EdgeOrigin detects real-world events across its global edge network, verifies urgency, authenticity, and data quality in real time, and delivers decision-ready intelligence from the edge location nearest your systems.
Event to delivery, median
Countries covered
Decision-grade insights daily
Integrates with






Most data products sell you the same information the market already has, a little more neatly formatted. EdgeOrigin sells the interval before that - and owns the edge network end to end that makes the interval possible.
t+0ms
Event happens
A filing posts, a ship docks, a plant lights up, a price prints somewhere in the world.
t+240ms
Heard at the edge
The nearest edge node is already listening, and timestamps the event before it propagates anywhere.
t+900ms
Intelligence evaluation
Our machine learning models structure it, resolve entities, remove duplicates, and evaluate urgency, authenticity, and data quality in flight - noise never reaches you.
t+1.4s
Delivered from your nearest edge
Our edge network hands it to your systems from the point of presence closest to them, over post-quantum encrypted transport, with full provenance attached.
t+4min
The tape catches up
By the time it is public, the move you were paid for has already happened.
t+0ms
Event happens
A filing posts, a ship docks, a plant lights up, a price prints somewhere in the world.
t+240ms
Heard at the edge
The nearest edge node is already listening, and timestamps the event before it propagates anywhere.
t+900ms
Intelligence evaluation
Our machine learning models structure it, resolve entities, remove duplicates, and evaluate urgency, authenticity, and data quality in flight - noise never reaches you.
t+1.4s
Delivered from your nearest edge
Our edge network hands it to your systems from the point of presence closest to them, over post-quantum encrypted transport, with full provenance attached.
t+4min
The tape catches up
By the time it is public, the move you were paid for has already happened.
Real-time, ground-truth signal and alternative data for trading - the edge of an event delivered before it clears the tape, with the provenance a research desk can trust.
Large, fresh, high-signal real-world datasets to train and ground models - continuously refreshed, structured, and documented so your pipeline consumes it directly.
EdgeOrigin owns the whole path - listening, enrichment, evaluation, and delivery. Nothing in the middle is third-party data we resell.
Our edge nodes sit where events surface - filings, markets, wires, industry and public sources - and are already listening, so an event is timestamped the moment it happens rather than found afterwards.
Overhead imagery and sources nobody else bothers with become structured observations, so you see the ground truth behind the headline instead of the headline.
Our machine learning models resolve entities, remove duplicates, and evaluate every event for urgency, authenticity, and data quality before it leaves the network. You receive the verified records that move a decision, rather than unfiltered data that requires a separate team to process.
Our edge network serves every record from the point of presence nearest your systems, streamed or pulled through one interface, over post-quantum encrypted transport, with provenance on each one - so a research desk can defend the trade and compliance can trace it.
EdgeOrigin operates its own global edge network rather than renting reach from a data vendor. Nodes sit close to where events originate and close to where our clients run, so the distance an observation travels is measured in milliseconds and every hop is ours to account for.
Countries
Live sources
Median node hop
Events / day
One event, all the way through. The same record at each stage: heard by an edge node, evaluated by our machine learning models for urgency, authenticity, and data quality, then served from the edge nearest you.
Listen
Heard at the edge
The nearest edge node is already listening on this source, and timestamps the event the moment it happens.
// port authority bulletin, node sin-03"Berth 4 occupancy 91% as of 14:02 SGT"// unstructured, unverified, one of 3.1M todayEvaluate
Intelligence evaluation, in flight
Our machine learning models parse it, resolve the entities, remove duplicates against everything else arriving, and judge how urgent it is, whether it is authentic, and how far to trust it.
event: "berth_occupancy"facility: "SG-PSA-T4"value: 0.91urgency: 0.88authenticity: 0.99data_quality: 0.96duplicates_removed: 4Deliver
On your stream
Our edge network serves it from the point of presence nearest your systems over post-quantum encrypted transport, lineage attached, so the desk can act on it and compliance can trace it.
observed_at: "06:02:11.340Z"delivered_at: "06:02:12.760Z"latency_ms: 1420egress_node: "lon-01"transport: "tls1.3+ml-kem-768"provenance: "sin-03/raw"Every connection - node to network, network to you - negotiates a hybrid post-quantum key exchange. It matters because of harvest now, decrypt later: traffic recorded today is cheap to store and readable the moment the mathematics gives way. What leaks then is not only the records but what you subscribe to and when your interest began, which is the position itself.
How the transport worksRecorded in 2026. Readable the moment a quantum computer arrives.
Recorded in 2026. Still encrypted the moment a quantum computer arrives.
Same capture, same adversary, same decade. The only difference is which key exchange the session negotiated on the day it happened.
A live evaluation measures EdgeOrigin against your coverage requirements: decision-ready real-time data, delivery latency into your systems, and record-level provenance.