The verified answer
As of Aug 2026, DEPLOY verifies DeepSeek: $7.0B raised. 3 sources back the record.
Funding
$7.0B
Employees
160
Overview
DeepSeek is a Hangzhou-based AI model developer spun out of the Chinese quantitative hedge fund High-Flyer in July 2023 by founder Liang Wenfeng. Unlike the US neocloud pack (CoreWeave, Lambda, Crusoe) that rents GPUs by the hour to third parties, DeepSeek runs its own fleet as a captive research resource: the Fire-Flyer 2 cluster built out from 2021 onward, roughly 10,000 Nvidia A100 GPUs plus a later top-up of H800 accelerators procured before US export controls tightened.
The lab does not sell compute; it sells inference on its own frontier models through a low-priced API.\n\nThe company vaulted into global view in January 2025 when DeepSeek-R1 briefly displaced ChatGPT as the top free iOS download and Chinese researchers claimed a training run for the underlying V3 base model costing roughly $5.6 million, an order of magnitude below Western frontier labs. That efficiency claim, whether taken at face value or read as a narrow marginal-cost figure, triggered a one-day $600B drop in Nvidia's market cap and reframed the "how much compute do you need for a frontier model" debate.
Successive releases (V3.1, V3.2, the V4-Flash and V4-Pro tiers in 2026) have kept the cadence.\n\nDeepSeek is privately held and until 2026 was funded entirely off High-Flyer's balance sheet. In May 2026 it closed a $7B Series A at a $52B post-money valuation and began IPO preparation targeting a 2027 listing.
Its distinctive posture in the neocloud/AI-infra map is that it is an operator of its own inference stack rather than a rentable cloud, and it is doing frontier model work under Chinese export-restricted silicon, which has made it both a proof point for compute-efficient training and a target of US and Australian government use bans.
Verified record
- Verified deployments
- None on file
- Active incidents
- None on file
Key facts
Parent company
GPU inventory
Silicon partnerships
Positioning
Most recent funding round
Public status
Reported V3 training cost
Latest material release
R1 market impact
Government restrictions
Employee count
Data & sources
Research
1
Web sources
2
3 sources backing this record.View all →
DeepSeek on the deployment map
View the global mapDeepSeek has no verified deployments on the DEPLOY registry yet. Explore the deployment map by place and type.
No verified deployments for DeepSeek on the DEPLOY record yet. Track DeepSeek to know the moment the first one is verified.
Current leadership (1)
- Liang Wenfeng Founder and CEO; also founder of parent hedge fund High-Flyerreported, not verified
Safety record
No incidents on record for DeepSeek.
Only active incidents are counted. Retracted incidents are excluded from this summary but remain reachable at their canonical URLs.
Full safety record: incidents, sourcing, and exposure data →
Recent coverage
DeepSeek in third-party press
Financial state
- Total funding
- $7.0B
- Employees
- 160as of 2025-01-01(reported headcount, Wikipedia synthesis of Chinese press)
Each numeric field carries its own basis marker. Aggregators report a number; this surface preserves the source class so verification depth travels with the value.
Recent activity
Every change to this record is dated, sourced, and independently verified where marked.
- Record createdAug 28, 2026
Added to the verified registry
Sources (3)
Common questions
What is DeepSeek?
What does DeepSeek make?
Is DeepSeek publicly traded?
Who is the CEO of DeepSeek?
How can I invest in DeepSeek?
Where is DeepSeek headquartered?
How much funding has DeepSeek raised?
Who owns DeepSeek?
Is DeepSeek a top robotics company?
When was DeepSeek founded?
Is DeepSeek safe?
Methodology: Verified · 3 sources (no primary) · last reviewed 2026-08-28
Verification posture
Verified
Low confidence
Review state
Stable
Last reviewed 2026-08-28
Sources by quality tier
- 1
- knowledge-base
- Knowledge base
- 1
- unclassified
- Unclassified source
- 1
- preprint
- Preprint
The framework is documented at /methodology. Corrections at /corrections. Reviewer: DEPLOY editorial team.
Methodology surface for DeepSeek.In the press
Recent coverage mentioning DeepSeek from third-party publications. Automatically surfaced; not part of the verified registry record.
Z.ai Shares Jump 8% After New AI Model Runs On Chinese Chips
Chinese artificial intelligence company Z.ai released a new model Wednesday that it says operates entirely on domestically produced semiconductors, highlighting China’s push to…
🗞️DeepSeek's Harness Debut, Unitree's IPO Frenzy, and Manus's Return from Meta
China AI Weekly Digest (Aug 9–Aug 15, 2026)
🗞️Alibaba's Qwen3.8-Max, Unitree Prices $9B Robotics IPO, and DeepSeek's Price Hike
China AI Weekly Digest (Aug 2–Aug 8, 2026)
🗞️CXMT Soars 472% in Record Shanghai IPO, Kimi K3's Open Weights, and DeepSeek's Viral Investor Notes
China AI Weekly Digest (Jul 25–Aug 1, 2026)
部分美国企业换上中国大模型以降低成本
从AlphaGo称霸围棋界到ChatGPT面世,美国在算法大模型领域积累了显著的先发优势。但近年中国大模型的崛起对AI格局有所冲击。美国《华尔街日报》等多家媒体提到,中国大模型独角兽月之暗面新一代开源大模型Kimi…
👀Liang Wenfeng on AGI, Compute, and Why DeepSeek Stays Open Source
Full translation of DeekSeek Founder's four-hour investor meeting: the AGI roadmap, the US-China gap, Huawei chips, and open source.
China AI Models: The Complete Primer
The Model Republic, Part 1 of 3. Every frontier lab, from Zhipu and MiniMax to DeepSeek, Qwen and Kimi: how China’s AI industry differs from America’s, the economics of a token,…
Not Just DeepSeek: JetSpec Claims Near-10x Faster LLM Decoding
After DeepSeek's DSpark put inference efficiency back in the spotlight, StepFun-linked JetSpec attacks the same problem from the draft-generation side.
DeepSeek Just Open-Sourced a Trick to Make V4 Feel Much Faster
DSpark is not a new base model. It is a speculative decoding module and open-source training stack that DeepSeek says can make V4-Flash and V4-Pro generate much faster under real…
💸Chinese AI Companies Just Had Their Payday
DeepSeek, Moonshot, and StepFun are raising billions.
DeepSeek-V3 New Paper is coming! Unveiling the Secrets of Low-Cost Large Model Training through Hardware-Aware Co-design
A newly released 14-page technical paper from the team behind DeepSeek-V3, with DeepSeek CEO Wenfeng Liang as a co-author, sheds light on the “Scaling Challenges and Reflections…
DeepSeek Unveils DeepSeek-Prover-V2: Advancing Neural Theorem Proving with Recursive Proof Search and a New Benchmark
DeepSeek AI releases DeepSeek-Prover-V2, an open-source LLM for Lean 4 theorem proving. It uses recursive proof search with DeepSeek-V3 for training data and reinforcement…
Machine-readable surfaces
- Markdown mirror: /companies/deepseek.md
- RSS feed: /companies/deepseek/feed.xml
- JSON-LD: embedded in this page’s head
- REST API: /v1/companies/1e9bc5ec-550c-4b27-9033-4ea00f8e33aa
- Revision history: /companies/deepseek/history
- Data documentation: /data
- Query this programmatically: Deploy MCP
Reality vs attention
Not enough verified signal yet to place DeepSeek against peers. Reality and attention percentiles publish once the underlying record clears its data floor.
Analysis
Limited public visibility and press coverage relative to peers.
Dimension breakdown
Verified signal
Attention (reach, not merit)
DEPLOY Intelligence scores are computed from verified registry data: confirmed deployments, disclosed funding rounds, regulatory filings, active job listings, video viewership, and press coverage. Confidence ratings reflect data availability. Scores update nightly.
DEPLOY Indices — verified vs claimed
Last computed: Aug 28, 2026