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Dataset Discovery · Dataset Search · Custom Datasets · Database Services · AI Agent Customization

Turn scattered data
into usable value.

The data you need is often distributed across government portals, statistical agencies, international organizations, academic databases and other public sources.

DeepSData helps you discover data, verify whether it can be obtained and whether it is suitable for use, and prepare it as a deliverable.When existing public data cannot fully meet the need, we can continue with custom preparation based on specific requirements and further build a thematic database or a dedicated AI agent.

Quick access

Reach common functions in one step

01Complete Dataset LibraryBrowse all published dataset reference cards. 02Data-finding GuidesLearn common data sources, access routes and conditions of use. 03Delivery ExamplesReview real requirements, processing approaches and delivery outcomes. 04Custom DatasetsLearn about feasibility assessment, sample confirmation, preparation and acceptance.

Five core capabilities

From discovering data to building long-term usable data capability

Dataset Discovery

Understand existing data before deciding whether it is suitable for use

Use the dataset library and data-finding guides to understand data types, sources, content, access methods, conditions of use and suitable scenarios.

Dataset route

Use reference cards to understand data quickly

The complete dataset library shows source organization, licence conditions, time and geography, scale, field structure, file format, access route, suitable scenarios and verification status. Reference cards are collected in one database for browsing, comparison and search.

Reference cards support data discovery, comparison and selection. Whether data can be used directly for research, model training or production still depends on the original files and the specific task.

Open the complete dataset library
Guide route

Find data sources from the actual question

Data-finding guides explain where relevant data is commonly found, which public access routes exist, whether application or authorization is needed, and the common gaps and initial feasibility.

Useful before topic selection, project proposals, technical planning or data procurement to judge whether data can be obtained, whether it can meet the need and what is still missing.

View data-finding guides

Why DeepSData

Every step makes the basis, limits and next step clear

We do not treat a stack of links as a search result or present unverified information as a certain conclusion.

01

Source-grounded search

Show only data candidates and sources that were actually found; do not manufacture matches.

02

Condition-by-condition assessment

Explain which required conditions are met, close, unsuitable or still unconfirmed.

03

Clear provenance

When licences, fields, quantities or access conditions cannot be verified, state that clearly rather than substituting speculation for fact.

04

Deliverables that can be accepted

Search reports, data files, field notes and processing definitions are delivered as agreed and can be checked against clear standards.

Project services

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Real user feedback

Feedback from individuals whose service projects were completed

These comments come from completed data-service projects and have been anonymized.

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All real user feedback

Start a consultation

Not sure where to begin?

Tell Xiaoju about the research direction, task objective and data requirements. Xiaoju will first help structure the need, then suggest whether to begin with dataset discovery, dataset search, custom datasets, database services or AI-agent customization.

Structure the need with Xiaoju Submit a formal project request