who we are

Empowering logistics leaders to run on data, not gut feel

We live and breathe supply-chain data. 15 data scientists, 9 maritime analysts and 6 cloud-certified engineers work side-by-side to build predictive ETA engines, carbon-intensity trackers and dynamic freight-pricing models for the world’s largest carriers, 3PLs and port authorities.

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Years of expriences
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Countries with live deployments
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Data engineers & domain experts
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TEU-miles of cargo tracked
Our vision

Empowering data driven decision making

Make every container, chassis and charter decision data-driven before the anchor hits the seabed.

Mission

We build maritime-grade analytics that turn raw voyage, fuel and port-event data into actionable insights.


Our mission is to give carriers, 3PLs and port authorities the confidence to act—cutting cost, carbon and congestion—before problems become invoices.

History

2012 – Born in a NVOCC back-office
Two ex-Maersk planners and a naval architect start crunching AIS files on a single GPU to answer one question: “Can we predict berth congestion?”
 
2014 – First paying terminal
Piraeus Container Terminal adopts our 72-hour berth forecast; average idle time drops 11 %.
 
2017 – Global expansion
Offices in Singapore and Charleston SC opened; data lake surpasses 5 B AIS position records.
 
2020 – Carbon module launch
ISO 14083-compliant emissions engine ships with top-5 carrier; used for EU-MRV reporting.
 
2023 – 1,240+ projects delivered
From barge operators to mega-carriers, we now track 31 B TEU-miles every quarter and still answer the phone in two rings.
meet our expert team

Meet the brilliant minds behind our data driven solutions

Sabnani A. Arjan

Chief Maritime Data Officer (CMDO)

Eric Khoo

VP, Global Port & Terminal Partnerships

Lyhour Huon

Head of Predictive Fleet Analytics

Bayu Pramono

Director, ESG & Carbon Products

SG ANALYTICS

From port to porch, we turn billions of GPS pings, fuel tickets and ETA events into live dashboards that shave hours off dwell time and dollars off cost-per-mile.

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