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Saildrone

saildrone.com

Stage

Series C | Alive

Total Raised

$180M

Last Raised

$100M | 1 yr ago

Mosaic Score
The Mosaic Score is an algorithm that measures the overall financial health and market potential of private companies.

+40 points in the past 30 days

About Saildrone

Saildrone is a provider of ocean data collected by a fleet of unmanned, autonomous sailing drones. The company is enabling an open systematic view of the earth's oceans, and pioneering a new wave of applications providing insight and access to real time data, at a price point orders of magnitude below that of traditional sources, at orders of magnitude higher cadence and accuracy. Saildrone is democratizing access to the oceans, which remain largely unexplored, and is poised to revolutionize the industry.

Headquarters Location

1050 W Tower Ave

Alameda, California, 94501,

United States

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Expert Collections containing Saildrone

Expert Collections are analyst-curated lists that highlight the companies you need to know in the most important technology spaces.

Saildrone is included in 2 Expert Collections, including Robotics.

R

Robotics

1,974 items

This collection includes startups developing autonomous ground robots, unmanned aerial vehicles, robotic arms, and underwater drones, among other robotic systems. This collection also includes companies developing operating systems and vision modules for robots.

A

Aerospace

2,255 items

Saildrone Patents

Saildrone has filed 8 patents.

The 3 most popular patent topics include:

  • Autonomous cars
  • Sailing rigs and rigging
  • Robotic submarines
patents chart

Application Date

Grant Date

Title

Related Topics

Status

2/4/2019

8/10/2021

Sailing rigs and rigging, Ship types, Robotics, Autonomous cars, Robotic submarines

Grant

Application Date

2/4/2019

Grant Date

8/10/2021

Title

Related Topics

Sailing rigs and rigging, Ship types, Robotics, Autonomous cars, Robotic submarines

Status

Grant

Latest Saildrone News

The hunt for a better weather forecast

Jan 20, 2023

Inaccurate weather forecasts are prompting tech start-ups to rush into an industry that is dominated by government agencies and takes time to change. For example, a five-day weather forecast today has the same accuracy as a three-day forecast in the 1990s, multiple meteorologists said. Start-ups are acquiring billions of dollars in funding aimed at getting better data for their private weather models. Private weather forecasting has been estimated to be at least a $7 billion industry. At least $880 million in venture funding has flown to weather tech start-ups in recent years, data from Crunchbase shows. These companies are launching their own satellites and sending drones out to sea to scour for creative data points. Many are using artificial intelligence to fuel weather prediction algorithms. Many of these start-ups aren’t quite there yet, meteorologists say. Companies make bold claims that seem unrealistic, especially when they’re often marginally better than government-provided data. Advertisement But the track they’re on is an important one, start-up executives said. As climate change fuels extreme weather events that kill people and cause billions of dollars in damage, having a better sense of when a storm is coming could save lives and lots of money. Tomorrow.io , a weather tech company started in 2016 by Israeli military veterans, says it can make weather predictions more accurate by using proprietary forecasting algorithms, public data and “millions of different inputs” from private data to create “a much more finely tuned forecast,” according to its chief marketing officer, Dan Slagen. Private data points can include sensor data from drones and airplanes, or even when “windshield wipers go off on the car,” Slagen said. The company provides a free app that anyone can download. But a large part of the company’s business is an intelligence platform that provides clients recommendations on how they can augment business operations depending on the forecast, according to Slagen. Airlines, for example, might be told to de-ice planes at a certain time before it gets too cold, or trucking companies might be alerted to send out their fleets earlier to beat a rainstorm. The company’s customers, which include the U.S. Air Force, Delta Air Lines and Uber, often pay thousands to millions of dollars per year for this platform, Slagen said. And in the coming months, the company is launching the first of roughly 20 satellites because it believes space is where the best weather data lies. Having its own satellites could let the company get data quicker, Slagen said. Advertisement “[It’s] a huge game changer,” he said. Salient Predictions, started in 2019, is trying to more accurately predict the weather a few months out. It is using machine learning, which is software that lets computers digest information and adapt on their own, to analyze global data sets with more than 20 variables, including ocean salinity, sea temperatures and pressure, wind speeds, and air temperature. The company believes its methods better predict precipitation. Matt Stein, the company’s co-founder, said Salient Predictions’ use of machine learning puts it ahead of government agencies, which he said have “shied away” from machine learning in favor of traditional physics-based computer models. The company’s customers include Zurich Insurance, BASF and brewing company AB InBev, and the cost of its platform can start in “the low six figures,” Stein said. Saildrone is a company with over 100 drones that are sent out into the ocean to collect data. (Video: Saildrone) And Saildrone , a company founded in 2012, has a fleet of over 100 drones resembling sailboats, many of which are powered by solar and wind power. They can be sent into the ocean for six months to a year at a time to collect data that is otherwise very hard to obtain because of the harsh nature of the sea. Advertisement Matt Womble, the director of Saildrone’s ocean data program, said making more ocean weather observations helps map storms and weather systems before they come to land. The company has been contracted by agencies such as the U.S. National Oceanic and Atmospheric Administration for missions during hurricanes. He declined to say how much it charges. Humans have tried to predict the weather for centuries. Before modern technology, the world provided clues: “Red sky at morning, sailors take warning,” one adage goes. “Open pine, weather’s fine,” another advises, referring to pine cones opening their scales in dry air. In the 1950s, the world saw its first computerized forecast, laying the groundwork for how weather is predicted today. Currently, two of the world’s most prominent weather models are the Global Forecasting System, operated by NOAA and the European Centre for Medium-Range Weather Forecasts, run by an independent intergovernmental organization backed by many European countries. Advertisement It starts with observing the atmosphere’s current state. To do that, satellites, radar and weather balloons capture basic data such as temperature, wind speeds and air moisture. That data is fed into sophisticated models and high-powered computers, which use physics equations to create numerical representations of the atmosphere. Those are then stepped forward to predict the weather in the future, Novak added. From there, local meteorologists often analyze several models and craft forecasts for the general public. This video was captured by Saildrone Explorer SD 1078 during Hurricane Fiona in the Atlantic Ocean on Sept. 22, 2022. (Video: Saildrone) Better satellites, more precise radar and increased computing power has made these forecasts more accurate, he said. But Novak acknowledges forecasts can be better. Computer models need to better analyze the way the ocean and the atmosphere interact, he said. Satellite images need to be even better, he added. For example, satellites feed the Global Forecasting System images of the Earth in roughly 13-kilometer blocks, which Novak said should be reduced to the single digits. Advertisement “It’s an incredible amount of data points,” he said. “You need this very high-performance computing to do those kinds of fast calculations.” Some meteorologists and weather experts have concerns over the private sector getting so involved in predicting the weather. Andrew Blum, author of the book “ The Weather Machine ,” said it’s worth being “very cautious” regarding start-ups’ claims that they can drastically improve forecasts, because many start-ups benefit greatly from the public data feeding their algorithms. Blum also notes that, as extreme weather worsens, there is more incentive for start-ups to provide the best weather models, because companies want to stem the financial havoc created by storms. But that could inadvertently harm the public. “You have a shift,” Blum said, “where people who can afford better forecasts get better forecasts.”

Saildrone Frequently Asked Questions (FAQ)

  • Where is Saildrone's headquarters?

    Saildrone's headquarters is located at 1050 W Tower Ave, Alameda.

  • What is Saildrone's latest funding round?

    Saildrone's latest funding round is Series C.

  • How much did Saildrone raise?

    Saildrone raised a total of $180M.

  • Who are the investors of Saildrone?

    Investors of Saildrone include Capricorn Investment Group, Social Capital, Lux Capital, XN Capital, Crowley Maritime and 9 more.

  • Who are Saildrone's competitors?

    Competitors of Saildrone include Terradepth and 5 more.

Compare Saildrone to Competitors

S
SoFar Ocean Technologies

SoFar Ocean Technologie makes instruments for ocean data collection. It deploys its "Spotter" buoys across the oceans to collect data that ultimately aims to improve weather forecasts and climate monitoring. Its products are used by climate scientists, shipping carriers, and governments. The company was founded in 2019 and is based in San Francisco, California.SoFar Ocean Technologies was formed from a merger between underwater drone maker OpenROV and sea sensor developer Spoondrift.

XOcean Logo
XOcean

XOcean offers ocean data collection as a service to surveyors, companies, and agencies. Xocean also offers data collection as a service to academic and research institutions.

Terradepth Logo
Terradepth

Terradepth provides ocean data management solutions. It uses autonomous robots to collect data on subsea environments. The company was founded in 2018 and is based in Austin, Texas.

B
Berring Data Collective

Berring Data Collective is a provider of ocean data collection services intended to serve fishermen, science, and maritime industries. It is based in Copenhagen, Denmark.

SeaDrone Logo
SeaDrone

SeaDrone manufactures a sub-sea robot that simplifies underwater inspections.

Blue Ocean Gear Logo
Blue Ocean Gear

Blue Ocean Gear develops IoT tracking for the oceans, starting with Smart Buoys to track gear for the fishing industry.

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