some of the options that autonomy teams consider when choosing the right tools for their testing and development process.

Today, we’re pleased to announce that Applied Inuition’s simulation tool Simian has been ISO 26262 certified by TÜV Nord. Manufacturers of advanced driver-assistance systems (ADAS) and autonomous vehicle (AV) systems can rely on Simian as a core part of their validation workflow.

This blog post discusses how open-loop log replay and re-simulation evaluate the performance of perception and localization systems and motion planning and control systems, respectively, to comprehensively verify and validate a full AV stack against disengagements.

Abstract, logical, and concrete scenarios play an essential role in testing, validating, and certifying the safety of automated driving systems. OpenSCENARIO V2.0 will make it easier to create and transfer abstract scenarios between tools.

Every year, we evolve Applied’s brand language to reflect the evolution of our company. The focus of this year was driven by our progression to be a ‘software tools provider for all vehicles’ and our decision to bring products out of stealth.

The log re-simulation tool Logstream enables AV and ADAS engineering teams to analyze disengagement events, evaluate stack performance, and bring safe autonomous systems to market faster.

It has been historically difficult to verify requirements using public road drive data. Applied Intuition’s “scenario search” automates the error-prone and time-consuming work involved in existing approaches.

The V&V platform Basis and the drive data exploration tool Strada allow AV and ADAS engineering teams to prepare for long-tail events and deploy safe automated driving systems to the public.

An efficient approach to find failing cases in exponentially large parameter spaces is required. Learn about an ML-based approach to complement your existing validation workflows.

Applied's application software engineers (ASEs) play a critical role throughout the customer’s AV development journey. Here's a look at how they support AV development teams using their domain expertise.

There are increasingly more commercial applications for autonomous multi-robot systems. We discuss examples of use cases and testing considerations to ensure the safety and advancement of the system algorithms.

The Applied team is building Vulkan rendering capabilities. Learn how ray tracing can improve the fidelity and performance of sensor data for perception system development.

The Applied team evaluates the common perception simulation approaches against five key requirements. Simulated lidar can be almost indistinguishable from real data through detailed sensor validation.

This is the first post of the series to share behind-the-scene engineering work at Applied. We'll share our journey of building out a mission-critical component of our software, visualizer.

There are multiple forms of perception simulations. Which approach is the most suitable for training and validation for production deployment?

Applied is a supporter of open standards for simulation tests and is an active participant in the ASAM projects. Here’s a look at how Applied works with the standards and addresses their limitations today.

While it is tempting to use formal methods ‘for everything’, it is more effective to use the right mix of methods at the required level of verification and validation for developing and deploying L3+ autonomous systems.

The Applied team discusses approaches taken by traditional and ML-driven companies to manage increasingly more complex requirements throughout the AV development lifecycle.

With large volumes of data generated in AV development from drives and simulations, making effective use of data can be challenging. The Applied team discusses how to effectively use data to track progress on known requirements and uncover gaps in coverage.

We’ve raised a Series C financing round to expand our product portfolio, strengthen our global footprint, and continue to support new and existing customers.

Annotating and curating datasets from the real-world driving data is a common approach for training AV algorithms, yet it is expensive, biased, prone to errors, and limited in scale. Learn how to use synthetic data to overcome these challenges.

Applied’s updated brand and website features over 20 completely custom animations. Learn about our process of visualizing the complex and abstract concepts of AV software development.

No company is too early to implement simulation and automated CI testing regardless of their stage of autonomous vehicle development. The Applied team discusses best practices for setting up tests to speed up the deployment of autonomous algorithms.

Sensor simulation for autonomous driving systems is an exceedingly difficult task, requiring high-fidelity simulations that could be processed in real-time. There are techniques that could be used to accurately test your perception system.

With the limitations of requirements and scenario coverage approaches, domain coverage measured on ODDs may be a practical approach to evaluate progress in the autonomy roadmap.

We discuss how simulation fits into frameworks for building safety critical systems, recent standardization efforts around this technology, and the requirements for simulation tools to support this use case.

Toyota Research Institute - Advanced Development uses Applied’s synthetic data creation capabilities to develop realistic environments for the Lexus LF30 virtual reality experience at the Tokyo Motor Show.

Our recruiting video has been a hit. Peek into how we created an authentic video in collaboration with Slow Clap.

Fresh round of funding is raised to support our growing business and international expansion.

There might be a particular sequence of events that must occur to enable mass commercial deployment of self-driving cars.

Our Design Lead shares his thorough approach to our company rebrand.

We’re updating our company branding to reflect our new vision and product offerings.

We join a coalition to enhance public and policymakers’ understanding of how autonomous vehicles should be safely tested and deployed.