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You can experience our satellite AIS data and apply it to your unique use-cases in a number of different ways. Determining the value of data varies greatly depending on your desired business outcomes and what information you want to prioritize. Keep reading to find out how you can start working with AIS data today to improve your decision-making.
Spire Maritime offers a one-stop shop for maritime data analytics. Our customers are companies who want best-in-class maritime domain awareness and state-of-the-art vessel tracking. We help you get there.
Our offerings span from low latency raw feeds to smart, flexible APIs that let you combine S-AIS, D-AIS™ and T-AIS with intelligent add-ons allowing you to customize your data lake for specific regions, frequencies, and vessels. Our easy to use APIs show you the data you need when you need it.
Our APIs are constantly evolving with intelligent algorithms that not only predict vessel locations but also provide insights to known issues such as high traffic noise. We can work with you to ensure you’re receiving the data you need to solve your specific challenges.
Spire Maritime uses big data to develop next-generation intelligent vessel tracking and monitoring solutions. To that end, we combine our AIS data with curated data sets, like Enhanced Vessel Data and Weather Forecasts, for full maritime awareness.
Deep dive into historical data to solve business challenges and compare performance. Customers use our data sets and APIs in unique ways to manage dark vessel detection, predict port berth arrivals, and improve fuel consumption and emissions.
Access built-in predictive analytics to see past, present and future vessel information.
Receive highly accurate, decluttered and verified terrestrial, satellite and D-AIS™ data, how and when you need it.
Build a full maritime picture with integrated vessel data and weather forecasts to make informed decisions.
For decades, the maritime industry has been challenged by gaps in AIS data in high traffic zones (HTZs) around the world. Dynamic AIS™ solves this data gap challenge.
Dynamic AIS™ is a world-first innovation from Spire Maritime that allows you to benefit from thousands of satellite-enabled AIS receivers traveling throughout the busiest shipping lanes in the world.
Unlike other satellite AIS providers, we combined three types of AIS collection (terrestrial, satellite, and Dynamic™) for both class A and class B vessels into one service.
1,500+ moving AIS receiving stations on vessels throughout all major sea routes and HTZs..
Data is collected and updated via communications satellites every 15 minutes.
Unlocking the previously invisible data from HTZs and increasing granularity in positional data.
How Clearmetal created a machine learning engine to provide Port Alerts 31 hours faster to help optimize operations and costs.
In addition, for the ~90% of trips that do have an arrival update, there is latency in EDI data in excess of 36 hours, meaning that a ship could be at port for 1.5 days before anyone knows that it has arrived. In order to fix this pervasive problem, we applied AIS data to map the berth locations of every port in the world and triangulate that with EDI to improve our understanding of port and near-port transit.
This has increased our arrival completeness to ~96%, and has reduced our latency by 86% to ~5 hours. This creates a ripple effect on accurately predicting near-port activities like container availability, demurrage & detention, drayage, de-consolidation, and other components that impact margins, personnel efficiency, and gross revenue.
The industry has struggled with the complexity of berth level detail and visibility into when a ship is actually berthed for years. Our objective was to unravel this conundrum for our customers. We began by conducting a deep analysis of the EDI messages we receive, during which we discovered that up to 10% of ships don’t transmit an EDI message when they arrive in port. For the remaining voyages, there was on average, a 36-hour delay in identifying when a ship was at berth.
Adding to the challenge, each port in the world is different: different in how they are run, which has a dramatic effect on reporting when a ship is actually at berth vs. stopped and waiting for a berth to open up. The latency of a day and a half in predicting transport exceptions is unacceptable.
Our quest to innovate and transform supply chain visibility led us to seek out non-traditional datasets that we could use to improve our data quality. This search led us to AIS data and Spire Maritime.
EDI and AIS are complementary data sources. EDI provides context about a container, such as whether it has been unloaded from a ship, and AIS provides a more accurate location with substantially less latency.
Combining EDI and AIS to fact check each other gives us the best of both worlds. We can provide a highly accurate current position of a ship and also leverage it to fill in gaps in time that EDI always has and cannot catch up to solving. While satellite data can tell us quickly that a ship has stopped, it can’t tell us why. Knowing this our data science team devised a unique approach to identifying berth calls much earlier by using AIS data to accurately map the berths at every port around the world and fill in the missing 10% of “ship at port” EDI messages and reduce the nearly 1.5-day latency.
After dissecting the EDI data, we then analyzed over 2 billion AIS messages to define when a vessel is considered to be at a stop. Vessel speed is one of the pieces of data that is sent with every AIS message, but not all vessel stops are the same. Container vessels might stop for a number of reasons.
If we only use stops and assume a vessel is at berth if it is within a certain distance of the port, then we might interpret these “waiting” stops as berth stops, and inaccurately report that a vessel has arrived at its destination port. We observed that vessel stops are clustered very densely at berth locations, but as we move further away from ports, these stops become less clustered and more spread out. So given all vessel stops, if we can find locations where multiple vessels have stopped in the same spot, we can be confident that these are berth locations. We iterated on this idea, tuning the parameters of our unsupervised clustering algorithm until we converged on a solution. The analysis and resulting algorithm that was built to isolate the clusters revealed an incredibly accurate map of berths at ports around the world. The accuracy of this solution far surpasses the industry standard of using an arbitrary latitude longitude area around the port and triggering EDI alerts off of a ship’s location.
Understanding where every berth around the world is will lead us to further leverage our machine learning and AI on top of historical data to give berth-specific predictions:
The impact of mapping berths with AIS and combining that with EDI drives incredible value for our customers by accurately predicting near-port activities such as; container availability, demurrage & detention, drayage, deconsolidation, and other components that impact margins, personnel efficiency, and gross revenue. The industry has given up on many of these when it comes to having an accurate prediction that could be leveraged to be more strategic. Detention & Demurrage for example, which can cost millions in fees each year is often thought of as just the cost of doing business and fees are simply factored into every shipment. We’ve seen reductions in those fees of 20-50% resulting in a saving that far surpasses the cost of our visibility solution.
Using our Vessels API, you can run queries by MMSI, vessel name, call signs, AIS class type (A or B), and more.
Our Premium subscription is built for solving challenges related to vessel tracking, like route efficiency, emission planning, and raw commodity cargo estimation.
Global supply chain operators and port operators depend on accurate, relevant tracking data to monitor costs, ensure safety and drive efficiency. AIS data supports:
When investigating high-value incidents accurate position data is essential, insurers and financial professions also use AIS data to:
There are many reasons for organizations to need to survey the world’s oceans, these include:
With 90% of global trade, 16% of the world’s protein consumption and several percentage points of GDP relying on the ocean, maritime surveillance is crucial:
Spire has one of the largest data collecting, satellite constellations in the world. We combine this data with two types of AIS collection (terrestrial and Dynamic™) into one service to give you unprecedented vessel tracking capabilities. We deliver comprehensive AIS data from anywhere on Earth and our cutting-edge APIs provide predictive, better-than-real-time functionality.
Our Standard and Premium APIs let you access vessel data that we’ve cleansed (data we’ve removed the noise and redundancies from) for advanced analytics and planning. Cleansed data, through an API, is much more efficient than a raw AIS feed, which can be full of errors and difficult to integrate into applications.
“We view Spire as a long term partner and look forward to continuing to work together in order to provide our customers with the most accurate and reliable shipment data available.”
We believe in full transparency about our products and pricing details. If you’d like to learn more about using our data please review our legal page. Our offerings include a number of add-ons and can be customized to specific fleets and locations.
Get access to a number of advanced data-analytics, choose the package that suits your needs, and integrate it into your workflow in no time thanks to our easy-to-use APIs and hands-on support team.