About ATRACAI

AUTONOMOUS
MARITIME INTELLIGENCE

We build AI that makes ports predictable. No hardware installation. No port integration. Just AIS data, machine learning, and autonomous agents working 24/7.

Every year, ships waste billions of dollars and emit millions of tonnes of CO2 waiting at anchor for a berth. ATRACAI makes that wait predictable — enabling just-in-time arrivals that cut fuel, emissions, and costs.
By the Numbers
21
Ports Monitored
6
Vessel Type Models
4
Autonomous Agents
24/7
Continuous Operation
What Makes Us Different
Zero Integration Required
We don't need access to port systems, terminal operators, or vessel agents. Our predictions are built entirely from publicly available AIS data — the same signals every commercial vessel broadcasts by law. Deploy on any port in the world, instantly.
Self-Improving Models
Four autonomous ML agents continuously validate predictions against actual outcomes, retrain underperforming models, test challengers in shadow mode, and promote winners. The system gets better every day without human intervention.
Type-Specific Intelligence
A bulk carrier queuing for a grain terminal behaves nothing like a passenger vessel heading to a cruise berth. We train separate models per vessel type, capturing the distinct operational patterns of each category.
AIS Sees More Than Port Authorities
Our analysis shows AIS detects 76% more berthed vessels than port authority websites. Bulk carriers have 0% visibility on port scrapers. AIS is the ground truth — we build on truth, not administrative records.
Sustainability & SDG Alignment
13
Climate Action
JIT arrivals enable slow-steaming, reducing fuel consumption and CO2 emissions by up to 14% per voyage.
9
Industry & Infrastructure
ML-driven port intelligence optimizes berth allocation and reduces congestion at critical infrastructure.
12
Responsible Consumption
Quantile predictions enable optimal speed profiles, reducing energy waste in the maritime supply chain.
14
Life Below Water
Reduced anchorage time minimizes underwater noise pollution and anchor damage to seabed habitats.
Environmental Impact
CO2
Emissions Reduction
Just-in-time arrivals allow vessels to slow-steam instead of racing to wait at anchor. A 10% speed reduction yields ~27% fuel savings due to the cubic relationship between speed and fuel consumption.
SOx
Air Quality at Ports
Fewer vessels idling at anchor means less SOx, NOx, and particulate matter in port communities — many of which are densely populated urban areas.
dB
Underwater Noise
Reduced anchorage time means less propeller cavitation and machinery noise, protecting marine mammals that rely on acoustic communication.
$
Economic Efficiency
A large container vessel burns $30,000-$80,000/day in fuel. Every hour saved at anchor is direct cost savings for operators and, ultimately, consumers.
Ready to See the Data?
21 ports. Real-time predictions. Autonomous ML.
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