Joint solution enables end-to-end data curation, audit, reconstruction, and scenario variation for AI-powered autonomy

TEL AVIV, ISRAEL and ANN ARBOR, MICHIGAN – December 9, 2025 – Foretellix, the leading Physical AI toolchain provider for safe autonomous vehicles, and Voxel51, the most powerful visual AI data platform, today announced a joint solution that transforms real-world drive logs into high-fidelity 3D scenes and neural reconstructions for training, testing, and validating autonomous vehicle (AV) systems.

As AV developers increasingly adopt AI-driven, end-to-end architectures (AI AV stacks), data quantity and diversity have become a central bottleneck. Real-world driving data is costly and rarely captures the unique or complex events needed to train and validate modern AV stacks at scale. By using neural reconstruction and synthetic sensor data generation to recreate the real-world drives and introduce controlled variations of the drives in simulation, the Foretellix Physical AI toolchain is able to fill the gaps in the real-world driving data. Companies are also realizing that flawed reconstructions or synthetic data generation from poor-quality input data result in weeks of wasted engineering time and millions of compute dollars. Voxel51’s Physical AI Workbench ensures that every simulation starts with accurate, high-quality data by transforming multimodal sensor data into high-fidelity simulation-ready datasets. Together, Foretellix and Voxel51 enable teams to build richer, more diverse driving datasets that are grounded in real-world conditions to scale AV development, training, testing, and validation.

Foretellix and Voxel51 Integration Workflow

Foretellix’s open ecosystem allows for the Foretify Physical AI toolchain to integrate external technologies such as Voxel51’s FiftyOne Physical AI Workbench, which creates a production-grade end-to-end workflow for AV stack testing and validation:

The pipeline begins with Foretellix’s Foretify toolchain ingesting real-world drive logs to evaluate and identify gaps in operational design domain (ODD) coverage.
Using scenario-driven data curation, Foretellix identifies the most relevant snippets from large drive-log datasets to fill these coverage gaps.
Then, the real-world drive logs flow through Voxel51’s data curation and audit checks to automatically detect pose calibrations, sensor misalignments, coordinate conventions, and poor-quality labels – critical checks for high-quality 3D reconstructions and simulations.
Voxel51 further enriches the curated data by adding valuable structure and context through embeddings, scene understanding, and visual inspection, preparing it for 3D reconstruction with NVIDIA Omniverse NuRec 3D Gaussian s platting (3DGS)-based reconstruction technology.
Foretellix then generates controlled scenario variations on top of these reconstructions and produces synthetic sensor data that can be used for training, testing, and validation purposes – including closed-loop sensor-level simulation.
These datasets are then analyzed within FiftyOne’s inspection and visualization environment for both reconstructed and synthetic datasets before downstream model evaluation.
To complete the cycle, Foretellix’s Foretify toolchain analyzes the new and updated drive log dataset to evaluate the ODD coverage and to ensure that the new scenario variations have successfully resolved the originally identified gaps.

“Safety is the foundation that Physical AI depends on. As AV stacks shift toward end-to-end AI, developers need platforms that can generate and manage vast, diverse data at scale. Foretify delivers that foundation with the depth, power, and automation required for the next era of AI powered autonomous systems. Through our work with Voxel51, we unite real-world grounding with controllable scenario variation in a single workflow that empowers teams to build stronger, smarter, and safer AI-based AV systems.” said Ziv Binyamini, CEO and Co-Founder of Foretellix.

“We’re excited to work with Foretellix to bring high-fidelity reconstructions and synthetic data generation to AV developers,” said Brian Moore, Co-Founder and CEO of Voxel51. “As the volume of Physical AI data continues to explode, data quality has become mission-critical to building reliable systems. Poor quality or incomplete data drains resources and poses serious reliability risks in safety-critical AV applications. Together, we’re helping teams build AI-powered autonomy systems with greater realism, efficiency, and confidence.”

About Voxel51

Voxel51 is the leading computer vision and visual AI data platform that enables the development of safe and reliable visual AI systems. The company’s flagship product, FiftyOne, combines open source flexibility with enterprise-grade capabilities to enable organizations to visualize, curate, annotate, and understand their visual data and models. Trusted by millions of developers and thousands of enterprises—including LG Electronics, Microsoft, Berkshire Grey, and Precision Planting—FiftyOne empowers organizations to maximize AI performance with better data. Learn more at voxel51.com. See us live at TechAD (Dec 8-9, 2025), Booth #21, and at CES 2026 West Hall – Booth #4767.

About Foretellix

Foretellix is the leading enabler of safe autonomous vehicles. Its Physical AI toolchain accelerates the training, validation and safety evaluation of autonomous vehicles, making AI safe for the physical world. Foretellix empowers OEMs and AV developers to build next-generation AV technology with measurable safety, efficiency, and scale. With offices in the US, Europe, and Asia, Foretellix is driving the shift to intelligent, AI-powered autonomy. For more information, visit foretellix.com or see a live demo at CES 2026 West Hall – Booth #4767.

Joint hybrid solution enables high-scale, high-fidelity AV testing with both rule-based and AI behavior models

TEL AVIV, ISRAEL and VANCOUVER, CANADA – November 13, 2025 – Foretellix, the leading provider of data-automation for AI-powered autonomy, has partnered with Inverted AI, a pioneer in predictive human behavior modeling, to launch a hybrid simulation solution that combines controllable and efficient scenario generation with learned driving behavior models to generate scenarios that are reactive, realistic, and diverse. The result is a powerful tool for autonomous vehicle (AV) developers to rigorously train, test, and validate their AV stacks in simulation, across both everyday traffic conditions and rare, high-risk events, at scale.

As AV development accelerates, teams must validate system performance across both real-world and rare edge-case scenarios. While real-world data provides valuable insights, it’s often insufficient or too dangerous for testing critical events, such as a child running into traffic.

This joint solution addresses that need by combining Foretellix’s intelligent scenario generation and test automation with Inverted AI’s naturalistic AI behavior models. Developers can define what they want to test, such as a vehicle cut-in or pedestrian crossing, and Foretellix generates the precise conditions needed for the scenario. Inverted AI’s models then control surrounding road users, non-playable characters (NPCs), based on driving behavior learned from large-scale real-world driving data, enabling high-fidelity simulation of realistic human-like traffic interactions. This integration is enabled through Foretellix’s Behavioral Models API, which provides a standardized interface for coupling scenario logic with varied behavioral models, enabling flexibility and rapid adaptation to different simulation needs.

The result is a simulation environment with the most realistic behavioral distribution possible and where edge cases can be safely tested in context. This accelerates development, improves AI model robustness, and supports safer deployment of AV systems.

Foretellix’s Foretify™ platform delivers the data-automation backbone for this solution. It defines scenario intent, generates test conditions, and automates large-scale simulation runs. Foretify also provides detailed analytics on safety, coverage, and model behavior, helping teams focus on the scenarios that matter most.

Inverted AI’s DRIVE API provides learned behavior models trained on real-world driving data to control surrounding vehicles, pedestrians, and cyclists. These models produce reactive, realistic, and diverse human-like behaviors that enhance realism and better prepares AV systems for real-world traffic dynamics.

“The integration between Inverted AI’s DRIVE API and Foretify™ will generate hyper-realistic training, testing and validation scenarios, driving down development times and improving system performance,” said Ziv Binyamini, CEO and Co-Founder of Foretellix. “Our joint solution provides our customers with the end-to-end simulations required to ensure safe AV deployment.”

“Inverted AI’s predictive human behavioral models are designed to bring the most realistic behavior to simulation based on massive quantities of video data,” said Frank Wood, CEO of Inverted AI. “Integrating with Foretellix’s platform enables the scale and precision needed to validate AV systems safely and efficiently.”

The joint solution is available now for select partners, with broader rollout expected later this year.

About Inverted AI

Inverted AI builds predictive human behavior models for simulation and planning, using real-world data to train reactive, directable stochastic policies critical for achieving fully autonomous vehicles. These models enhance AV development by increasing fidelity and diversity. Visit www.inverted.ai to learn more.

About Foretellix

For more information, visit www.foretellix.com or see a live demo at CES 2026 (West Hall – Booth 4767).

Foretellix to Integrate Safety and Validation Toolchain with NVIDIA DRIVE AV End-to-End Platform

Sunnyvale, CA and Tel Aviv, Israel – October 28, 2025 – Foretellix today announced the integration of its Foretify Physical AI toolchain with the NVIDIA DRIVE AV platform to enable advanced methods for training, testing, validation, and safety evaluation in autonomous driving development. The integration connects Foretellix’s coverage-driven verification and validation capabilities and Synthetic Data Generation (SDG) technology with NVIDIA’s end-to-end AV software stack, supporting the industry’s progress toward safe L2++, L3, and L4 autonomy.

This milestone expands a relationship that began with NVIDIA’s investment in Foretellix’s Series C funding, continuing through deep integration of NVIDIA technologies such as NVIDIA Omniverse and NVIDIA Cosmos into the Foretify Physical AI toolchain.

Foretellix delivers the industry’s leading Physical AI toolchain for the development of safe autonomous vehicles. Its solution provides comprehensive safety evaluation, coverage-driven verification, and synthetic data generation for training, testing, validation of the AV stack. The Foretellix toolchain validates AI-powered AV stacks against an expansive range of highly realistic driving scenarios and critical edge cases.

AV developers use Foretellix’s development toolchain to evaluate autonomous driving scenarios, identifying gaps in performance and safety during development, and generate the scenarios required to efficiently close the gaps. By enabling this rigorous evaluation loop, Foretellix helps ensure that AI for autonomous vehicles is safe for real-world deployment.

“Safety will define the future of Physical AI. We are excited to collaborate with NVIDIA on this mission to make the DRIVE AV end-to-end stack safe by jointly working on the training, validation, evaluation, and coverage essential for large-scale, real-world deployment,” said Ziv Binyamini, CEO and Co-Founder at Foretellix.

“Our collaboration with Foretellix integrates complementary technologies to strengthen the safety foundation of the autonomous vehicle industry,” said Xinzhou Wu, Vice President, Head of Automotive at NVIDIA. “By combining the NVIDIA DRIVE AV end-to-end stack with Foretellix’s Physical AI toolchain for large-scale, scenario-based validation, we’re helping advance industry-wide standards for transparency, robustness, and safety. Together, we’re enabling NVIDIA developers to design, test, and safely deploy AI-powered vehicles with greater confidence and scale.”

About Foretellix

Foretellix is the leading enabler of safe autonomous vehicles. Its Foretify Physical AI toolchain accelerates the training, validation and safety evaluation of autonomous vehicles, making AI safe for the physical world. Foretellix empowers OEMs and AV developers to build next-generation AV technology with measurable safety, efficiency, and scale. With offices in the US, Europe, and Asia, Foretellix is driving the shift to intelligent, AI-powered autonomy. For more information, visit www.foretellix.com

Joint solution accelerating AI-powered AV development, validation, and testing

TEL AVIV, ISRAEL and SAN FRANCISCO, USA – November 06, 2025 – Foretellix, the leading Physical AI toolchain provider for safe autonomous vehicles, and Parallel Domain, a leader in sensor simulation and neural reconstruction, today announced a strategic partnership to deliver a powerful new simulation solution for autonomous vehicle (AV) development.
The joint offering combines scenario-based testing with photorealistic sensor simulation (camera, radar, lidar) within digital twins generated from drive logs, enabling closed-loop validation from perception through planning, or end-to-end models.

As AV systems become increasingly complex and AI-driven, validation teams face scalability challenges. Weak links between perception data and planning evaluation can lead to missed safety risks and costly delays. Traditional simulation tools rarely offer both controllability and realism, forcing teams to choose between scenario intent and sensor fidelity. The combined solution enables AV developers to validate E2E models (perception, planning, and control subsystems) under diverse road, traffic, and environmental conditions, achieving statistical safety coverage impossible with real-world testing alone.

This integrated solution bridges that gap, enabling developers to test how perception inputs directly affect planning decisions in a deterministic, metrics-driven workflow. By combining measurable scenario coverage with real-fidelity labeled sensor simulation data, teams can validate the entire AV stack with greater speed, confidence, and traceability.

Foretellix offers industry-leading scenario-based validation, including automated scenario generation, large-scale execution, and KPI-driven coverage analysis. Parallel Domain enhances these capabilities with photorealistic reconstructions from drive logs and annotated lidar, radar, and camera data. This joint workflow allows developers to recreate real-world conditions and explore edge cases with full sensor context.

“As AV stacks become increasingly AI-driven, validating the full pipeline from perception to planning requires realism, scale, and control,” said Ziv Binyamini, CEO and Co-Founder of Foretellix. “This partnership underscores Foretellix’s commitment to an open ecosystem where customers can seamlessly connect the latest industry innovations with our solutions, accelerating the path to more powerful and flexible safety validation.”

“Parallel Domain’s mission is to make simulation indistinguishable from the real world,” said Kevin McNamara, CEO and Founder of Parallel Domain. “By integrating with Foretellix’s Physical AI Toolchain, we’re helping AV teams test smarter, faster, and with greater confidence in real-world behavior.”

About Parallel Domain

Parallel Domain is a leader in scene reconstruction and realistic sensor simulation to develop, test, and validate autonomous systems. Its proprietary scene reconstruction from drive log and simulation technologies deliver photorealistic, labeled sensor data on demand, accelerating safe autonomy with realism that scales. Learn more at www.paralleldomain.com or see a live demo at CES 2026 (West Hall – Booth 6673).

About Foretellix

Foretellix is the leading enabler of safe autonomous vehicles. Its Physical AI toolchain accelerates the training, validation and safety evaluation of autonomous vehicles, making AI safe for the physical world. Foretellix empowers OEMs and AV developers to build next-generation AV technology with measurable safety, efficiency, and scale. With offices in the US, Europe, and Asia, Foretellix is driving the shift to intelligent, AI-powered autonomy. For more information, visit www.foretellix.com or see a live demo at CES 2026 (West Hall – Booth 4767).

Annual AutoTech Breakthrough Awards Program Recognizes Foretellix’s Innovations in Enabling Safe Autonomous Vehicles

SUNNYVALE, CA and TEL AVIV, Israel – October 16, 2025 – Foretellix, the leading enabler of safe autonomous vehicles, won the “Autonomous Vehicle Innovation of the Year Award” for its Foretify Physical AI toolchain in the sixth annual AutoTech Breakthrough Awards program. Foretify accelerates the training, validation and safety evaluation of autonomous vehicles, making AI safe for the physical world. The awards, conducted by AutoTech Breakthrough, recognize the top companies, technologies, and products transforming the global automotive and transportation technology markets.

The AutoTech Breakthrough Awards celebrate excellence across the rapidly evolving automotive technology landscape, spotlighting companies driving progress in areas such as autonomous driving, electrification, connected vehicles, and AI integration. Foretellix joins a group of leading industry innovators including BMW, Polestar, Zoox, and Helm.AI, whose solutions are redefining how the world moves safely and intelligently.

Foretify is Foretellix’s Physical AI toolchain that bridges real-world driving data and intelligent simulation to accelerate the safe development of autonomous vehicles. It transforms unstructured data into actionable insights, automatically identifying and prioritizing meaningful and safety-critical scenarios. Developers can then close identified gaps through intelligent scenario generation and targeted simulation, combining real and synthetic data for a measurable, efficient, and scalable validation process.

By focusing on high-value, safety-relevant Physical AI AV data and automating key validation steps, Foretellix helps developers optimize resources while achieving faster and more consistent results. This systematic, scenario-based approach is enabling OEMs and AV developers to shorten development cycles, improve safety outcomes, and accelerate their journey toward large-scale deployment of autonomous systems.

“This recognition further validates Foretellix’s award-winning Foretify Physical AI toolchain and its impact on the future of safe AI-powered autonomy,” said Roger Ordman, Vice President of Marketing at Foretellix. “Foretellix is continuing its mission to make Physical AI-driven autonomous vehicles safe for deployment in the real world, and this latest recognition reinforces our commitment to advancing the safety and reliability of intelligent mobility.”

“Foretify empowers developers to move from massive, unstructured datasets to targeted, high-value scenarios,” said Bryan Vaughn, Managing Director of AutoTech Breakthrough. “By unifying real-world and synthetic data and automating validation workflows, Foretellix is accelerating measurable progress toward safer and more reliable AI-powered autonomy. We’re pleased to honor Foretellix for its leadership and innovation in this critical area.”

About Foretellix

Data-driven verification and validation pioneers pave the safest and quickest route to driverless mobility with generation of high-fidelity sensor data that leverages NVIDIA Omniverse and Cosmos

San Francisco, CA and Tel Aviv, Israel, May 21, 2025, Foretellix, the leading provider of data-automation for AI-powered autonomy, today announces a significant expansion of its Foretify platform, enabling Autonomous Vehicle (AV) developers to slash development time in half and save hundreds of millions of dollars.

The emergence of the physical AI frontier presents AV developers with opportunities to accelerate the step up to fully autonomous vehicles. However, three key challenges must be overcome in order to benefit from the speed of development that AI affords:

AV developers need a way to train the AI engines by maximizing the value of their existing drive data and enhancing it with hyper-realistic synthetic data.
AV developers face serious challenges in preparing for the unpredictability of AI-powered technology. The need to validate that the AV stack is safe in any realistic scenario is paramount for autonomy to deploy at scale.
The mobility industry, including fleet operators, AV developers and insurance companies, needs an independent data-drive evaluation framework to measure the safety of these autonomous systems before they are deployed on public roads.

Foretellix developed its Foretify data automation toolchain to train AI-powered AV stacks by automatically curating training data from the real-world driven miles and augmenting it with generated synthetic scenarios. The toolchain also provides diverse sensor simulation data enhanced with hyper-realistic variations generated using NVIDIA Omniverse and Cosmos. The AI-powered AV stack is validated by generating massive amounts of realistic synthetic data, increasing the efficiency of reaching an optimal level of operational safety within a specific Operational Design Domain (ODD) by tenfold. Furthermore, Foretify uses a data-driven safety evaluation framework to evaluate the performance of the real-world and simulation drive data and measure the coverage to provide independent evidence for the system safety case.

Backed by leading investors including Toyota’s Woven Capital, Temasek, Volvo and NVIDIA, Foretellix was founded by pioneers of data-driven verification and validation tools for complex systems. The founding team’s seminal work across coverage-driven methodologies, verification, and validation at Verisity, Intel, and Cadence Design Systems is now widely used in the semiconductor industry and formed the basis of Foretify. Foretellix customers include Daimler Truck subsidiary Torc, Volvo, Mazda, Woven by Toyota, and Nuro.

“We use Foretellix as part of our validation stack combining large-scale scenario generation of both Urban and Highway ODD with analysis of real-world logs” said Tilo Schwarz, Vice President of Engineering, Nuro Driver™.

“Foretellix is a valued partner in our mission to commercialize autonomous trucks by 2027” said Torc CEO Peter Vaughan Schmidt. “Their Data-Automation Toolchain enables the large-scale simulation and rigorous scenario testing essential to validating our physical AI level-4 autonomous system and ensuring that safety remains at the core of everything we do.”

“Physical AI creates a fast lane to autonomy that will ultimately improve our quality of life and help save millions of lives, but making it a reality requires an intelligent, data-driven approach to address AI’s inherent limitations,” says Ziv Binyamini, CEO and Co-Founder of Foretellix. “Training, validating and providing evidence of autonomous systems’ safety are the key drivers for this industry to progress. Foretellix’s solution helps foster innovation and reduce the barriers to entry for AV developers, vehicle manufacturers and entrepreneurs, democratizing the road to driverless autonomy.”

Foretify recently expanded its simulation capabilities through its integration with the NVIDIA Omniverse Blueprint for Autonomous Vehicle (AV) Simulation and the NVIDIA Cosmos Transfer World Foundation Model. The addition of hyper-realistic sensor simulation to Foretify’s behavioral scenario simulation accelerates AI-powered AV training and validation for faster development and deployment.

“By leveraging NVIDIA Omniverse and NVIDIA Cosmos, the Foretify toolchain can evaluate and generate high-fidelity testing scenarios and training data at scale,” said Zvi Greenstein, General Manager, Autonomous Vehicles Infrastructure at NVIDIA. “Foretellix’s data-automation toolchain delivers the training, validation and safety evaluation data required to safely deploy AI-powered autonomy”

The integration of Foretellix’s Foretify behavior simulation technology with NVIDIA’s sensor simulation technology has been recognized with the Simulation Innovation of the Year award at the 2025 Automotive Testing Technology International Awards.

“The complexity of the traffic environment and its edge cases requires efficient ways of generating reliable test scenarios. The ability to provide varied and high-quality synthetic data is key to unlocking this problem.” Dr Huw Davies, senior lecturer, Centre for Future Transport and Cities, Coventry University

About Foretellix

Foretellix is the leading provider of data-automation for AI-powered autonomy. Foretellix delivers the trusted development toolchain for training and validating AI-powered autonomous vehicle stacks that enables OEMs and AV developers to build next-generation AV technology with measurable efficiency, safety, and scale. Foretellix’s industry-leading training and validation capabilities are enabling and accelerating the shift to intelligent AI-powered autonomy. Foretellix has offices in the US, Europe, and Asia.

For more information, visit www.foretellix.com

Authors: Katie Washabaugh, Product Marketing Manager of AV Simulation at NVIDIA and Ohad Schwarzberg VP Product and AI at Foretellix

Foretellix is expanding its integration with the NVIDIA Omniverse Blueprint for Autonomous Vehicle (AV) Simulation to include NVIDIA Cosmos Transfer World Foundation Model and Video Data Search. These newly announced capabilities enhance Foretellix Foretify’s behavioral scenario generation with greater diversity in weather, lighting, and geolocation. Additionally, Foretify’s advanced behavioral search is enhanced leveraging Cosmos’s sensor domain search capabilities. These enhancements accelerate AI-powered AV training and validation for faster development and deployment. Foretellix, one of the first AV toolchain providers to integrate NVIDIA Omniverse, is now adopting Cosmos Transfer for enhanced AV simulation.

There is a change happening in the AV industry. It’s in a state of transition. Moving from rule-based architectures to hybrid AI-powered AV stacks that blend AI’s capabilities with rule-based safety measures. This is being driven by advances in deep learning and computational power, along with the cost and time demands of traditional software-based AV development.

End-to-end models integrate AV functions using deep neural networks, mapping sensor inputs (e.g., cameras, lidar, radar) directly to driving actions. This approach improves adaptability, reduces latency, and enhances generalization to novel scenarios by leveraging large-scale driving data.

While real-world data collection provides a foundation for AV development, it is extremely difficult to cover the full variation of physical aspects of every scenario (weather, lighting, speed, distance, etc.), rare edge cases, and the scenarios in the full operational design domain (ODD). However, this type of data is essential for accelerating safe AV deployment and can be generated with cost-effective data automation of massive amounts of varied and realistic data.

Foretify + Cosmos Transfer

By leveraging NVIDIA Cosmos Transfer as part of Foretellix’s integration of the NVIDIA Omniverse Blueprint for AV Simulation, Foretellix’s data-automation development toolchain is delivering even greater scalability and diversity in data for effective AV training and validation for AI-powered stacks. This integrated solution provides users with powerful capabilities, including:

Foretify’s behavior layer for scenario evaluation and generation
NVIDIA’s Omniverse and Cosmos Transfer for high-fidelity sensor simulation

NVIDIA Cosmos Transfer is part of the Cosmos platform of state-of-the-art generative world foundation models (WFM), advanced tokenizers, guardrails, and an accelerated data processing and curation pipeline built to accelerate the development of physical AI systems such as autonomous vehicles and robots. Cosmos Transfer connects to Omniverse to generate new data within physically based virtual environments, turning any driving scenario generated by Foretellix Foretify into hundreds of realistic variations.

Foretellix Foretify is a data automation toolchain that accelerates the development of AV systems by combining real-world driving data with advanced virtual simulations and using it for both training and validation. Foretellix’s “Evaluate >> Generate” approach to AV development can be broken down into four stages:

Foretify unifies, curates, and cleanses existing real-world drive log and sim data
Foretify evaluates the data to validate the performance and quality in specific drive logs according to defined KPIs
Foretify generates variations of real-world scenarios and uses the physics-based rendering capabilities of Omniverse and Cosmos Transfer to create hyper-realistic sensor simulation data to train the AI-powered AV stack
Foretify evaluates the complete drive data to measure ODD coverage, use as data driven evidence for safety reports, identify gaps, and generate abstract scenarios to close the gaps for system validation

The NVIDIA Omniverse Blueprint for AV Simulation is a reference workflow to create rich 3D worlds for training, testing, and validation. The blueprint contains APIs and services, such as Sensor RTX APIs for sensor simulation, to build and enhance digital twins from real-world sensor data, model physics and behavior of dynamic objects in a scene and generate physically accurate and diverse sensor data.

With this API-based architecture, the blueprint seamlessly integrates into existing workflows and tools like Foretify. This enables developers to replay driving data, generate new ground truth data, and perform closed-loop testing.

With Cosmos Transfer, Foretify can amplify the diversity of sensor data rendered by Sensor RTX, varying the visual appearance of the scene, from weather to graffiti to dirty lenses—even to new ODDs. Cosmos Transfer Video Data Search includes a robust capability for presentation level video search and high-fidelity rendering. Foretify’s native behavioral search capability at the logic level enhances scenario evaluation and generation, seamlessly complemented by Cosmos Transfer. The result is seamless scalability in data for training and validation, easing costly bottlenecks in the AV development pipeline.

Looking Ahead

As AVs become increasingly autonomous and rely more on AI to power the AV stack, the need for a controllable, predictable and repeatable data-automation toolchain to validate and train the AV stack will only grow. Foretellix’s integration of Cosmos Transfer via the NVIDIA Omniverse Blueprint for AV Simulation represents a major step forward in empowering developers to create the meaningful and realistic data required to rapidly develop, train and validate robust and safe AI-powered AV solutions at scale. By bridging advanced scenario-based training with high-fidelity simulation, this partnership is helping pave the way for the future of autonomous mobility.

See Innovation in Action

Are you ready to see the Foretellix Foretify development toolchain with high-fidelity sensor simulation in action? Visit Foretellix at NVIDIA GTC in San Jose at booth 1543 from March 18-21 or visit the Foretellix website to discover how this groundbreaking integration can supercharge your autonomous vehicle development process and help you launch with confidence.

Tokyo, Japan, and Sunnyvale, CA — February 6, 2025 – Strategic technological integration between Foretellix, the leading provider of data-driven autonomy development toolchains, and MathWorks, the leading developer of mathematical computing software, helps Mazda’s next generation of AD/ADAS development. This collaboration accelerates the development and deployment of safer, more robust autonomous systems

The integration of Foretellix’s Foretify™ platform with Simulink® and Automated Driving Toolbox from MathWorks, enables developers to generate, execute, and analyze large-scale scenarios in a virtual environment. The Foretellix and MathWorks technology stack enables Mazda to move real-world driving data into the virtual simulation environment to test and scale scenarios. This powerful combination helps engineering teams identify edge cases, uncover gaps in coverage, and validate performance earlier in the development process—reducing time to market while improving system quality and safety.

Mazda Pioneers the Foretellix and MathWorks Integration

Mazda is utilizing the Foretellix and MathWorks integrated solution to test and validate its AD/ADAS systems in a virtual environment, allowing engineers to convert real-world driving data into actionable simulation scenarios. These scenarios are automatically analyzed for coverage gaps, safety performance, and system robustness.

Yasuhide Yano, Deputy General Manager of the Integrated Control Systems Development Division at Mazda, said, “In the development of next-generation AD/ADAS systems, which are becoming more and more complex, it is very important to identify potential risks and improve system quality from the early stages of development in order to achieve zero accidents. By using Foretify, Simulink, and Automated Driving Toolbox, efficient and exhaustive verification can be performed in a virtual environment to achieve our goals in a short period of time. In addition, the use of coverage maps enables us to conduct verification while also contributing to our sustainability goals with a zero-carbon footprint.”

A Unified Technology Stack for Scalable AD/ADAS Development

The Foretellix platform automatically generates an unlimited number of concrete, relevant, and valid scenarios, which are executed within the MathWorks Automated Driving Toolbox simulation environment. The solution provides developers with tools to measure test coverage, Key Performance Indicators (KPIs), and safety checks. This process significantly accelerates testing timelines and enables customers, like Mazda, to efficiently expand Operational Design Domains (ODDs) through early-stage, virtual validation.

Ziv Binyamini, CEO and Co-Founder of Foretellix, emphasized the importance of this collaboration: “We are excited to partner with MathWorks to provide a unified technology stack that empowers developers at OEMs, Tier-1 suppliers, and AV stack providers to launch AD/ADAS programs with confidence. The integration of Foretellix and MathWorks software will enable Mazda to accelerate the development of safe, autonomous vehicles, improve testing efficiency and reduce development costs.”

MathWorks’ Commitment to Accelerating Innovation

“As ADAS and autonomous driving systems grow in complexity, it is essential for developers to have tools that enable efficient, scalable, and comprehensive testing early in the design process,” said Naga Pemmaraju, Product Manager, Autonomous Systems at MathWorks. “By combining the simulation and algorithm development capabilities of MATLAB and Simulink Automated Driving Toolbox with Foretellix’s advanced scenario generation and validation platform, we empower engineering teams to accelerate innovation, reduce development costs, and improve system safety.”

The technological integration between Foretellix and MathWorks represents a major step forward in achieving safer autonomous driving systems while meeting time-to-market and sustainability goals.

For more information, visit Foretellix.com

About Mazda

Mazda Motor Corporation, headquartered in Hiroshima, Japan, is a global automotive manufacturer known for its distinctive design, innovative technology, and exceptional driving dynamics. With a rich heritage dating back to 1920, Mazda has consistently delivered vehicles that embody the spirit of “Zoom-Zoom,” reflecting a passion for driving and a commitment to craftsmanship. The company’s product lineup includes a range of cars and SUVs, each designed to provide a harmonious blend of performance, efficiency, and safety. Mazda is dedicated to sustainable practices and is actively pursuing initiatives to achieve carbon neutrality by 2050. For more information, visit www.mazda.com.

About Foretellix

Foretellix is the gold standard for data-driven autonomy development toolchains. Foretellix’s Foretify™ toolchain enables a fast, measurable, and trusted path to safe and scalable autonomy that helps you launch with confidence. Building on its industry leading V&V technology, Foretellix is enabling the AI autonomy revolution. Foretellix has offices in the US, Europe, and Asia. For more information, visit www.foretellix.com

About MathWorks

MathWorks is the leading developer of mathematical computing software. MATLAB, the language of engineers and scientists, is a programming environment for algorithm development, data analysis, visualization, and numeric computation. Simulink is a block diagram environment for simulation and Model-Based Design of multidomain and embedded engineering systems. Engineers and scientists worldwide rely on these products to accelerate the pace of discovery, innovation, and development in automotive, aerospace, communications, electronics, industrial automation, and other industries. MATLAB and Simulink are fundamental teaching and research tools in the world’s top universities and learning institutions. Founded in 1984, MathWorks employs more than 6,500 people in 34 offices around the world, with headquarters in Natick, Massachusetts, USA. For additional information, visit mathworks.com

The transition to AI-centric stacks and, specifically, end-to-end stacks in autonomous vehicles (AVs) promises to revolutionize mobility. While large foundation models can tackle the immense complexity of achieving higher levels of autonomy, its “black box” nature can introduce unique challenges. Building such autonomy requires the creation of a massive data flywheel to create diverse datasets for effective training, comprehensive validation, and evaluation of the AV stack’s performance. Achieving widespread coverage and diversity of sensor data is essential to large-scale AV deployment.

Effective training and testing of AI-centric AV stacks require massive amounts of varied and realistic data. These stacks need closed-loop validation as part of their Continuous Integration / Continuous Development (CI/CD) pipelines to identify gaps and regressions in AV stack performance throughout the development lifecycle. Furthermore, developers need hyper-realistic scenarios from the mundane, to the edge cases, and to situations too dangerous to test in the real world, to close these gaps and comprehensively test new versions of the stack.

To address these challenges, Foretellix is leveraging the fidelity and flexibility of the NVIDIA Omniverse platform into the Foretify™ toolchain to deliver a first-of-its-kind solution that transforms how AV developers train, test, validate, and accelerate the development and deployment of their systems.

Solving Industry Challenges with High-Fidelity Sensor Simulation

Physically Accurate Sensor Simulation for Generating Datasets at Scale

The Foretellix Foretify™ toolchain’s scalable scenario generation integrates the NVIDIA Omniverse Blueprint for AV simulation to provide developers with:

Efficient AI Validation:
Support the shift to AI-centric end-to-end stacks by evaluating the performance of the entire system from sensor input to control output to detect gaps, edge cases, and risks.
Realistic Scenarios at Scale:
Generate any number of training and test scenarios under diverse environmental, weather, and traffic conditions along with hazardous scenarios too dangerous for real-world testing.
High-Fidelity Sensor Simulation:
Utilize the NVIDIA Omniverse Sensor RTX APIs to render physically based sensor data for camera, radar, and lidar to create both training and testing datasets, and enable closed-loop testing to accelerate development pipelines.

Solution Overview

Foretify Evaluate:
Foretify Evaluate enables the aggregation and comprehensive analysis of real-world driving logs and virtual/Sim drive data for training and validation, ensuring robust AV system development. Stack developers and V&V engineers can quantify scenario coverage, systematically identify gaps, and address critical edge cases such as urban intersections and adverse weather conditions. Tailored Key Performance Indicators (KPIs) provide actionable insights to ensure AV systems meet safety standards and requirements. The solution automates the evaluation of physical and virtual driving scenarios, integrating seamlessly with Foretify Generate to connect synthetic scenario generation, big data analytics, and sensor simulation workflows for training and testing. Scalable to handle fleet-wide data, this end-to-end solution accelerates iterative improvements, enabling developers to close coverage gaps effectively and ensure large-scale, safe AV deployment.
Scalable Scenario Generation by Foretellix:
Foretellix Foretify’s scenario-based data-driven development toolchain empowers AV developers to create and run any number of synthetic testing scenarios simultaneously. Through Foretify’s Smart Replay capabilities developers can generate variations of the original drive log, including perception parameter variations and maneuver modifications, to improve the validation of new AV software versions and evaluate the completeness of their AV systems while providing the fidelity and scale necessary to train, test, and close critical gaps for large-scale, safe deployment.
High-Fidelity Sensor Simulation by NVIDIA:
The NVIDIA Omniverse Blueprint for AV simulation is a reference workflow that includes the physics, animation, and behaviors to enable physically accurate sensor simulation. It uses NVIDIA Omniverse Sensor RTX APIs to render the camera, radar, and lidar data necessary for AV training, testing, and validation. Foretellix will be one of the first partners to adopt the recently announced NVIDIA Cosmos, a platform of open world foundation models for generating physics-based videos and environments to enhance Foretellix’s unique scenario search technology.

Unique Benefits and Exclusive Features

Comprehensive AI Evaluation Tools:
Ensure consistency and prevent degradation across trained AI systems by evaluating and comparing performance metrics between versions.
Unparalleled Realism:
The integration offers developers an exclusive, market-first capability to test their systems with high-fidelity sensor data.
Shorter Time to Market:
Efficiently identify and address gaps earlier in the development cycle, reducing time and costs.
Confidence in Deployment:
Enable safer and more reliable launches of autonomous vehicles by thoroughly validating systems in a virtual environment.

See Innovation in Action

Are you ready to see the Foretellix Foretify development toolchain with high-fidelity sensor simulation in action? Visit us at NVIDIA GTC in San Jose at booth 1543 on March 18-21 or book a personalized demo today to discover how this groundbreaking integration can supercharge your autonomous vehicle development process and help you launch with confidence.

Geely will use Foretellix’s AI training and validation solution to reduce development costs, enhance safety, and improve time to market.

Shanghai, China, May 7, 2024 — Geely, a major Chinese automotive manufacturer, and Foretellix, a leading provider of safety-driven V&V solutions for Autonomous Vehicles (AV), announced today a strategic partnership to enable safe large-scale deployment of AVs while reducing Geely’s R&D costs and increasing development efficiency.

Foretellix and Geely will collaborate to integrate Foretellix’s Foretify™ platform with Geely’s development and V&V flows and advanced simulator. The Foretify Platform will enable efficient synthetic data generation for AI training, automated scenario-based virtual testing, large-scale failure triage, performance and KPIs assessment, and ODD coverage measurement. The platform will be used to automatically analyze driving logs from Geely’s test vehicles and replay numerous variations in virtual simulation to maximize the utilization of physical drives.

“The Foretellix solution will expedite and enhance Geely’s development and validation process,” said Mr. ChuanHai Li, Vice President of Geely Research and Development. “It will enable us to ensure proper ODD coverage, quickly identify unknown corner cases, and resolve them more efficiently. Our partnership with Forerellix will be crucial in Geely’s quest to overcome safety challenges and commercialize AVs faster.”

“We are excited to partner with Geely,” said Ziv Binyamini, Foretellix CEO and co-founder. “We look forward to working with Geely and helping them accelerate their strategy for safe, efficient, and cost-effective autonomy.”

About Geely

Geely, a pioneering force in the automotive industry, continues to redefine the future of mobility through innovation and dedication to excellence. Established in 1986, Geely has emerged as a global leader in automobile manufacturing, renowned for its cutting-edge technology, forward-thinking design, and commitment to sustainability. With a diverse portfolio encompassing electric, hybrid, and traditional vehicles, Geely remains at the forefront of the automotive revolution, shaping the way we drive and inspiring a new era of transportation solutions.

About Foretellix

Foretellix is the leading provider of safety-driven V&V solutions for Automated Driving Systems and ADAS. Foretellix’s Foretify™️ platform helps automotive, trucking, and mining customers to ensure safety, reduce development costs, and accelerate time-to-market. Foretellix is headquartered in Israel, with US, Europe, and Asia offices. For more information, visit www.foretellix.com