Official Blog
What’s on our mind

Announcing the National Security & Defense Advisory Board

December 1, 2021
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.
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Announcing Our $175M Series D Funding Co-Led by Elad Gil, Addition, and Coatue Management

November 11, 2021
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.
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Torc Robotics Collaborates with Applied Intuition to Accelerate Development and Validation of Autonomous Trucks

November 9, 2021
The multi-year, strategic collaboration will help Daimler-Torc's autonomous vehicles to prepare for unpredictable, potentially dangerous events in the real-world.
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Build Vs. Buy: Strategic Decisions in Procuring Tools for ADAS and AV Development

November 8, 2021
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.
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Applied Intuition’s Simulator Is ISO 26262 Certified!

November 3, 2021
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.
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Using Re-Simulation to Verify an AV Stack Against Disengagements

October 18, 2021
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.
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A Primer on ASAM OpenSCENARIO V2.0 and Its Importance for ADAS and AV Development

September 27, 2021
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.
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Glass and Color: Designing the Fourth Iteration of Applied’s Brand Language

September 22, 2021
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.
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Announcing Applied’s Re-Simulation Tool Logstream

September 21, 2021
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.
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How AV and ADAS Systems Engineers Can Use Public Road Drive Data to Verify Requirements Automatically

September 13, 2021
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.
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Introducing Basis and Strada: Tools for V&V and Drive Data Exploration

September 9, 2021
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.
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A Computationally Efficient, Machine Learning-Based Approach to Identify Failure Cases for AV Validation

July 1, 2021
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.
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Impacting Worldwide Autonomy Programs at the Cross-Function of Business and Engineering

May 12, 2021
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.
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Approaches to Simulating Autonomous System Coordination and Task Allocation in Multi-Robot Systems

May 10, 2021
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.
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Achieving Higher Fidelity Sensor Models with Ray Tracing and Vulkan API

April 5, 2021
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.
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From Research to Production: Strategies for Perception Simulation (Part 2 of 2)

March 29, 2021
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.
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Inside the Process: Building 3D Environment Visualization for Applied’s Core Simulator

March 29, 2021
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.
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From Research to Production: Strategies for Perception Simulation (Part 1 of 2)

March 25, 2021
There are multiple forms of perception simulations. Which approach is the most suitable for training and validation for production deployment?
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Open Standards and Their Critical Role in AV/ADAS Development

March 11, 2021
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.
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Overcoming Rigorous Verification Challenges in Autonomous Systems Development

February 1, 2021
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.
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Approaches to Requirements Management and Traceability in ADAS & Autonomous Vehicle Development

December 17, 2020
The Applied team discusses approaches taken by traditional and ML-driven companies to manage increasingly more complex requirements throughout the AV development lifecycle.
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Quantifying Known and Unknown Metrics in ADAS and AV Development

November 4, 2020
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.
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Announcing $125M Series C From Existing Investors Lux Capital, Andreessen Horowitz, and General Catalyst

October 22, 2020
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.
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Improving Perception Algorithms and Reducing Cost Per Bounding Box Through Synthetic Data

September 12, 2020
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.
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From a Block of Clay to a City: Designing the Second Iteration of Applied’s Brand Language

September 10, 2020
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.
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Progression, Regression, and Modular Testing for Level 2 to Level 4 Autonomous Vehicle Systems

August 17, 2020
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.
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From Procedural Generation to Determinism: Approaches to Simulating Synthetic Perception Data for Autonomous Driving

July 6, 2020
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.
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Using Domain Coverage to Measure an Automated Driving System’s Performance in a Given ODD

June 4, 2020
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.
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ISO 26262, SOTIF, and Simulation in Autonomy Systems

May 11, 2020
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.
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Procedural Generation With Applied Intuition and Toyota

November 8, 2019
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.
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Behind the Scenes: Life at Applied Intuition

October 10, 2019
Our recruiting video has been a hit. Peek into how we created an authentic video in collaboration with Slow Clap.
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Announcing a $40M Series B Funding Led by General Catalyst

September 12, 2019
Fresh round of funding is raised to support our growing business and international expansion.
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Frameworks for Estimating Large-Scale Autonomous Vehicle Deployments

August 10, 2019
There might be a particular sequence of events that must occur to enable mass commercial deployment of self-driving cars.
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Inside the Process: Creating a New Brand for Applied Intuition

April 2, 2019
Our Design Lead shares his thorough approach to our company rebrand.
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Introducing a New Brand for Applied Intuition

April 2, 2019
We’re updating our company branding to reflect our new vision and product offerings.
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Applied Intuition Joins PAVE

March 26, 2019
We join a coalition to enhance public and policymakers’ understanding of how autonomous vehicles should be safely tested and deployed.
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