Products · Data Services

Data Services
End-to-end data that drives business growth

From annotation to labeling, marketing scores to high-potential mining — one-stop data capabilities for AI training and business growth.

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2000+Brand clients served
≥99%Annotation accuracy
15+ yrsData service track record
100M+Audience feature coverage
Data Services · Capability Matrix
Data AnnotationMultimodal
High-Potential Audience MiningAI-powered
Joint ModelingPrivacy computing
Marketing ScoringPrecision reach
Fintech Risk ControlReal-time risk
Data Labeling800+ labels
≥99%Annotation accuracy
15+ yrsService experience
Data Annotation

Human–AI annotation, high quality at scale

High-quality multimodal annotation for AI training. Expert annotators plus AI assistance cover image, text, audio, and video, with multi-round QA ensuring 99%+ accuracy and delivery of tens of billions of labeled samples.

  • Annotation types — Image, text, video, point cloud, and other multimodal data
  • Annotation workflow — AI pre-labeling + expert QA, pass rate ≥99%
  • Standards — TalkingData co-authored the group standard Technical Requirements for Large Model Data Annotation
  • Quality assurance — End-to-end data lineage for traceable, auditable results
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Annotation workflow
1
Data collection
2
QA grading
3
Expert annotation
4
AI assistance
5
Multi-round review
6
Delivery & archive
≥99%Accuracy
High-Potential Audience Mining

AI that finds high-value potential users

Using hundred-million-scale behavior data and deep learning, precisely identify high-value prospects with multi-dimensional scoring on spending power, intent, and conversion probability to drive acquisition and growth.

  • Multi-feature fusion — Blend 2000+ behavior, attribute, and spend features
  • Models that refresh — T+1 data refresh with continuous model iteration
  • Explainable output — Audience profiles and segment rationale for decisions
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Audience mining model
High-value potential users92
Interest–intent match85
Spending-power assessment78
Conversion probability88
Performance lift
3.2xConversion uplift
-40%Acquisition cost
Joint Modeling

Data stays local; joint modeling scales

With federated learning and secure multi-party computation, parties train together under privacy protection — unlocking cross-domain value without exposing raw data.

  • Data never leaves — Local encrypted storage and encrypted gradient exchange
  • Multi-party collaboration — Support 2–10 parties with flexible contribution weights
  • Verifiable outcomes — Model evaluation reports quantify joint gains
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Joint modeling architecture
Enterprise A dataLocal encryption
Enterprise B dataLocal encryption
Privacy compute layerFederated learning / Secure MPC
Joint modelData stays local; models are shared
Marketing Scoring

Score user conversion potential precisely

Fine-grained marketing score models from massive behavior data — spending power, engagement, brand preference — to pinpoint high-potential users and lift marketing ROI.

  • Multi-dimensional scores — Spending power, engagement, intent strength, brand preference
  • Dynamic updates — Scores refresh with behavior for timely outreach
  • Omnichannel fit — DSP, e-commerce, private traffic, and more
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Marketing value score
80Marketing score
A+Spending power
HighEngagement
StrongConversion intent
Fintech Risk Control

Credit assessment & multi-dimensional risk

Multi-signal risk covering device risk, behavior anomalies, relationship graphs, and credit history — real-time identification for 100+ banks, consumer finance, and Fintech firms.

  • Real-time response — Millisecond decisions for high-concurrency scoring
  • Multi-dimensional risk profile — Device, behavior, and network signals jointly scored
  • Continuous adversarial learning — Evolve against fraud rings; refresh blacklists in real time
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Real-time risk assessment
Device riskLow
Behavior anomalyMedium
Relationship graphLow
Credit historyExcellent
ApprovedComposite risk score: 22/100
Data Labeling

Multi-dimensional labels that unlock data value

Professional labeling on TalkingData’s data ecosystem — demographics, interests, consumption, life scenarios — for fine segmentation, personalized ops, and growing data assets.

  • Label scale — 800+ labels across 6 categories
  • Label dimensions — Attributes, interests, product preference, offline scenarios, and more
  • Label capability — Multi-level cross combinations for fine target audiences
  • Label applications — Profiles, precision marketing, personalized recommendations
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Label system examples
High-net-worth users2.8M
Price sensitive120M
Brand preference4.5M
Spending potential38M
Interest communities200+ types

Covering 800+ fine-grained user labels

Contact us for a demo and trial

Phone

400-870-1230

Official Email

support@talkingdata.com

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  1. Tel

    400-870-1230
  2. Email

    support@tendcloud.com
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