“Into the unknown …”
DeepSeek is an AI assistant and a model/API platform from Hangzhou DeepSeek Artificial Intelligence Co., Ltd.. Officially, DeepSeek promotes its chat for coding, content creation, file reading, and long-context conversations; the app additionally lists web search, deep-think, file upload, and text extraction. For developers, there is an OpenAI-compatible API with chat/reasoning models as well as features such as function calling, JSON output, and thinking mode.
DeepSeek
Into the unknown … Free access to DeepSeek. Experience the intelligent model
Location: China ⓘ In the accessible official English sources, DeepSeek does mention Hangzhou DeepSeek Artificial Intelligence Co., Ltd. and a registered address in China, but no fully verifiable postal business address.
Target audience
DeepSeek is aimed at two main groups: first, end users looking for a free AI chat tool for research, writing, file reading, and coding support, and second, developers/teams who want to integrate affordable LLM functionality via API. The tool is particularly well suited for technically oriented users, developers, indie hackers, start-ups, and cost-conscious teams that place high value on API costs, proximity to open source, and compatibility with existing SDKs.
Outstanding features
The strongest officially documented features are Web Search/Internet Search, Deep-Think/Thinking Mode, file upload with text extraction, long-context dialogues, OpenAI-compatible API usage, Anthropic API compatibility, function calling, JSON output, and context caching. For API use, it is also relevant that DeepSeek combines Thinking Mode and tool use and has explicitly evolved as “reasoning-first” for agentic use.
Key application areas
DeepSeek is strongest where reasoning, coding, document-based work, structured API outputs, and affordable model integration matter. Official sources particularly support use for coding, content creation, file reading, internet research, long-context questions, tool/workflow integration, and structured outputs. Specialized business verticals such as accounting, CRM, or design production, on the other hand, are documented less clearly.
Usage & notes
For daily use, DeepSeek has a low barrier to entry because the web/app versions are free. For production integrations, the API is attractive because it is inexpensive, works with familiar SDKs, and does not document traditional tier plans. The central caveat, however, is data protection: the official cloud processes data in China, user content may be used to improve the technology, and European data protection authorities have already taken concrete measures against the service. For sensitive corporate data, caution is therefore advised, or a separate evaluation of a self-hosted open-source setup should be considered.
| Who is it suitable for? | Assessment & rationale |
|---|---|
| Private individuals | Conditionally suitable – good for general chat, coding, translation, and reasoning tasks; however, not ideal for sensitive personal data due to data protection and data location issues. DeepSeek states that it collects user inputs, chat histories, and uploaded content and processes and stores personal data directly in the People’s Republic of China. |
| Self-employed / freelancers | Suitable – especially for coding, text work, research preparation, automations, and API-adjacent workflows. Particularly fitting use cases are programming / software development, automations / workflows, data analysis, texts / content, and API integration. |
| Developers / software teams | Very suitable – according to the official documentation, the DeepSeek API is compatible with OpenAI and Anthropic API formats, which means existing SDKs or tools can often be connected relatively easily. |
| SaaS startups & product teams | Very suitable – useful for AI features in their own products, e.g. chatbots, coding assistants, agents, structured JSON outputs, tool calls, and automated workflows. According to the API documentation, the current models deepseek-v4-flash and deepseek-v4-pro support, among other things, JSON output, tool calls, Thinking/Non-Thinking mode, and a very large context window. |
| SMEs with technical resources | Suitable – especially if AI is to be integrated cost-effectively into internal processes via API, for example for document analysis, support, knowledge management, code assistance, or automations. Billing is token-based according to input and output tokens. |
| Large enterprises / regulated industries | Conditionally suitable – technically strong, but critical to review for GDPR, compliance, or confidentiality requirements because, according to its Privacy Policy, DeepSeek processes data in China and the services are not intended for sensitive personal data. |
| Privacy-conscious EU companies | Rather unsuitable to only suitable after review – special caution is required for personal, confidential, or regulated data; the technical performance is a positive, while the data location, data categories, and possible training/optimization purposes within the corporate group are negatives. |
Hosting & Data
1) On-prem / local hosting
Meaning: The company operates the solution on its own hardware or within its own infrastructure. In the strictest sense, not only the application runs locally, but ideally the model as well.
2) Private cloud / data center
Meaning: The solution runs in a dedicated or more clearly separated cloud environment, often with a hosting provider or hyperscaler, but in a German data center or in a particularly controlled environment.
3) EU SaaS / managed
Meaning: The provider operates the solution itself as a service. The company uses the tool as a ready-made cloud service, ideally with EU data residency.
4) Hybrid
Meaning: One part of the processing remains internal / local / in a private cloud, while another part runs in an external cloud or EU SaaS.
5) AVV / DPA
Meaning: This is the data processing agreement or Data Processing Addendum. It governs that the provider processes personal data on behalf of the customer and is bound by the customer's instructions.
6) No training
Meaning: The provider does not use your prompts, uploads, attachments, chat histories, or outputs for training or improving the general model — ideally excluded by contract.
7) Open-source / transparency path
Meaning: There is a path toward greater technical transparency and sovereignty, for example through:
- open models
- documented components
- self-hostable parts
- traceable architecture
- export / switching options
| On-prem / local hosting | ⚠️ |
| Private cloud / data center | ⚠️ |
| EU SaaS / Managed | ❓ |
| Hybrid | ⚠️ |
| DPA / AVV | ❓ |
| No training on customer data | ⚠️ |
| Open source / transparency path | ✅ |
For GDPR-sensitive organizations, direct use of DeepSeek via web/app/API is not recommended. DeepSeek is more suitable via self-hosting, ideally in an EU data center, private cloud, or on-premises with its own logging, deletion, access rights, and security architecture. For personal, confidential, or regulated data, the DeepSeek cloud should be avoided.
Conclusion:
From a GDPR perspective, DeepSeek is significantly more critical in direct cloud/app/API use than ChatGPT Enterprise, Gemini Workspace/Vertex, Claude Enterprise/API, or Perplexity Enterprise/API, because DeepSeek itself names China as the place of processing and storage, and there is no reliable public DPA/AVV or proof of EU data residency. The sensible GDPR-compliant option is not the DeepSeek cloud, but rather a self-hosted DeepSeek model in a controlled EU/on-prem/private cloud infrastructure.
| On-prem / local hosting | ⚠️ |
| Private cloud / data center | ⚠️ |
| EU SaaS / Managed | ❓ |
| Hybrid | ⚠️ |
| DPA / AVV | ❓ |
| No training on customer data | ⚠️ |
| Open source / transparency path | ✅ |
For GDPR-sensitive organizations, direct use of DeepSeek via web/app/API is not recommended. DeepSeek is more suitable via self-hosting, ideally in an EU data center, private cloud, or on-premises with its own logging, deletion, access rights, and security architecture. For personal, confidential, or regulated data, the DeepSeek cloud should be avoided.
Conclusion:
From a GDPR perspective, DeepSeek is significantly more critical in direct cloud/app/API use than ChatGPT Enterprise, Gemini Workspace/Vertex, Claude Enterprise/API, or Perplexity Enterprise/API, because DeepSeek itself names China as the place of processing and storage, and there is no reliable public DPA/AVV or proof of EU data residency. The sensible GDPR-compliant option is not the DeepSeek cloud, but rather a self-hosted DeepSeek model in a controlled EU/on-prem/private cloud infrastructure.
Strengths & weaknesses at a glance
| Strengths | Weaknesses |
|---|---|
| – Very affordable API pricing while offering context caching at the same time. | – The official Privacy Policy explicitly states that personal data may be processed and stored in the People’s Republic of China for the provision of the services. |
| – Strong coding and reasoning focus, including improvements in frontend web development. | – DeepSeek may process user input, chat history, uploads, and other usage data, and also uses personal data to improve/train its technology; only an opt-out is provided. |
| – Free web/app usage without ads or in-app purchases. | – In the accessible official sources, I could not verify any publicly reliable DPA/AVV, SCC, or EU data residency commitment. |
| – Open-source weights of important models under the MIT License. | – DeepSeek itself points out hallucination/error risks. |
| – Developer-friendly through OpenAI/Anthropic compatibility, function calling, and JSON output. | – The official cloud/app is under real regulatory pressure in Europe and Asia. |
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GDPR-compliant usage possible?
Direct DeepSeek web/app/API use: No, or at most severely restricted / unclear. According to its own privacy policy, DeepSeek processes, among other things, account data, prompts, uploaded files, photos, chat histories, IP address, device information, usage logs, and approximate location data. DeepSeek also explicitly states that the services are not intended for sensitive personal data and that users should not enter such data. Data location / third-country transfer: DeepSeek states that personal data may be stored outside the country of residence and may be collected, processed, and stored directly in the People's Republic of China to provide the services. Training / model improvement: According to the Terms, DeepSeek may use inputs and outputs in de-identified form to provide, maintain, develop, or improve the services or the underlying technologies; users can disable this via “Improve the model for everyone.” EU/UK representation: In the current privacy policy, DeepSeek names Prighter as the data protection representative for the EU and UK. DPA / DPA: No publicly verifiable data processing agreement / DPA found for DeepSeek web, app, or Open Platform. While DeepSeek does mention appropriate safeguards for international transfers in the privacy policy, there are no reliably verifiable SCCs, no EU-only processing, and no clear enterprise DPA structure. Official assessment: The Berlin Commissioner for Data Protection has reported DeepSeek to Apple and Google due to what it considers an unlawful transfer of personal data to China; it points out that China does not have an EU adequacy decision and that DeepSeek has not provided convincing evidence of a level of data protection equivalent to that of the EU. The Italian data protection authority also lists DeepSeek as a blocked AI service, and Luxembourg’s CNPD warns of unclear safeguards, possible storage/analysis of prompts, and recommends not entering any personal or confidential data.
Positive: Open-source models can be self-hosted outside the DeepSeek cloud; in that case, the GDPR assessment depends primarily on one’s own hosting, logging, access protection, and model operation.
Negative: direct use of the DeepSeek cloud leads, according to official statements, to processing/storage in China; no reliable AVV/DPA evidence; no guaranteed EU data residency; regulatory criticism in the EU.