Demo
4,200+ sources3.1M events / day

Real-world intelligence.
Delivered at the edge.

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
1.4s

Event to delivery, median

Countries covered
190+

Countries covered

Decision-grade insights daily
87k+

Decision-grade insights daily

Integrates with

SnowflakeDatabricksAWSMicrosoft AzureGoogle CloudOracleKubernetes

The gap between an event and everyone knowing is where the edge lives.

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.

  1. t+0ms

    Event happens

    A filing posts, a ship docks, a plant lights up, a price prints somewhere in the world.

  2. t+240ms

    Heard at the edge

    The nearest edge node is already listening, and timestamps the event before it propagates anywhere.

  3. 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.

  4. 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.

  5. t+4min

    The tape catches up

    By the time it is public, the move you were paid for has already happened.

One network. Two very different reasons to want it.

Hedge funds & quant desks

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.

  • Low-latency event and alternative-data streams
  • Satellite and global-source coverage with clean lineage
  • Backtest-ready history alongside the live stream
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AI & ML teams

Large, fresh, high-signal real-world datasets to train and ground models - continuously refreshed, structured, and documented so your pipeline consumes it directly.

  • High-volume, continuously refreshed training data
  • Structured, labeled, and deduplicated in flight
  • Streaming and bulk delivery to your data plane
Book a demo

Four stages between the world and your decision.

EdgeOrigin owns the whole path - listening, enrichment, evaluation, and delivery. Nothing in the middle is third-party data we resell.

Listen to real-time events globally

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.

Satellite and hard-to-reach data

Overhead imagery and sources nobody else bothers with become structured observations, so you see the ground truth behind the headline instead of the headline.

Intelligence evaluation, in flight

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.

Delivered at edge speed

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.

Our own edge, everywhere it needs to be.

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.

Edge networkall nodes nominal
Countries
190+

Countries

Live sources
4,200+

Live sources

Median node hop
38ms

Median node hop

Events / day
3.1M

Events / day

Arriving nowlatency / urgency
Advanced-node fab steps up utilizationHsinchu210ms0.95
Data center campus files for grid interconnectNorthern Virginia340ms0.91
Rare earth concentrate clears portWestern Australia1.1s0.84
Reactor back to full output ahead of scheduleNormandy260ms0.89
Robot line commissioned at battery plantUlsan870ms0.77
Launch window confirmed for constellation batchCape Canaveral150ms0.92
Block print clears above session rangeTokyo90ms0.83
Grid draw jumps at lithium processing siteAtacama660ms0.79
Subsea cable landing enters serviceGujarat420ms0.81
Regulator posts export-control noticeWashington240ms0.97
Advanced-node fab steps up utilizationHsinchu210ms0.95
Data center campus files for grid interconnectNorthern Virginia340ms0.91
Rare earth concentrate clears portWestern Australia1.1s0.84
Reactor back to full output ahead of scheduleNormandy260ms0.89
Robot line commissioned at battery plantUlsan870ms0.77
Launch window confirmed for constellation batchCape Canaveral150ms0.92
Block print clears above session rangeTokyo90ms0.83
Grid draw jumps at lithium processing siteAtacama660ms0.79
Subsea cable landing enters serviceGujarat420ms0.81
Regulator posts export-control noticeWashington240ms0.97
AI & computeData centersChips & fabsNuclear & SMRsEnergy & gridCritical mineralsSpace & satellitesNetworks & commsIndustry & roboticsMarketsFilings & disclosureConflict & hazards

Listen. Evaluate. Deliver.

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

01

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 today

Evaluate

Intelligence evaluation, in flight

02

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: 0.91
urgency: 0.88
authenticity: 0.99
data_quality: 0.96
duplicates_removed: 4

Deliver

On your stream

03

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: 1420
egress_node: "lon-01"
transport: "tls1.3+ml-kem-768"
provenance: "sin-03/raw"

All data is post-quantum encrypted.

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 works
Intercepted today, opened years lateridentical capture
Classic TLS encryptionx25519
9f2a71c4 8de0b35a c17f9042 2b6ed88c 4a10f7beSUB facility=SG-PSA-T4 urgency>0.80 since=06:02:11Z

Recorded in 2026. Readable the moment a quantum computer arrives.

EdgeOrigin post-quantum encryptionx25519mlkem768
e07b31da 5c94f2a8 b1d6038e 77af2c50 3e8b9d16

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.

Real-time data, at edge speed.

A live evaluation measures EdgeOrigin against your coverage requirements: decision-ready real-time data, delivery latency into your systems, and record-level provenance.