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DeepSeek

deepseek.com🇨🇳CNLLM

DeepSeek builds large language models for developers and enterprises using advanced AI research.

Rounds tracked
13

Funding history

DeepSeek logo
🇨🇳DeepSeekLLM

DeepSeek builds large language models for developers and enterprises using advanced AI research.

$7B
Investor undisclosed
A $7B raise for a Chinese LLM player signals serious capital is flowing to non-US AI labs—likely betting on cost-efficient model training and enterprise adoption in Asia. At this stage and size, DeepSeek is probably building inference infrastructure, expanding model families, and securing compute capacity to compete on speed and price rather than pure capability. If you're building AI tooling or applications, watch whether they're winning enterprise deals in China/SEA—that's the real tell for whether Western LLM dominance is actually eroding.
DeepSeek logo
🇨🇳DeepSeekLLM

DeepSeek builds large language models for developers and enterprises using advanced AI research.

$7B
Investor undisclosed
DeepSeek logo
🇨🇳DeepSeekLLM

DeepSeek builds large language models for developers and enterprises using advanced AI research.

$700MStrategic
Investor undisclosed
A $700M strategic round for a Chinese LLM player signals that inference efficiency and cost-per-token are now table stakes—DeepSeek's likely using this to scale production and compete on price against OpenAI/Claude in enterprise deals. If you're building any AI application layer (agents, RAG, fine-tuning platforms), this matters because your unit economics just got tighter; you can't assume customers will pay for premium models when a well-funded alternative runs 10x cheaper.
DeepSeek logo
🇨🇳DeepSeekLLM

DeepSeek builds large language models for developers and enterprises using advanced AI research.

$714MSeries A
Investor undisclosed
A $714M Series A for a Chinese LLM company signals that frontier model development is no longer a winner-take-all game—there's real capital flowing to non-US players with differentiated research. The round size and investor mix (Tencent, JD, NetEase) suggests DeepSeek is being positioned as infrastructure for China's AI stack, not just a research lab. If you're building AI applications or tools, this matters because it means your moat can't rely on exclusive access to one model provider anymore.
DeepSeek logo
🇨🇳DeepSeekLLM

DeepSeek builds large language models for developers and enterprises using advanced AI research.

$7.4BStrategic
Investor undisclosed
A $7.4B strategic round for a Chinese LLM player signals serious capital flowing into non-US AI infrastructure—likely from domestic strategic investors betting on decoupling. DeepSeek probably uses this to scale inference/training compute and build enterprise distribution channels, not R&D. If you're building AI tooling or applications, watch whether they undercut Western LLM pricing; that's the real competitive pressure, not their research.
DeepSeek logo
🇨🇳DeepSeekLLMVerified

DeepSeek builds large language models for developers and enterprises using advanced AI research.

$700MSeries A
T
Tencent Holdings
Tencent logoNJ
+2
A $700M Series A for a Chinese LLM company signals that frontier model development is no longer a winner-take-all game—there's real capital flowing to non-US players with differentiated research. If you're building AI infrastructure or applications, this matters because it means your moat can't just be "we use the best model"; you need defensibility in data, fine-tuning, or domain specificity since model access is fragmenting fast.
DeepSeek logo
🇨🇳DeepSeekLLMVerified

DeepSeek builds large language models for developers and enterprises using advanced AI research.

$7.4BStrategic
Investor undisclosed
A $7.4B strategic round for a Chinese LLM player signals serious capital flowing into non-US AI infrastructure—likely from domestic strategic investors betting on decoupling. DeepSeek probably uses this to scale inference/training compute and build enterprise distribution channels, not R&D. If you're building AI tooling or applications, watch whether they undercut Western LLM pricing; that's the real competitive pressure, not their research.
DeepSeek logo
🇨🇳DeepSeekLLMVerified

DeepSeek builds large language models for developers and enterprises using advanced AI research.

$7B
Investor undisclosed
A $7B raise for a Chinese LLM player signals that frontier model competition is now a capital arms race, not a research one—and that non-US players can mobilize serious funding despite geopolitical friction. If you're building AI infrastructure or applications, this matters because it means LLM commoditization is accelerating faster than most founders assume, which compresses margins on inference-heavy products and forces you to either own the model layer or find a defensible application moat.
DeepSeek logo
🇨🇳DeepSeekLLM

DeepSeek builds large language models for developers and enterprises using advanced AI research.

UndisclosedSeed
Investor undisclosed
Chinese mega-cap investors (CATL, Tencent, JD) backing a seed round signals serious conviction in a specific vertical—likely supply chain, logistics, or energy infrastructure given the LP mix. If you're building B2B infrastructure in Asia, this shows that strategic corporate VCs are actively deploying into early-stage plays where they see supply-chain or operational leverage, not just financial returns.
DeepSeek logo
🇨🇳DeepSeekLLMVerified

DeepSeek builds large language models for developers and enterprises using advanced AI research.

$7BSeries A
Tencent logo
Tencent
CTN
+2
A $7B Series A for a Chinese LLM company signals that frontier model development is now a capital-intensive, geographically distributed race—and that domestic champions with backing from mega-cap tech + battery/logistics players can move fast enough to compete. If you're building AI infrastructure or applications, this matters because it means LLM commoditization is accelerating faster than most founders assume, and regional model variants (not just OpenAI/Anthropic) will shape API pricing and availability in your market within 18 months.
DeepSeek logo
🇨🇳DeepSeekLLMVerified

DeepSeek builds large language models for developers and enterprises using advanced AI research.

$4.9B
Investor undisclosed
A $4.9B round for a Chinese LLM player signals serious capital flowing into inference efficiency and cost-competitive models—this isn't about being first to AGI, it's about who can serve enterprise workloads cheaper. If you're building on top of LLMs or competing on latency/cost, watch whether DeepSeek's model weights become the new baseline for benchmarking; if they do, your moat just got thinner.
DeepSeek logo
🇨🇳DeepSeekLLM

DeepSeek builds large language models for developers and enterprises using advanced AI research.

UndisclosedSeries A
国
国家大基金
State-backed Chinese capital moving into Series A suggests Beijing is actively de-risking semiconductor or advanced manufacturing plays—this isn't opportunistic, it's strategic. The 国家大基金 (National IC Fund) typically writes checks when they want to build domestic supply chains, so if this company is in chips, materials, or tooling, expect regulatory tailwinds but also eventual pressure to localize. If you're building infrastructure in adjacent sectors (EDA, packaging, materials science), watch whether follow-on rounds stay domestic or if they need foreign capital—that'll tell you how much geopolitical friction you're actually facing.
DeepSeek logo
🇨🇳DeepSeekLLMVerified

DeepSeek builds large language models for developers and enterprises using advanced AI research.

$700MSeries A
B
Big Fund
CTencent logoT
+2
A $700M Series A for a Chinese LLM company signals that frontier model development is now a capital-intensive, geographically distributed race—this isn't a US-only game anymore. The consortium backing (state funds + Alibaba/Tencent) suggests China is treating LLM infrastructure as strategic, which means if you're building AI applications, expect faster iteration cycles and lower inference costs from multiple competing model providers. If you're in adjacent AI infrastructure (evals, fine-tuning, deployment), watch how DeepSeek's model performance forces repricing of the entire stack.

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