Foretellix’s cover photo
Foretellix

Foretellix

Software Development

Ramat Gan , Israel 21,368 followers

The Leading Enabler of Safe Autonomous Vehicles

About us

Foretellix is the leading enabler of safe autonomous vehicles. Its Foretify Physical AI toolchain uses real-world data curation, V&V, and synthetic data generation (SDG) to accelerate the training, validation and safety evaluation of autonomous vehicles, making AI safe for the physical world. Foretellix's development platform empowers OEMs and AV developers to build advanced AV technology that drives measurable safety, efficiency, and scale. With offices in the US, Europe, and Asia, Foretellix is driving the shift to intelligent, safe, AI-powered autonomy. For more information, visit www.foretellix.com

Website
https://www.foretellix.com
Industry
Software Development
Company size
201-500 employees
Headquarters
Ramat Gan , Israel
Type
Privately Held
Founded
2018
Specialties
Verification of Self Driving Cars, Verification of Autonomous Systems, Autonomous Vehicles Functional Safety, Training of AI AV Systems, Verificatin of AI AV Systems, and Training of Physical AI for AV Systems

Locations

  • Primary

    11 Menahem Begin

    Rogovin Tidhar building

    Ramat Gan , Israel 99999, IL

    Get directions

Employees at Foretellix

Updates

  • 𝐅𝐨𝐫𝐞𝐭𝐞𝐥𝐥𝐢𝐱 𝐏𝐫𝐨𝐟𝐢𝐥𝐞𝐝 𝐢𝐧 𝐕𝐃𝐂 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡’𝐬 𝐋𝐚𝐭𝐞𝐬𝐭 𝐁𝐫𝐢𝐞𝐟 𝐨𝐧 𝐒𝐨𝐟𝐭𝐰𝐚𝐫𝐞-𝐃𝐞𝐟𝐢𝐧𝐞𝐝 𝐌𝐨𝐛𝐢𝐥𝐢𝐭𝐲 We are thrilled to share that Foretellix has been featured in the latest executive brief by VDC Research: "Automotive Software Development & Security Solutions: Enabling the Shift to Secure, Connected, and Software-Defined Mobility". As the automotive industry transitions to Software-Defined Vehicles (SDVs), the need for robust verification and validation has never been more critical. The report highlights the essential role of integrated and automated software toolchains in ensuring functional safety and regulatory compliance for SAE Level 3 and Level 4 systems. 𝐊𝐞𝐲 𝐈𝐧𝐬𝐢𝐠𝐡𝐭𝐬 𝐟𝐫𝐨𝐦 𝐭𝐡𝐞 𝐑𝐞𝐩𝐨𝐫𝐭: Safety First: Advanced Driver-Assistance Systems (ADAS) and autonomous driving are top priorities, with 45.2% of engineers focusing on Level 3, 4, or 5 autonomy. 𝐂𝐨𝐦𝐩𝐥𝐞𝐱𝐢𝐭𝐲 𝐢𝐬 𝐭𝐡𝐞 𝐂𝐡𝐚𝐥𝐥𝐞𝐧𝐠𝐞: Application and technology complexity are identified as the leading causes of project delays. 𝐓𝐡𝐞 𝐏𝐨𝐰𝐞𝐫 𝐨𝐟 𝐒𝐢𝐦𝐮𝐥𝐚𝐭𝐢𝐨𝐧: High-fidelity simulation and comprehensive validation are vital for the "Next Wave of Automotive Innovation". At Foretellix, we are dedicated to helping OEMs and Tier 1 suppliers overcome these complexities with our industry-leading data-automation toolchain for AI-powered autonomy. A huge thank you to Mark Fitzgerald and Chris Rommel at VDC Strategy for their deep dive into the technologies shaping the future of mobility. Read more about how we're enabling the safe deployment of autonomous systems: https://lnkd.in/dw-qjCDe

  • 𝗧𝗿𝘂𝘀𝘁 𝗶𝗻 𝘀𝗶𝗺𝘂𝗹𝗮𝘁𝗶𝗼𝗻 𝗶𝘀 𝗯𝗲𝗰𝗼𝗺𝗶𝗻𝗴 𝗷𝘂𝘀𝘁 𝗮𝘀 𝗶𝗺𝗽𝗼𝗿𝘁𝗮𝗻𝘁 𝗮𝘀 𝘁𝗿𝘂𝘀𝘁 𝗶𝗻 𝘁𝗵𝗲 𝘃𝗲𝗵𝗶𝗰𝗹𝗲 𝗶𝘁𝘀𝗲𝗹𝗳. As autonomous vehicle development scales, simulation is no longer just a supporting tool. It is central to validation. But simulation only creates value when teams can prove it is realistic, repeatable, and fit for purpose. In this blog from Janine Golpashin, the Director of Product Solutions at Foretellix, she explains Foretellix's unified approach to simulation trustworthiness, covering toolchain qualification, simulation fidelity, and data-backed credibility assessment. The result is a clearer path to making simulation a measurable and defensible part of the AV safety case. 👉 Read the full blog here https://lnkd.in/dAAyapyn

    • 𝗧𝗿𝘂𝘀𝘁 𝗶𝗻 𝘀𝗶𝗺𝘂𝗹𝗮𝘁𝗶𝗼𝗻 𝗶𝘀 𝗯𝗲𝗰𝗼𝗺𝗶𝗻𝗴 𝗷𝘂𝘀𝘁 𝗮𝘀 𝗶𝗺𝗽𝗼𝗿𝘁𝗮𝗻𝘁 𝗮𝘀 𝘁𝗿𝘂𝘀𝘁 𝗶𝗻 𝘁𝗵𝗲 𝘃𝗲𝗵𝗶𝗰𝗹𝗲 𝗶𝘁𝘀𝗲𝗹𝗳.
  • 𝐇𝐨𝐰 𝐝𝐨𝐞𝐬 𝐀𝐈 𝐡𝐞𝐥𝐩 𝐤𝐞𝐞𝐩 𝐬𝐜𝐞𝐧𝐚𝐫𝐢𝐨 𝐭𝐞𝐬𝐭𝐬 𝐚𝐥𝐢𝐠𝐧𝐞𝐝 𝐰𝐢𝐭𝐡 𝐭𝐡𝐞𝐢𝐫 𝐭𝐫𝐮𝐞 𝐩𝐮𝐫𝐩𝐨𝐬𝐞?🤖🛡️ In the race to scale ADAS and AV development, a "passing" test result can be a dangerous illusion. As software stacks evolve, we often encounter Intent Drift. A scenario designed to test a high-stakes cut-in might, after a few software updates, result in a vehicle interaction that is no longer challenging or even relevant. The test technically "passes," but its original safety purpose is lost. Manually reviewing thousands of daily simulation runs to find these "zombie tests" is impossible. That’s where AI becomes a critical partner in the V&V process. At Foretellix, we’re utilizing AI to protect the integrity of your validation suite by: ◈ Defining Intent: Using Natural Language to bridge the gap between human safety goals and technical execution. ◈ Automated Detection: Deploying AI-based detectors that understand if a scenario actually achieved its intended "challenge." ◈ Closing the Loop: Identifying "Intent Drift" automatically, so engineers can focus on meaningful failures rather than chasing ghost passes. Don't let your regression suite lose its edge. Learn how AI-powered intent detection ensures every simulation hour spent is an hour spent on safety. Read the full technical deep dive by Sebastian Klaas here: 👉 https://lnkd.in/ducmU9Cj

    • 𝐇𝐨𝐰 𝐀𝐈 𝐡𝐞𝐥𝐩𝐬 𝐤𝐞𝐞𝐩 𝐬𝐜𝐞𝐧𝐚𝐫𝐢𝐨 𝐭𝐞𝐬𝐭𝐬 𝐚𝐥𝐢𝐠𝐧𝐞𝐝 𝐰𝐢𝐭𝐡 𝐭𝐡𝐞𝐢𝐫 𝐭𝐫𝐮𝐞 𝐩𝐮𝐫𝐩𝐨𝐬𝐞? 🤖🛡️
  • Celebrating Israel Independence Day by recognizing the innovation, resilience, and talent that continue to shape the country’s global impact. At Foretellix, Israel is home to teams across R&D, AI, Engineering, Safety, Methodology, Perception, and Sensor Simulation. Their expertise, creativity, and commitment play an important role in advancing innovation every day. Wishing all who are celebrating a happy Israel Independence Day.

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  • 𝗧𝗵𝗲 𝗙𝗼𝗿𝗲𝘁𝗲𝗹𝗹𝗶𝘅 𝘁𝗲𝗮𝗺 𝗰𝗼𝗺𝗽𝗹𝗲𝘁𝗲𝗱 𝗮 𝗴𝗹𝗼𝗯𝗮𝗹 𝗼𝗳𝗳𝘀𝗶𝘁𝗲 𝘁𝗿𝗮𝗶𝗻𝗶𝗻𝗴 𝘀𝗲𝘀𝘀𝗶𝗼𝗻 𝘁𝗵𝗶𝘀 𝘄𝗲𝗲𝗸 𝗶𝗻 𝗠𝘂𝗻𝗶𝗰𝗵. Colleagues from nine countries, including Brazil, the United States, Germany, Sweden, India, Israel, China, Japan, and New Zealand, gathered to exchange ideas and explore innovations. 🌍 Session Highlights Knowledge Transfer: Sharing best practices and technical insights across distributed international teams. Team Integration: Welcoming new employees into the Foretellix organization through dedicated onboarding and collaborative sessions. 🤝 Technical Discussion: Engaging in direct peer-to-peer exchanges to strengthen professional connections and internal workflows. Operational Impact This week allowed the team to address complex project requirements through direct, in-person exchange. These touchpoints facilitate knowledge sharing and keep our engineering and product teams working closely together. 🌍

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  • 𝐖𝐡𝐚𝐭 𝐢𝐟 𝐚 𝐋𝟒 𝐀𝐕 𝐩𝐫𝐨𝐠𝐫𝐚𝐦 𝐰𝐢𝐭𝐡 𝐚 𝐝𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 𝐞𝐬𝐭𝐢𝐦𝐚𝐭𝐞 𝐨𝐟 𝐟𝐨𝐮𝐫-𝐩𝐥𝐮𝐬 𝐲𝐞𝐚𝐫𝐬 𝐜𝐨𝐮𝐥𝐝 𝐛𝐞 𝐬𝐡𝐢𝐩𝐩𝐞𝐝 𝐢𝐧 𝐮𝐧𝐝𝐞𝐫 𝐭𝐰𝐨? Saving over two years off of a project didn't happen by running more tests at the end of the development process. It happened by moving simulation into the development loop from day one. The new streamlined process meant that every code change triggered automated virtual tests against a prioritized library of high-value scenarios, tied to real-world data and historical bug patterns. Developers got same-day feedback. V&V teams had continuous coverage visibility. The digital twin stopped being a V&V-only tool. The Result:  31 million simulation runs over six months. Coverage went from 12% to 87%. Projected costs cut in half. Coverage isn't a volume problem. It's a timing and relevance problem. The teams who are setting themselves up to win are running the right scenarios as early as they can in development, continuously, and as part of how they build, not as a checkpoint at the very end before shipping. 👉 For all the details click the link to learn more

  • 𝗠𝗼𝗱𝗲𝗹 𝗖𝗼𝗻𝘁𝗲𝘅𝘁 𝗣𝗿𝗼𝘁𝗼𝗰𝗼𝗹 𝗶𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻 𝗲𝗻𝗮𝗯𝗹𝗲𝘀 𝗔𝗜-𝗻𝗮𝘁𝗶𝘃𝗲 𝘄𝗼𝗿𝗸𝗳𝗹𝗼𝘄𝘀 𝗯𝘆 𝗰𝗼𝗻𝗻𝗲𝗰𝘁𝗶𝗻𝗴 𝗙𝗼𝗿𝗲𝘁𝗲𝗹𝗹𝗶𝘅 𝗱𝗶𝗿𝗲𝗰𝘁𝗹𝘆 𝘁𝗼 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀. The Foretellix MCP bridge allows autonomous vehicle engineers to interact with the Foretellix Physical AI toolchain using natural language within environments like Claude Desktop or Cursor. This architecture utilizes a local MCP server that connects to Foretellix tools running on the customer infrastructure, ensuring that sensitive data remains within your secure environment. Technical advantages for V&V and AI teams: 📉 Reduced context switching: Search for scenarios, launch simulations, and analyze results without leaving the IDE. 🛠️ Toolchain interoperability: The standardized MCP framework allows AI agents to interface with external testing tools in a predictable, secure way. 🤖 Automated scenario discovery: Query your scenario library for specific edge cases, such as vehicle cut-ins with pedestrian crossings, using natural language prompts. This integration reflects the shift toward AI-native engineering where testing and analysis are embedded into the developer toolkit. By utilizing the MCP bridge, teams can accelerate iteration cycles and focus on high-value problem solving rather than tool management. Read the blog to learn more: 👉 https://lnkd.in/dMZQ4eDf Current customers can contact their Foretellix representative to implement the MCP integration in their local environment or visit the Foretellix.com website for more information. https://lnkd.in/dKusEMJk

    • 𝗠𝗼𝗱𝗲𝗹 𝗖𝗼𝗻𝘁𝗲𝘅𝘁 𝗣𝗿𝗼𝘁𝗼𝗰𝗼𝗹 𝗶𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻 𝗲𝗻𝗮𝗯𝗹𝗲𝘀 𝗔𝗜-𝗻𝗮𝘁𝗶𝘃𝗲 𝘄𝗼𝗿𝗸𝗳𝗹𝗼𝘄𝘀 𝗯𝘆 𝗰𝗼𝗻𝗻𝗲𝗰𝘁𝗶𝗻𝗴 𝗙𝗼𝗿𝗲𝘁𝗲𝗹𝗹𝗶𝘅 𝗱𝗶𝗿𝗲𝗰𝘁𝗹𝘆 𝘁𝗼 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀.
  • 𝐇𝐢𝐠𝐡-𝐟𝐢𝐝𝐞𝐥𝐢𝐭𝐲 𝐬𝐞𝐧𝐬𝐨𝐫 𝐬𝐢𝐦𝐮𝐥𝐚𝐭𝐢𝐨𝐧 𝐢𝐬 𝐭𝐡𝐞 𝐨𝐧𝐥𝐲 𝐭𝐞𝐜𝐡𝐧𝐢𝐜𝐚𝐥 𝐩𝐚𝐭𝐡 𝐭𝐨 𝐚𝐜𝐡𝐢𝐞𝐯𝐢𝐧𝐠 𝐭𝐡𝐞 𝐬𝐜𝐚𝐥𝐞 𝐫𝐞𝐪𝐮𝐢𝐫𝐞𝐝 𝐟𝐨𝐫 𝐀𝐈-𝐧𝐚𝐭𝐢𝐯𝐞 𝐚𝐮𝐭𝐨𝐧𝐨𝐦𝐲. Real-world testing is too slow and cost-intensive to validate end-to-end AI models, which require full-stack, sensor-inclusive verification. By shifting to a high-fidelity virtual environment, teams can iterate on sensor mounting and hardware configurations without repeating thousands of physical test kilometers 🛠️. The integration of the Foretify™ platform with NVIDIA Omniverse and Cosmos enables a rigorous V&V workflow through Neural Reconstruction. This allows developers to transform real-world drive logs into editable simulation scenes where weather, actor behavior, and sensor parameters can be varied at scale to uncover critical edge cases 🌧️. 👉 Read the blog here

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Funding

Foretellix 4 total rounds

Last Round

Series C

US$ 85.0M

See more info on crunchbase