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Spire Global Announces
Expanded Relationship with Sinay
February 10, 2022
Spire Global, Inc.
announced a new agreement with Sinay. Together,
Spire and Sinay are leveraging data and machine
learning to develop global maritime solutions.
Sinay has developed the Sinay
Hub, a cloud-based solution that uses advanced AI
algorithms to offer real-time environmental and
logistic monitoring for maritime industry
stakeholders that want to improve their efficiency
and sustainability through data. The Hub tool
creates real-time situational awareness, allowing
the maritime industry to make the right decisions,
drive more efficiency and easily comply with
regulations.
Spire is integrating its
historical and real-time automatic identification
system (AIS) data into Sinay’s machine learning
model. Using Spire’s data, Sinay’s AI technology
will determine maritime routes, classify vessels and
train the machine learning model to improve AI
algorithms and predict a reliable Estimated Time of
Arrival (ETA). Sinay has been a long-term partner of
Spire’s, leveraging the company’s AIS data for more
than two years. In addition to AIS data, Sinay is
now looking at integrating maritime weather insights
for cargo tracking by modeling weather conditions
and ETA’s that employ machine learning to define the
best route for cargo delivery.
“Modern businesses rely on
having current, precise, and reliable data to make
informed decisions. Spire’s data and analytics
enable us to confidently deliver real-time
situational awareness, allowing the maritime
industry to tap into the power of AI and data to
make optimal decisions, consistently, and in
real-time,” said David Lelouvier, Managing Director,
Sinay. “We look forward to continuing to work with
Spire to provide our customers best-in-class,
actionable global maritime data.”
“The impact of weather on the
maritime industry and in turn global supply chains
is something that we are uniquely able to help our
customers mitigate,” said John Lusk, SVP and General
Manager, Spire Maritime. “We are pleased to expand
our relationship with Sinay to include this valuable
data set alongside the historical and real-time AIS
data that they have been utilizing in their models
for years.”
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