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/Index/Quartermaster AI Inc/A crowd-sourced, sensorised-vessel ocean observation network
QA

A crowd-sourced, sensorised-vessel ocean observation network

QUARTERMASTER AI INCA5 · direct accessManage supplier listing

A crowd-sourced, sensorised-vessel ocean observation network: camera plus software-defined-radio telemetry mounted on civilian and commercial vessel masts, producing open-ocean video and radio-frequency observations where satellites and shore AIS receivers have blind spots. Concretely: geotagged 360° HD day/night video of vessel encounters, independently-received AIS/ADS-B/VHF/radar signals with source localisation (i.e. an opportunity to check a vessel's broadcast against what was actually observed), onboard AI detections and activity classifications, all time-synchronised and streamed at sub-5-second latency across 650+ vessels in 25 countries.

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Quartermaster AI Inc/A crowd-sourced, sensorised-vessel ocean observation network
SampleCoverage

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Coverage

Universe, instruments and categories.

Industry
Defense & ElectronicsFinancial Exchanges & Data
Instruments
equities
Categories
Alternative
Geospatial
Sentiment
Supply Chain
Regions
USEuropeUKOtherChina/HK
Sample tickers
LMTNOCC.LAXA.PAMMCBRK-B.NZIMAMPV3.SIOCEIL.OL
Dataset card
Type
not stated
Format
Multimodal — HD day/night video streams and frames (360°, 31x zoom), RF/radio captures (AIS, ADS-B, VHF, radar) with bearing/localisation, onboard AI detection records, all timestamped; delivered as near-real-time feeds plus retained evidence-grade records
Volume
Very large: 650+ continuously sensing masts each streaming HD video plus radio captures at sub-5-second latency. Even at conservative duty-cycling this is petabytes-per-year class raw video; retained event-level records (AI detections and verified incidents) are the tractable subset. Exact retention window and duty cycle not disclosed — request further research on stored-hours vs streaming-only.
Users
N/A in consumer terms — participation is vessel-based: 650+ vessels enrolled in 25 countries (800+ units shipped), per the Series B coverage
History
3 years
Update frequency
not stated
Growth
Active — high-growth. $140M raised ($100M Series B led by Insight Partners plus $40M debt), with use of funds explicitly to accelerate engineering hiring and add vessels in busy fishing grounds and shipping lanes. Publicly tracked deployment target is 5,000 vessels by year-end against 650+ today, and an open careers channel is live.
Launched
est. 2023-2024 — bounded by the Series B timeline (a 650-vessel installed base and 800+ units shipped precedes a B round) and a corporate copyright of 2026 on the current site; no explicit founding or launch date is published
Delivery
not stated
Entity mapping
not stated
Sample
not stated
Point-in-time
not stated
Licence
not stated

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Quartermaster AI Inc has not added their own details yet. Not yet on file:

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