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DATENNA OSINT PLATFORM

The intelligence gap on China
is an open-source problem.

China's corporate, defence, and technology networks are documented in public sources. The problem is that those sources are in Chinese, spread across hundreds of government websites, and exist at a scale no analyst team can get through manually. Datenna is the platform built to turn that public record into assessments your analysts can actually brief upward.

50M+Chinese entities
1B+Data points
6.5M+Procurement records
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THE OSINT ADVANTAGE

Intelligence that can be shared, cited, and acted on.

Classified sources have their place. But OSINT-derived intelligence travels further and holds up better when decisions need to be documented and explained. It does not matter whether the question is who these Chinese entities are and what they are connected to, or how fast China is advancing in a specific technology area. OSINT is the only method that produces an answer you can share with an ally, present to a regulator, and revisit in six months without it becoming a liability.

Shareable across allies

Assessments produced from OSINT can be briefed upward, shared with partner nations, and used in public policy decisions. There are no classification barriers and no SCIF requirements.

Defensible evidence

Every record carries full provenance and an audit trail. Regulators and oversight bodies get the documentation that classified sources cannot provide.

Scalable screening

Datenna can screen thousands of entities simultaneously. That matters because China's corporate and defence ecosystem operates at a scale that individual analyst teams simply cannot match.

Continuous monitoring

Ownership changes, procurement activity, sanctions updates, leadership movements. These are tracked continuously. There is no point-in-time snapshot that goes stale the week after it is published.

CHINA-SPECIFIC

Generic data tools were not built for China.

Western screening tools were designed for transparent, English-language corporate environments. China is neither. The result is missed connections, false confidence, and decisions made on information that looks complete but is not.

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Thousands of fragmented sources

Registries, patent databases, and procurement portals span hundreds of provincial government websites, each with different formats, different access requirements, and no interoperability between them.

Mandarin-native ambiguity

Hundreds of Chinese entities share near-identical names. Without native-language AI, entity resolution produces false matches or misses connections that matter.

Opacity by design

State and military connections are buried behind layers of holding companies and nominee shareholders. You often have to trace through three or four layers before the real connection appears. Anyone doing first-layer analysis is not seeing the full picture.

No central registry

There is no Chinese equivalent of SEC EDGAR or Companies House. Getting comprehensive coverage means collecting directly from original sources. That is exactly what Datenna does.

HOW IT WORKS

From fragmented sources to finished intelligence.

China's corporate data does not arrive pre-organised. It has to be found, resolved, connected, and assessed before it becomes useful. Datenna does this continuously, across thousands of Chinese-language sources, following a structured intelligence lifecycle called QRight. Every entity record in the platform has passed through this process. Every label is traceable to its source.

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Datenna's own scraper infrastructure collects continuously from hundreds of Chinese registries, procurement portals, patent databases, and government websites. There are no intermediaries and no third-party data vendors sitting between Datenna and the original source.

No outbound traffic to China. No dependency on Chinese data providers.

INSIDE THE PLATFORM

The intelligence your decisions depend on.

Datenna continuously collects, resolves, and enriches data from thousands of Chinese-language sources, turning fragmented open-source records into structured intelligence that analysts can actually use.

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DATENNA Q

Data alone does not produce intelligence. Q does.

Most OSINT platforms give analysts a better organised pile of data. Datenna Q goes further. It is the AI intelligence layer built directly on our QRight dataset, making 50 million entity records queryable in plain language, explainable by evidence chain, and continuously scored for what is actually significant.

Natural language querying

Query the full dataset in plain language. No Boolean operators, no knowledge of the underlying schema required.

Evidence chains

Every answer Q produces includes the source records, provenance, and confidence level behind it. Analysts can interrogate the reasoning, not just accept the output.

Significance scoring

Q scores entities not just for what they are but for how they are changing. Burst activity, procurement transitions, talent movements, and opacity shifts combine into a single signal that surfaces what matters before it becomes obvious.

Meet Datenna Q
Q
Datenna Q
Live
Which Chinese entities in autonomous underwater vehicles have moved from R&D procurement into production contracts in the last 12 months?
Q
Datenna Q
Found 3 entities matching a procurement lifecycle transition from R&D to production in autonomous underwater vehicles over the last 12 months. Ranked by significance score.
01Tianjin Submarine Technology Co.MCF91
02CSIC Subsea Systems InstituteSOE84
03Shenyang Marine ElectronicsDEF76
6.5M+ procurement records
QRight lifecycle
Full provenance available
Ask Q anything about China's defence-industrial base...

Illustrative example. Entity names and scores shown for demonstration purposes.

OUTCOMES

What changes when OSINT is done properly.

One analyst with Datenna can do the work of five.

Government teams stop using analysts to find things and start using them to think about things. No additional headcount required.

Months to minutes.

What used to take weeks now takes an afternoon.

Entity assessments that used to take days now take minutes. Every finding comes with full source attribution and an evidence chain that holds up to regulatory scrutiny.

Never been caught.

Entities flagged that would never have been caught.

Multi-layer ownership analysis and procurement network mapping surface connections that first-layer screening tools were never built to find.