Chokepoints
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Actively monitored maritime nodes
Strait-Signal helps operations teams see port and chokepoint stress before delays spread. Built as a standalone maritime product and endorsed by Obsidian Dynamics.
Maritime module in the Obsidian Dynamics architecture.
HERO Monitor Widget
Quick maritime pulse
Chokepoints
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Actively monitored maritime nodes
Queued Vessels
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Current queue depth across monitored nodes
Elevated Risk
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Locations currently in high or critical state
Active Alerts
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Recent disruption events awaiting review
Live Global Coverage
0 tracked ports/chokepoints
Coverage Matrix
Hotspots
Global Command Deck
0 tracked locations monitored live
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Chokepoints tracked
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Vessels queued
0
Elevated risk
< 15m
Data freshness
Every major maritime disruption follows a pattern: queue buildup, dwell time spike, then cascade. StraitSignal detects the leading indicators.
Mar 2021
Before the grounding, anchorage queue at Suez had risen 34% over 48 hours due to weather and scheduling. Our anomaly detector would have flagged elevated risk 12+ hours before the blockage.
Nov 2023
Bab el-Mandeb transit counts dropped 62% in 3 weeks. Singapore anchorage queues surged as rerouted vessels converged. Queue delta alerts would have fired within the first 48 hours.
Oct 2023
Gatun Lake levels dropped steadily for 3 months. Daily slot counts fell from 36 to 22. Dwell time P90 increased 180%. Baseline deviation alerts would have triggered at the 7-day mark.
Mar 2024
Port of Baltimore fully closed for weeks. Container diverts surged to Norfolk and Savannah, spiking their queue counts 40%+. Cross-port congestion cascade -- visible in queue data within hours.
72%
of Asia-Europe cargo
transits the Suez Canal or Bab el-Mandeb. Houthi attacks since late 2023 have forced vessels around the Cape -- adding 10-14 days and $1M+ in fuel per voyage.
36%
draft reduction
at the Panama Canal during the 2023-24 drought. Booking slots were auctioned for $4M+. Container lines had to re-route or lighten-load.
5.2 days
avg. anchorage wait spike
at Singapore Strait during peak rerouting. Queue buildup cascades into port congestion, berth delays, and missed connections -- all invisible until it's too late.
We turn raw vessel positioning data into actionable disruption intelligence -- continuously, automatically.
STEP 01
We pull live vessel positions from AIS networks across every major chokepoint and anchorage zone, every 15 minutes.
STEP 02
Queue counts, median wait times, and dwell durations are compared against 7-day, 30-day, 90-day, and 365-day baselines.
STEP 03
When metrics deviate from historical norms -- factoring in weather, seasonal patterns, and known events -- we flag it.
STEP 04
Disruption alerts fire via webhook, email, or dashboard. Route risk scores update to reflect real-time chokepoint conditions.
Raw AIS feeds are noise. We extract the signal.
Not just 'how many ships' -- we track queue growth rate, time-in-queue distributions, and compare against seasonal norms. You'll see a 40-vessel Suez pileup forming before the market notices.
Is a 12-hour wait at Singapore Strait normal? In February, yes. In August, that's 2x the 90-day baseline. Context turns a number into intelligence.
Configurable alerts when dwell time, queue depth, or anomaly score crosses your threshold. Delivered via webhook to Slack, Teams, email, or your TMS.
Monsoon season in Malacca? Fog in the English Channel? Weather data is overlaid so you can separate signal from noise when delays spike.
Score any origin-destination pair (e.g. SGSIN to NLRTM) by the chokepoints it transits. A Shanghai-to-Rotterdam shipment scores higher risk when Red Sea disruption forces the Cape route.
JSON API with webhook delivery. Embed disruption intelligence directly into your TMS, control tower, or freight procurement workflow.
If a chokepoint disruption can blow up your transit time, cost model, or customer commitment -- this is for you.
“Rerouting decisions made too late. Clients asking about delays before you know about them.”
Early warning on queue buildup + route risk scores to justify rerouting decisions proactively.
“Carrier ETAs are unreliable when chokepoints degrade. No visibility until the vessel is already delayed.”
Monitor the chokepoints your cargo transits. Know when a 2-day delay is forming, not after it hits.
“Pricing models assume normal transit. Disruptions create exposure you can't see in a spreadsheet.”
Real-time chokepoint risk as an input to your pricing and hedging models.
“Writing risk assessments with stale data. Clients expect forward-looking analysis.”
Historical baselines + live anomaly detection = data-backed intelligence briefs for your clients.
Every recommendation can be backed by a sample alert payload, a replay trace, and a weekly intelligence brief.
Sample Alert
SGSIN queue +46% vs 30-day baseline, confidence 0.84, escalation window 6-12h.
Sample Replay
48-hour replay showing queue acceleration before published disruption headlines.
Weekly Brief
Top corridors by stress delta, key drivers, and operational recommendation summary.
Free pilot for freight forwarders, BCOs, and logistics consultancies with ocean-exposed supply chains. No credit card required.