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How Much Did Nauto Raise? Headquarters, Funding & Key Investors

Nauto, founded in 2015, has raised $215 million in funding, including a $159 million Series B (Jul 19, 2017) and a Series C (Jun 15, 2023, undisclosed) with participation from Stellantis Ventures. The company provides an AI-driven driver and fleet safety platform using cabin- and road-facing video, vehicle telemetry, and machine learning to predict and prevent collisions. Backed by SoftBank, Greylock, Toyota Research Institute, Allianz X, and Stellantis Ventures, Nauto enables real-time driver alerts, post-trip coaching, and predictive fleet analytics. Headquartered in Palo Alto, California, it continues scaling deployments and improving fleet safety intelligence.

    Nauto has raised $215 million across multiple funding rounds, including a $159 million Series B (Jul 19, 2017) and a Series C (Jun 15, 2023, undisclosed) with strategic participation by Stellantis Ventures. Founded in 2015, Nauto develops an AI-driven driver and fleet safety platform that fuses cabin- and road-facing video, vehicle telemetry, and machine learning to predict and prevent collisions. The company is headquartered in Palo Alto, California, United States.

    The platform focuses on reducing fleet incidents, improving driver behavior, and enabling predictive safety interventions for commercial fleets.

    Keep reading to learn how Nauto leverages AI to improve fleet safety and operational efficiency.

    What Is Nauto and What Does It Do?

    Nauto, founded in 2015 by Stefan Heck and Frederick Soo, is an AI safety company for fleets. The platform combines dashcam systems, edge compute, machine learning models, driver coaching, and fleet analytics to prevent collisions and optimize operations.

    Nauto analyzes driver behavior in real time, providing alerts and post-trip coaching. The platform also aggregates fleet-wide data to improve predictive models and enhance safety across diverse driving conditions.

    How Much Funding Has Nauto Raised?

    1. Series B

    • Amount Raised: $159 million
    • Date: Jul 19, 2017
    • Lead Investors: Greylock, SoftBank Group, Toyota/BMW/GM Ventures (consortium)
    • Purpose: Product R&D and scaling fleet pilot programs

    2. Series A

    • Amount Raised: $9 million
    • Date: Oct 07, 2016
    • Lead Investors: Toyota Research Institute, BMW i Ventures, Allianz X
    • Purpose: Prototype development and initial pilots

    Total Funding Raised: $215 million
    Latest Funding Date: Jun 2023

    Key Investors

    1. SoftBank Group / SoftBank Vision Fund
      • Details: Large global investor with interest in mobility and AI
      • Focus Areas: Mobility, AI, robotics, autonomous technology
      • Notable Investments: Uber, WeWork, Nauto, Grab, DoorDash
    2. Greylock Partners
      • Details: Early-stage VC with enterprise and consumer SaaS focus
      • Focus Areas: AI, enterprise software, marketplaces
      • Notable Investments: LinkedIn, Airbnb, Facebook, Nauto, Dropbox
    3. Toyota Research Institute / Toyota Ventures
      • Details: Strategic corporate VC investing in autonomy and mobility
      • Focus Areas: Autonomous driving, robotics, mobility platforms
      • Notable Investments: Nauto, Uber ATG (earlier), KINOVA, other mobility startups
    4. Allianz X
      • Details: Corporate VC of Allianz focusing on insurtech and fintech
      • Focus Areas: Insurance technology, risk analytics, mobility
      • Notable Investments: Nauto, Lemonade, Shift, Clarity Money
    5. Stellantis Ventures
      • Details: OEM venture unit supporting strategic mobility investments
      • Focus Areas: OEM partnerships, fleet technology, autonomy
      • Notable Investments: Nauto and other supplier/OEM collaborations

    Where Is Nauto’s Headquarters?

    Nauto is headquartered in Palo Alto, California, United States, near major automotive, AI talent, and OEM partners.

    What’s Next for Nauto?

    Nauto plans to expand OEM integrations, scale telematics for large fleets, monetize safety data with insurers, and improve edge ML models for cross-fleet learning and zero-day risk detection.

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