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§ Private Profile · Tel Aviv, Israel
Vehicle Software Intelligence solutions for the automotive industry, enabling remote diagnostics and seamless OTA updates.
Aurora Labs is an enterprise software company based in Tel Aviv, Israel, that develops vehicle software intelligence solutions, remote diagnostics, and wireless update capabilities for the global automotive industry. The firm provides commercial software licensing to original equipment manufacturers and Tier 1 suppliers to proactively manage the lifecycle of connected vehicles. Operating with a workforce of approximately 100 employees across offices in the United States, Germany, and North Macedonia, the organization has secured $97 million in funding. Aurora Labs is backed by notable corporate investors including Porsche Automobil Holding SE, LG Technology Ventures, and Toyota Tsusho, while maintaining a strategic partnership with Infineon Technologies. A recent $63 million Series C funding round led by Moore Strategic Ventures has further accelerated the deployment of its predictive maintenance technologies. Aurora Labs was founded in 2016 by Zohar Fox and Ori Lederman.
Aurora Labs has raised $97.0M across 4 funding rounds.
Aurora Labs has raised $97.0M in total across 4 funding rounds.
Aurora Labs has raised $97.0M across 4 funding rounds. Most recently, it raised $63.0M Series C in July 2022.
| Date | Round | Lead Investors | Other Investors | Status |
|---|---|---|---|---|
| Jul 7, 2022 | $63M Series C | — | Colmobil | Announced |
| Sep 1, 2020 | $23M Series B | Marius Nacht, Anshul Agarwal | 10D, Amoon Fund, Cyberstarts VC, Omri Casspi, Lutz Meschke, Mitsuhiro Tsubakimoto, Christopher Park | Announced |
| Jul 1, 2018 | $8M Series A | FM Capital | MizMaa Ventures, TA Ventures | Announced |
| Nov 1, 2017 | $3M Seed | — | Maniv Mobility, MizMaa Ventures, Queensbridge Venture Partners, Sommet AB, Expansion VC, Trucks Venture Capital | Announced |
Aurora Labs has raised $97.0M in total across 4 funding rounds.
Aurora Labs's investors include Colmobil, Marius Nacht, Anshul Agarwal, 10D, aMoon Fund, Cyberstarts VC, Omri Casspi, Lutz Meschke, Mitsuhiro Tsubakimoto, Christopher Park, FM Capital, MizMaa Ventures.
Aurora Labs is a technology company specializing in AI-driven observability and performance intelligence for software, particularly in embedded systems.[1][2] It develops LOCI, an AI-powered platform using a proprietary Large Code Language Model (LCLM) to analyze compiled binaries, predict power spikes, performance inefficiencies, and software regressions without requiring testing or inference.[1][2][5] Serving primarily the automotive industry for software-defined vehicles, it also targets AI, Data Centers, and embedded systems development, solving challenges like software complexity, quality control, OTA updates, and system-wide reliability.[1][2][4][5] With $97-100M raised and over 100 patents, the company accelerates development lifecycles by providing deep insights into code behavior on targeted hardware.[1][2]
Founded in 2016 and headquartered in Tel Aviv, Israel, Aurora Labs operates globally with offices in the US, Germany, North Macedonia, and Japan, focusing on ML, NLP, and model tuning to enhance observability and predictive maintenance.[1][2][3]
Aurora Labs was founded in 2016 in Tel Aviv, Israel, as a startup pioneering data-driven innovation in automotive software intelligence.[1][2][4] The founders leveraged expertise in machine learning (ML), natural language processing (NLP), and model tuning to address the growing complexity of software in modern vehicles—"software on wheels"—where millions of lines of code demand transparency and predictive management.[1][4] Early focus centered on Vehicle Software Intelligence, using Line-Of-Code Intelligence™ technology to collect granular data from automotive systems, detect code changes for OTA updates, and analyze dependencies for quality and maintenance.[4]
Pivotal moments include developing the proprietary LCLM for binary analysis, earning over 100 patents, and raising approximately $100M in funding.[1][2] By 2025, it expanded LOCI to AWS Marketplace via the ISV Accelerate Program, broadening access for DevOps, IoT, and ML workloads beyond automotive.[2][3]
Aurora Labs rides the wave of software-defined vehicles (SDVs) and AI infrastructure optimization, where automotive software complexity explodes amid electrification, autonomy, and OTA ecosystems.[2][4] Timing is ideal as vehicles integrate more ECUs and AI models, demanding binary observability to ensure reliability without source code—addressing a gap in traditional tools reliant on logs or simulations.[1][5] Market forces like regulatory safety standards, chip shortages, and data center power constraints favor its LCLM, which delivers hardware-specific insights for embedded/AI systems.[2][3]
It influences the ecosystem by pioneering purpose-built LLMs for code intelligence, enabling shift-left practices that cut dev cycles and costs; AWS integration democratizes access, accelerating adoption in automotive OEMs and beyond.[2][3]
Aurora Labs is poised to dominate AI observability for binaries as SDVs and edge AI proliferate, with LOCI expanding from automotive to hyperscale Data Centers and IoT.[1][3][5] Next steps likely include deeper AWS/ML integrations, new vertical LLMs for sectors like industrial IoT/energy, and partnerships with chipmakers for hardware-optimized predictions.[2][3] Trends like generative AI tuning, power-efficient inference, and zero-trust software validation will amplify its edge, potentially scaling revenue via SaaS and patents. As embedded systems evolve into AI powerhouses, Aurora's binary foresight positions it to redefine reliability at scale—transforming "software on wheels" into unbreakable intelligence.