• 2019 April 6 13:35

    Nautilus secures $11M in funding, led by M12, to build artificial intelligence for ocean shipping

    Nautilus, the company building artificial intelligence for the maritime shipping industry, today announces $11M in Series A funding led by M12, Microsoft’s venture fund, along with Root Ventures. Existing and new investors including Quiet Capital, Trail Mix, and Amplifier Lab participated in the round, which brings Nautilus’ total funding raised to $14.5M, the Company said in a press release.

    Nautilus was founded in 2016 to advance the efficiency of maritime shipping and build a more sustainable future for ocean commerce. Responsible for 90% of the world’s trade, ocean shipping consumes more than $100 billion in fuel every year. Left unchecked, it will account for 20% of global greenhouse emissions by 2050. Lightly regulated and often overlooked, the industry relies primarily on manual and error-prone forms of reporting to measure fuel consumption and vessel performance.

    Nautilus provides the technology platform for shipping companies to run their fleets more efficiently. The company aggregates data from on board the ship and combines it with meteorological, oceanographic, and commercial data to build a comprehensive fleet profile. Through machine learning and artificial intelligence, the platform provides real-time analytics, alerts, and decision support for operators. This allows shipping companies to minimize fuel consumption, maximize operational efficiency, and ultimately optimize fleet performance over time. “Nautilus is creating an economic imperative for shipping businesses to reduce their fuel consumption,” says Matt Heider, Chief Executive Officer of Nautilus. “Think of us as the artificially intelligent first mate that helps the captain and the crew to always take the profit-maximizing (and fuel-reducing) decision. Over thousands of voyages for hundreds of ships, we’re able to generate meaningful savings while bringing transparency and accountability to the industry.”

    To date, Nautilus has signed with several fleets, including Teekay, Dorian LPG, and Eagle Bulk Shipping. The platform has proven to reduce fuel emissions by over 10% in a single voyage, and savings of up to 30% with wider deployment. Combined with multiple voyages per vessel, and many vessels per fleet, the impact is clear.

    “By applying machine learning and artificial intelligence to ocean commerce, Nautilus is upending traditional maritime shipping inefficiencies as it builds towards supporting a more sustainable global trade environment,” says Matt Goldstein, partner at M12. “We are proud supporters of the Nautilus team’s mission and believe they possess the tools and experience needed to digitize one of the world’s oldest industries.”

    With the Series A funding, Nautilus will continue to invest in developing deeper predictive decision support or shoreside teams and crews. The New York-based startup plans to triple in size over the next year, investing in engineering, data science, and product development.

    About Nautilus Labs
    Nautilus is building artificial intelligence to advance the efficiency of ocean commerce. We deliver technology to help shipping companies minimize fuel consumption, maximize operational efficiency, and optimize fleet performance. By arming ship owners and operators with real-time predictive decision support, Nautilus is reducing greenhouse gas emissions and making global trade sustainable. To learn more, visit nautiluslabs.co.

    About M12
    As the corporate venture arm for Microsoft, M12 (formerly Microsoft Ventures) invests in enterprise software companies in the Series A through C funding stage with a focus on big data & analytics, business SaaS, cloud infrastructure, machine learning & artificial intelligence, productivity and security. As part of its valueadd to portfolio companies, M12 offers unique access to strategic go-to-market resources and relationships globally. The Company has offices in New York, San Francisco, Seattle, London and Tel Aviv.   


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