DeepSeek and IP: The Open-Source Trailblazer with Global Potential

Artificial Intelligence is evolving at breakneck speed, and in 2025, DeepSeek, a Chinese AI startup, has quickly become one of the most talked-about players in the field. With the release of its flagship large language model, DeepSeek-R1, in January 2025, the company has not only demonstrated technical prowess but also taken the rare step of open-sourcing its model. While this bold move has garnered global attention and support, it also presents an exciting opportunity for DeepSeek to lead the conversation on how open innovation can thrive alongside robust IP strategies.
This blog explores the rise of DeepSeek, its current IP strategy, and the strategic steps it can take to further strengthen its innovation advantage in the global landscape.
A Promising Start: DeepSeek-R1’s Disruptive Debut

DeepSeek-R1 has been praised for achieving performance comparable to OpenAI’s ChatGPT o1 model, yet with significantly lower training costs. That alone would make it a remarkable accomplishment. However, DeepSeek went a step further — it open-sourced the model and allowed global users to use, modify, and even commercialize the technology.
This kind of openness has helped DeepSeek build a strong developer ecosystem and brand recognition. Developers and researchers can now access codebases, reasoning datasets, and distillation models, making DeepSeek a centerpiece of the open-source AI movement. At the same time, this transparency underscores the importance of a complementary IP framework that maximizes value while encouraging innovation.
The Hidden Core: What DeepSeek Is Strategically Protecting

Despite the apparent openness, DeepSeek has been selective. It has withheld:
- The complete training dataset
- The training code and experimental setup
- The data processing methods and system architecture
These elements are retained as trade secrets — a strategic move to preserve proprietary advantages in a competitive industry. With growing advancements in AI model replication, this approach positions DeepSeek to proactively defend its unique methodologies and retain technological leadership.
Projects like Hugging Face’s Open-R1 — aiming to emulate DeepSeek-R1 — demonstrate the industry-wide recognition of DeepSeek’s breakthrough and validate the importance of securing its IP foundation.
Current IP Landscape

DeepSeek, under the names Deep Seek, Hangzhou Huanfang Artificial Intelligence Foundation Research, and Hangzhou Huanfang Technology, has filed 19 patent applications across China and the U.S., of which seven have been granted.
| CN117707416A | Asynchronous IO high-speed access method and device based on distributed storage |
| CN117707417A | Data file asynchronous reading method and device |
| CN118250215A | Method and equipment for path planning between logic blocks of network topology structure |
| CN118612158A | Multi-GPU RDMA communication method |
| CN116032999A | Method and device for realizing long link push recovery |
| CN118612157A | RDMA communication method of multi-plane network |
| CN118246542A | Construction method of artificial intelligence model training data set |
| CN118075198A | High-speed network topology structure path planning method and device |
| CN117669701A | Distributed model training interruption and recovery method and system |
| CN118503194A | RDMA parallel data transmission method of multi-GPU cluster network |
| CN114780203A | Method and device for managing container resources in cluster |
| CN112862098B | Cluster training task processing method and system |
| CN112925640B | Cluster training node distribution method and electronic equipment |
| CN114138441B | Cluster management task scheduling method and device |
| US11145090B2 | Flame finding with automated image analysis |
| USD973118S1 | Camera |
| CN110060130A | Financial product combination customized transaction system and method |
| CN109787638B | Data compression storage processing device and method |
| CN115061725B | Extension method of cluster virtual development environment |
These patents primarily focus on operational methods, including cluster training management, data communication, and storage efficiency. This early portfolio reflects DeepSeek’s thoughtful investment in core infrastructure and signals its capacity for long-term technical depth.
Lessons from the Trademark Experience: A Path to Global IP Maturity
In January 2025, DeepSeek faced a trademark filing by another party in the U.S., highlighting the growing global recognition of its brand. This event served as a valuable prompt for DeepSeek to accelerate its international trademark strategies and further protect its brand identity worldwide.
This experience positions DeepSeek to refine its IP foresight and adopt a comprehensive strategy that includes patents, trademarks, and copyrights across major markets.
Evolving Trade Secret Strategy in a Dynamic AI Landscape
One of the foundational elements of DeepSeek’s IP strategy is its use of trade secrecy. This choice reflects confidence in the technical complexity of its models and an efficient approach to safeguarding innovation.
As AI technologies evolve, DeepSeek has an opportunity to enhance this approach by combining trade secrets with targeted patents for unique components — creating a dual shield that maximizes both flexibility and enforceability.
By monitoring replication trends, DeepSeek can stay ahead by securing innovations before they become widely generalized.
The Patent Numbers Game: A Foundation for Global Leadership
To put things into perspective:
- By the end of 2024, over 90,000 patents had been filed globally in the generative AI space
- Industry leaders like Tencent and Samsung have each crossed the 1,000-patent mark.
- DeepSeek, with 19 filings and 7 grants across China and the U.S., has established a strong foundation and signaled its intent to scale thoughtfully.
This presents DeepSeek with a tremendous opportunity to build on its early success. With strategic IP development, it can elevate its role as a global innovator, attract partners, and unlock new licensing and commercialization pathways.
Conclusion: Building a Stronger Innovation Advantage
DeepSeek’s rise in the AI world is nothing short of remarkable. Its innovation-first approach, combined with its open-source ethos, places it in a unique position to redefine the boundaries of collaborative AI development.
In a world where AI is rapidly evolving, strong IP protection doesn’t hinder openness — it enhances it. By pairing its open-source strengths with expanded patent filings and global trademark protections, DeepSeek can secure both technological leadership and long-term growth.
Whether it’s through selective patents, cross-border IP alignment, or smart trade secret management, DeepSeek has the tools and momentum to shape the future of AI. The innovation race is not just about who builds first — it’s about who builds smart. And DeepSeek is well on its way.

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