All funding news

AI — funding news

100 recent AI rounds across our tracked sources.

世
🇨🇳

世航智能

Robotics

世航智能 builds autonomous underwater robots and marine intelligence systems for ocean exploration and monitoring.

$140MSeries A
Investor undisclosed
A $140M Series A for underwater robotics signals China is betting hard on ocean infrastructure and resource monitoring—this isn't exploration vanity, it's strategic. At this check size, 世航智能 is likely building out manufacturing scale and field ops for commercial deployments (offshore energy, aquaculture, port security), not just R&D. If you're in robotics or autonomous systems, watch how they solve the underwater comms/power problem—that constraint is the real moat, and their solution will probably get copied into adjacent domains.
极
🇨🇳

极佳视界

Physical AGI

极佳视界 builds foundational AI models for physical robots in household and industrial settings.

$140MSeries B2
狮
狮城资本
中建万
+9
A $140M Series B2 for robot foundation models signals China is treating physical AI as infrastructure, not moonshot—this round size at this stage means they're scaling production/deployment, not just R&D. If you're building in robotics, autonomous systems, or even vision-heavy automation anywhere, watch whether their model licensing becomes the default layer (like how Stable Diffusion shifted image generation economics), because that changes your cost structure and moat.
秩
🇨🇳

秩益科技

Physics AI / SimulationVerified

秩益科技 builds physics simulation AI models using advanced resolution technology for scientific computing.

UndisclosedSeries A
毅
毅达资本
沂比
Chinese VCs are still writing Series A checks in mid-2026, which suggests either strong portfolio momentum or selective conviction in specific verticals—worth watching what sector this is. If it's infrastructure or B2B SaaS, this signals patient capital willing to back longer unit economics; if consumer, it's a contrarian bet. For founders in adjacent spaces, this matters because 毅达资本's check size and follow-on behavior will telegraph whether China's VC market is actually contracting or just consolidating around proven teams.
世
🇨🇳

世航智能

Robotics

世航智能 builds autonomous underwater robots and marine intelligence systems for ocean exploration and monitoring.

$140M
朱
朱啸虎
淡
A $140M Series B for underwater robotics signals China is betting hard on ocean infrastructure—likely driven by coastal monitoring, subsea cable inspection, and resource mapping needs that Western players haven't saturated yet. The check size and tier-1 backers (Temasek + Zhu Xiaohu) suggest this isn't a niche play; they're probably burning cash on hardware scale and field deployment, not just R&D. If you're building robotics or autonomous systems anywhere, watch how they solve the latency/communication problem underwater—that constraint is different enough that solutions might transfer to other harsh-environment domains.
Equal AI logo
🇮🇳Equal AIVoice AI, AI Agents

Equal AI builds voice AI agents for call management, spam filtering, and identity verification across enterprise and consumer use cases.

$30MSeries B
P
Prosus Ventures
TTV
+5
A $30M Series B for voice AI agents signals that call-handling automation is moving from novelty to infrastructure—especially in markets where phone-based workflows still dominate (India's a telling bet here). Equal AI's mix of spam filtering + identity verification suggests they're solving the boring-but-critical layer that enterprises actually need before trusting voice AI with real transactions. If you're building any agent that needs to handle inbound calls or verify users, watch how they're positioning around compliance and carrier integration—that's the moat, not the model.
Applied Digital logo
🇺🇸Applied DigitalAI Infrastructure

Applied Digital builds AI compute infrastructure and data centers for enterprises running large-scale AI applications.

$1.6BDebt
Investor undisclosed
A $1.6B debt round for compute infrastructure signals that AI workload demand has moved from hype to bankable cash flows—lenders won't touch this without predictable customer contracts. If you're building any AI application layer (agents, fine-tuning platforms, etc.), this means your unit economics need to account for compute costs staying elevated; the infrastructure play is getting capital-efficient, not cheaper.
Theker logo
🇪🇸ThekerRoboticsVerified

Theker builds AI-powered robotic systems for industrial automation and manufacturing.

$85M
路
路威酩轩
L
LVMH leading an $85M check into a Spanish robotics startup signals luxury/high-end manufacturing is betting hard on AI automation—likely for precision assembly and quality control where margins justify the capex. At this stage and size, Theker's probably scaling production of their core robotic platform and building out enterprise sales. If you're in adjacent automation spaces (logistics, food processing, pharma), watch whether LVMH's supply chain becomes a reference customer that opens doors to other conglomerates.
Theker logo
🇪🇸ThekerRoboticsVerified

Theker builds AI-powered robotic systems for industrial automation and manufacturing.

$92.7MSeries A
C
CRV
SLC
+7
A $92.7M Series A for industrial robotics signals that deep-pocketed corporates (Samsung, LVMH, Henkel, Inditex) are now writing checks directly into automation—they're not waiting for venture-scale exits. Theker's likely burning this on hardware scaling and factory deployments, not software. If you're building any B2B automation play, watch whether they're winning on unit economics or just on brand trust with legacy manufacturers.
Onibi logo
OnibiAI-powered Game Development

Onibi builds an AI-powered open-world multiplayer RPG that generates unique villages, cultures, NPCs, and quests for each player.

UndisclosedStrategic
S
SeaX Ventures
P
A strategic round in June 2026 from SeaX and Pix suggests this is likely a Southeast Asia or emerging-market play—both investors focus there. The 'strategic' label usually means the round is smaller than Series A but bigger than seed, so probably $2-5M for hiring ops/sales teams and expanding into a second country. If you're building B2B SaaS for emerging markets, watch whether this company's unit economics hold as they scale geographically—that's the real test VCs are betting on here.
X
🇨🇳Xingyuanzhi RobotEmbodied AIVerified

Xingyuanzhi Robot builds embodied AI software and controllers that power physical robots for manufacturers.

$14M
Investor undisclosed
A $14M round for embodied AI controllers in China signals manufacturers are moving past pilots—they're buying software that makes existing hardware actually useful. If you're building any kind of physical automation (warehouse, logistics, inspection), watch how fast Chinese OEMs adopt this; it'll tell you whether the bottleneck is really the AI or just integration costs.
口
🇨🇳

口袋领航外教

EdTech

口袋领航外教 connects Chinese learners with foreign English tutors through an AI-powered platform.

UndisclosedSeries A
Investor undisclosed
AniShort logo
🇨🇳AniShortAI Video/Content Creation

AniShort uses AI to generate short-form drama videos for content creators and studios.

$140K
Investor undisclosed
A $100K round in June 2026 for AI video generation suggests the space is still in scrappy, pre-product-market-fit territory—this isn't a hot category moment, it's a founder testing whether creators will actually use AI for drama content at scale. If you're building in adjacent content tools (editing, distribution, analytics), watch whether AniShort's users are retention-positive; that'll tell you if AI-generated narrative content is a real workflow problem or just a demo that looks cool.
TensorWave logo
TensorWaveAI

TensorWave builds AI infrastructure for enterprises to deploy and scale machine learning models efficiently.

$300MSeries B
N
NVentures
A $300M Series B for ML infrastructure in mid-2026 signals that enterprises have moved past pilot purgatory—they're actually deploying models at scale and willing to pay for the plumbing. This round size suggests TensorWave is solving a real bottleneck (likely GPU utilization, multi-cloud orchestration, or inference cost), not a nice-to-have. If you're building any layer of the AI stack, watch whether they're positioning as a replacement for existing cloud ML services or a complement—that tells you if the market is consolidating around new standards or fragmenting.
Supermicro logo
🇺🇸SupermicroAI Infrastructure

Supermicro manufactures AI server components and high-performance computing systems for data centers and enterprises.

UndisclosedStrategic
Investor undisclosed
Alta Ares logo
🇫🇷Alta AresAI-powered Air Defence

Alta Ares builds AI-powered air defence systems for military forces.

$54.5MSeries A
A
Air Street Capital
A $54.5M Series A for military air defence signals that defence tech investors are now comfortable betting on AI systems where latency and reliability matter more than scale—this isn't consumer AI. If you're building in autonomous systems, robotics, or real-time decision-making, watch how Alta Ares handles the regulatory/export maze; that's your actual moat, not the model.
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.
StepFun logo
🇨🇳StepFunLLM/AI Platform

StepFun builds large language models and audio synthesis technology for developers and enterprises.

UndisclosedIPO
Investor undisclosed
H
🇨🇳HiDream AILLM Infra

HiDream AI builds a 200B+ parameter multimodal language model for processing text, images, and other data types.

UndisclosedStrategic
H
Huace Film & TV
A Chinese media conglomerate leading a strategic round in June 2026 suggests either content IP with cross-border appeal or a creator/production tool gaining traction in Asia—Huace doesn't typically do pure tech plays. If you're building in creator tools or media infrastructure, watch whether this signals a shift toward Asian distribution channels becoming viable for Western founders, or if it's just Huace hedging into new content formats.
Unitree logo
🇨🇳UnitreeRobotics

Unitree builds humanoid robots powered by physical AI for industrial and commercial applications.

UndisclosedIPO
Investor undisclosed
PhysicsX logo
🇺🇰PhysicsXPhysics Simulation / AI Modeling

PhysicsX builds AI physics simulators for aerospace and automotive companies to accelerate design and testing.

$300MSeries C
T
Temasek
A $300M Series C for physics simulation signals that enterprise AI is moving past chatbots into domain-specific tools with measurable ROI—aerospace/auto can quantify time and cost saved in design cycles. This round size suggests Temasek sees a path to $2B+ revenue, which means PhysicsX is likely hiring heavily for enterprise sales and building vertical-specific models rather than a generic platform. If you're building AI tools for other capital-intensive industries (biotech, energy, manufacturing), watch how PhysicsX structures its go-to-market—the playbook for selling simulation accuracy to risk-averse engineers is probably more valuable than the tech itself.
OpenAI logo
🇺🇸OpenAILLM Infra

OpenAI builds large language models and AI systems for developers and enterprises.

UndisclosedIPO
Investor undisclosed
Kuku logo
🇮🇳KukuMicrodramas

Kuku builds mobile-first short-form video and audio content platform for Indian audiences.

$42IPO
Investor undisclosed
Kuku going public signals that short-form video in India has matured past venture scale—the market's proven unit economics and user retention at scale. If you're building creator tools, payments infrastructure, or adjacent content formats in India, this validates that the TAM is real enough for public markets, which means distribution and monetization paths are now clearer than they were 18 months ago.
Moonshot AI logo
🇨🇳Moonshot AILLM InfraVerified

Moonshot AI builds Kimi Operator, an AI assistant platform powered by large language models for enterprise and consumer applications.

$2B
Investor undisclosed
A $2B raise for a Chinese LLM inference/agent platform signals that post-frontier model commoditization, the real capital is flowing to application layers and operator stacks—not base models. If you're building in AI tooling or vertical SaaS, watch whether Moonshot's focus on enterprise agents (vs. consumer chat) means the margin pool has shifted from consumer scale to B2B workflow automation.
安
🇨🇳

安纳智芯

SemiconductorVerified

安纳智芯 builds high-precision analog computing chips for AI applications.

Undisclosed
经
经纬创投
峰阿讯
+1
A Chinese AI/speech tech consortium backing a June 2026 round signals serious capital flowing into applied AI in China right now—讯飞创投's presence especially suggests this is speech, voice, or multimodal inference. The syndicate structure (established VCs + specialized funds) means the company likely has traction and is moving past seed; expect the capital going toward scaling inference infrastructure or enterprise go-to-market. If you're building any kind of voice-first or speech-adjacent product, watch what this company does with distribution—Chinese VCs rarely co-invest this heavily without a clear path to 10M+ users or enterprise revenue.
PhysicsX logo
🇺🇰PhysicsXPhysics Simulation / AI ModelingVerified

PhysicsX builds AI physics simulators for aerospace and automotive companies to accelerate design and testing.

$300M
T
Temasek
NVIDIA logoA
A $300M Series B from Temasek + NVIDIA signals that physics simulation is moving from nice-to-have to mission-critical for hardware companies facing design cycle pressure—especially as chip complexity makes traditional testing prohibitively expensive. PhysicsX is likely burning this on compute infrastructure, hiring domain experts, and landing enterprise pilots with tier-1 OEMs. If you're building any vertical-specific CAD, materials science, or robotics tool, watch how they're packaging simulation APIs; that's probably your wedge into enterprise workflows.
K
🇨🇳Kunlun Yuan AIAI

Kunlun Yuan AI develops AI infrastructure and solutions for enterprise applications in China.

$7MStrategic
Investor undisclosed
A $7M strategic round for enterprise AI infrastructure in China signals that domestic players are still raising despite the regulatory tightening—but the undisclosed investors and 'strategic' label suggest this is likely a government-backed or state-aligned entity, not pure venture capital. If you're building AI tooling for regulated markets or enterprise deployments, watch how Chinese infrastructure plays navigate compliance; their playbook will probably preview what Western enterprises demand in 18 months.
PhysicsX logo
🇺🇰PhysicsXPhysics Simulation / AI Modeling

PhysicsX builds AI physics simulators for aerospace and automotive companies to accelerate design and testing.

$300MSeries B
T
Temasek
A $300M Series B for physics simulation signals that enterprise AI is moving past chatbots into domain-specific tools with measurable ROI—aerospace/auto can quantify time and cost saved in design cycles. This round size suggests Temasek sees physics simulation as infrastructure, not a feature, which means the space is consolidating around winners fast. If you're building any vertical AI tool (materials science, chip design, robotics), watch how PhysicsX monetizes—they're likely proving the unit economics that will unlock follow-on funding in adjacent hard-science verticals.
PixelBloom logo
🇨🇳PixelBloomEnterprise SaaS

PixelBloom builds AI agents that automate workplace productivity tasks for enterprise teams.

UndisclosedSeries C
Investor undisclosed
华
🇨🇳

华超神控

Brain-Computer Interface

华超神控 builds AI-powered ultrasound brain-computer interfaces for medical and assistive applications.

$14MAngel
Investor undisclosed
A $14M angel for a brain-computer interface company signals China is willing to fund deep-tech hardware plays with long commercialization timelines—this isn't typical for early-stage rounds. The ultrasound angle (non-invasive, cheaper than implants) suggests they're betting on accessibility over surgical precision, which means they're targeting assistive use cases first, not locked-in medical protocols. If you're building in adjacent neurotech or medical devices, watch whether they can actually ship a consumer-grade product; if they do, it validates the ultrasound BCI stack and opens a new hardware category.
S
🇨🇳Shi Shi TechnologyAI Computing Infrastructure

Shi Shi Technology builds a heterogeneous AI computing platform that unifies NVIDIA GPUs with Chinese AI chips for optimized inference and training efficiency.

UndisclosedPre-A+
Investor undisclosed
珀
🇨🇳

珀乐互动

Digital Content

珀乐互动uses AI and IP technology to create and distribute digital content at scale.

UndisclosedAngel
星
星连资本
Y
🇨🇳Yuanmu IntelligenceIndustrial AI

Yuanmu Intelligence builds industrial intelligent agents for manufacturing automation and process optimization.

UndisclosedAngel
Investor undisclosed
圆
🇨🇳

圆木智能

Industrial AI

圆木智能 builds industrial intelligent agents for manufacturing and industrial operations using AI.

UndisclosedAngel
Investor undisclosed
I
🇮🇳Innefu LabsCybersecurity

Innefu Labs builds AI-powered cybersecurity software for defense, intelligence, law enforcement, and enterprise customers.

$30MSeries B
P
Panthera Growth Partners
A $30M Series B for an India-based cybersecurity startup signals that deep-tech security plays are getting funded outside the US/EU bubble—especially when they have government/defense tailwinds. Innefu is likely using this to scale sales ops and build out compliance/certification infrastructure (FedRAMP, etc.) rather than pure R&D. If you're building B2B security software with regulatory friction, watch how they navigate the US government procurement maze—that playbook matters whether you're in threat intel, supply chain security, or cloud hardening.
趋
🇨🇳

趋境科技

AI Infrastructure

趋境科技 builds AI token production infrastructure for developers and enterprises.

UndisclosedPre-A
Investor undisclosed
A pre-A in June 2026 with Chinese capital suggests either a China-first play or a founder who's tapped domestic networks early—worth noting if you're building B2B infrastructure, since this signals VCs are still moving fast on rounds under $5M despite macro noise. The investor mix (星连资本 is early-stage focused) implies the company likely needs 12-18 months of runway to hit Series A metrics, so probably hiring eng/sales and validating one core use case rather than broad platform expansion.
DataMasque logo
🇳🇿DataMasqueData Privacy & AI Infrastructure

DataMasque builds data de-identification and synthetic data infrastructure for enterprises to safely use sensitive data in AI development.

$4MSeries A
W
Wavemaker Ventures
OI
A $4M Series A for data de-identification signals that enterprises are finally moving past 'we can't use real data' excuses—the compliance friction is real enough to fund infrastructure around it. If you're building anything that touches customer data (analytics, ML training, testing), DataMasque's existence means your customers will soon expect you to have a story for how you handle it, not just promise confidentiality.
毫
🇨🇳

毫秒智控

AI

毫秒智控 builds AI-powered industrial control systems for manufacturing optimization.

UndisclosedAngel+
Investor undisclosed
百
🇨🇳

百曜科技

Biotech AI

百曜科技 builds AI-powered virtual cell simulations for biotech research and drug discovery.

Undisclosed
Investor undisclosed
Generalist AI logo
Generalist AIAI

Generalist AI builds general-purpose AI models and infrastructure for enterprise applications.

$400MVenture
R
Radical Ventures
A $400M Series round for a general-purpose model company in mid-2026 signals that enterprise AI infrastructure is consolidating around a few well-capitalized players—this isn't about novel research anymore, it's about distribution and compute moats. If you're building vertical AI or enterprise tooling, this means your defensibility increasingly depends on either owning a specific workflow or having a tight integration story with whoever wins the foundation model wars, because standalone model companies are now playing a different game than you.
kAIgentic logo
🇸🇬kAIgenticEnterprise AI, Agentic AI

kAIgentic builds domain-specific AI agents that automate enterprise operations while maintaining human oversight.

$10MStrategic
S
SMBC Group
A Japanese megabank leading a $10M strategic round into a Singapore agentic AI startup signals that enterprise AI automation is moving from hype to procurement—SMBC likely sees this as a way to pilot agents internally before deploying them across their own operations. If you're building in adjacent enterprise automation (workflow, compliance, finance ops), this validates that the bottleneck isn't technology anymore; it's trust and integration with legacy systems, which is where strategic capital flows.
TrueFan AI logo
🇮🇳TrueFan AIGenerative AI Video

TrueFan AI creates personalized AI-generated celebrity videos for enterprises to boost customer engagement and sales.

$10MSeries A
B
Baring Private Equity Partners India
ZI3
A $10M Series A for AI video personalization signals that enterprise video engagement is moving from nice-to-have to budget-worthy—especially in India where customer acquisition costs are lower and ROI math works faster. If you're building any form of personalized content delivery (whether that's sales collateral, onboarding, or customer comms), watch how TrueFan monetizes: the playbook for converting engagement metrics into actual contract value will matter for your pricing model.
JumpStart logo
🇮🇩JumpStartAutomated Retail / Vending

JumpStart operates AI-enabled cashless vending machines that bring Japanese F&B brands to Indonesian consumers in high-traffic locations.

UndisclosedSeries C
C
Cool Japan Fund
Suno logo
🇺🇸SunoMusic Generation

Suno builds AI music generation from text prompts for musicians, creators, and producers.

$400MSeries D
BOND logo
BOND
A $400M Series D for text-to-music signals that generative audio is moving past the hype phase into defensible product—investors are betting on moat, not just novelty. Suno's likely burning this on compute infrastructure, model training at scale, and legal/licensing deals to survive the inevitable IP lawsuits. If you're building in any generative creative tool (video, design, code), watch how Suno navigates the creator-vs-rights-holder tension; that playbook will define what's fundable in adjacent spaces for the next 18 months.
Alphabet logo
🇺🇸AlphabetAI Infrastructure

Alphabet builds AI infrastructure and services for enterprises and consumers through Google and other subsidiaries.

UndisclosedStrategic
Investor undisclosed
Factorial logo
🇪🇸FactorialHR Tech / AI Workforce Platform

Factorial builds AI agents that automate HR, finance, and IT workflows for mid-market businesses.

$150MSeries D
General Catalyst logo
General Catalyst
Atomico logoF
A $150M Series D for workflow automation in back-office functions signals that enterprise buyers are finally willing to pay for AI agents that actually reduce headcount—not just augment. Factorial's getting this check because mid-market companies are desperate to cut ops costs, and General Catalyst betting this hard means they see a repeatable playbook across HR/finance/IT. If you're building in adjacent operational workflows (procurement, legal ops, compliance), this validates that the buyer is ready to consolidate multiple tools into one AI-first platform rather than bolt-on point solutions.
C
🇨🇳ChanglongairAirlines

Changlongair operates a Chinese airline providing passenger and cargo transportation services.

$280MIPO
Investor undisclosed
A $280M IPO for a regional Chinese airline in mid-2026 signals confidence in domestic travel recovery and cargo demand, but this is sector-specific rather than a broader tech trend. If you're building logistics, supply chain, or last-mile delivery software, this matters: airlines are capital-raising again, which means they're actively modernizing ops and willing to spend on tech to optimize routes, fuel, and turnaround times.
Wordsmith logo
🇺🇰WordsmithLegal AI

Wordsmith builds AI-powered legal request management software for in-house legal teams to automate routine work and route requests across organizations.

$70MSeries B
H
Highland Europe
Index Ventures logo
A $70M Series B for legal ops automation signals that enterprise buyers are finally willing to pay for AI that handles the boring stuff—not flashy copilots, but actual workflow routing and triage. If you're building in any vertical with high-volume, repetitive request handling (finance ops, HR, procurement), this validates that the unit economics work when you own the routing layer, not just the writing layer.
O
🇺🇰Oxford Quantum CircuitsQuantum Computing

Oxford Quantum Circuits builds superconducting quantum computers and offers quantum computing as a service through data centre partners.

$350MSeries C
B
Bullhound Capital
BFC
+8
A $350M Series C for quantum hardware in 2026 signals that enterprise customers are moving past POCs—someone's writing real checks for fault-tolerant systems. If you're building enterprise infrastructure (especially in optimization, simulation, or crypto), watch whether OQC's data centre partnerships actually move the needle on latency/accessibility; that's the real moat, not the qubit count.
Q
🇨🇳Qianxun IntelligenceAI

Qianxun Intelligence builds AI-powered spatial intelligence and positioning solutions for enterprise and government applications.

$210MSeries A+
Investor undisclosed
A $210M Series A+ for a positioning/spatial AI company signals China's doubling down on autonomous infrastructure—this isn't consumer GPS, it's enterprise-grade localization for robotics, autonomous vehicles, and smart cities. At this stage and size, they're likely scaling production of their core positioning stack and building out vertical-specific applications (probably logistics/delivery first). If you're building any autonomous system or fleet management tool, watch how they're solving the GPS-denied/indoor positioning problem—that's the hard constraint everyone hits.
Qianxun logo
🇨🇳QianxunEmbodied AI

Qianxun builds embodied AI robots and systems for industrial and commercial applications in China.

$630M
Investor undisclosed
A $630M round for embodied AI in China signals the market is past proof-of-concept—this is deployment capital for scaling manufacturing and logistics automation. If you're building in robotics, supply chain software, or industrial automation anywhere, watch how Qianxun's go-to-market unfolds; Chinese robotics companies are moving faster on cost-per-unit than Western competitors, and that efficiency curve will eventually pressure margins globally.
星
🇨🇳

星尘智能

Robotics

星尘智能 builds embodied AI robots for industrial and commercial applications using advanced robotics technology.

$140MSeries B
Investor undisclosed
A $140M Series B for industrial robotics out of China signals that embodied AI is moving past research into deployment—someone's betting hard on the hardware-software stack actually working at scale. If you're building in adjacent automation spaces (logistics, manufacturing software, vision systems), this validates that customers will fund solutions that replace human labor, but also means you're now competing against well-capitalized hardware plays that can afford to lose money on units.
具
🇨🇳

具身公司

Robotics

具身公司 builds vision-touch sensors for robots, commanding leading market share in sensor shipments.

$14M
汇
汇川
中
A Chinese robotics sensor company raising $14M in mid-2026 signals that embodied AI (vision + tactile feedback) is moving from research to manufacturing scale—this isn't theoretical anymore. The investor mix (industrial automation + telecom) suggests the money goes toward production capacity and integration into OEM supply chains, not R&D. If you're building robot software or control systems, this matters: tactile sensing is becoming table stakes for manipulation tasks, so your APIs need to assume it exists.
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.
Suno logo
🇺🇸SunoMusic Generation

Suno builds AI music generation from text prompts for musicians, creators, and producers.

Undisclosed
Investor undisclosed
AlphaSense logo
🇺🇸AlphaSenseAI-powered Search & Analytics

AlphaSense builds AI-powered search and analytics for financial services and enterprise professionals to extract insights from unstructured data.

Undisclosed
Investor undisclosed
Nuro logo
🇺🇸NuroAutonomous Vehicles

Nuro builds autonomous delivery vehicles for last-mile logistics using self-driving technology.

$500MStrategic
Uber logo
Uber
Uber's $500M strategic bet signals they're moving past ride-sharing into logistics infrastructure—this isn't just capital, it's a vertical integration play to own the last-mile problem. If you're building in delivery, fulfillment, or any logistics layer, watch whether Nuro's tech becomes Uber's moat or gets commoditized; the answer determines whether autonomous delivery stays a capital-intensive play or becomes a platform service.
Quantinuum logo
🇺🇸QuantinuumQuantum Computing

Quantinuum builds quantum computing hardware and software for enterprise customers solving complex optimization and simulation problems.

$1.7BIPO
Investor undisclosed
A $1.68B quantum IPO signals that enterprise quantum is moving past hype into real deployment—Quantinuum likely uses proceeds to scale manufacturing, build out their software stack, and lock in customer contracts before competitors mature. If you're building enterprise infrastructure (especially optimization, simulation, or cryptography tools), watch their customer wins closely; they're essentially validating which problem classes actually need quantum today versus in 5 years.
Gigaton logo
🇺🇰GigatonIndustrial AI

Gigaton uses AI to reduce energy consumption and costs in manufacturing operations.

$26MSeries A
P
Plural
A $26M Series A for industrial energy optimization signals that manufacturing decarbonization is moving from sustainability theater to unit economics—investors are betting on ROI-first pitches, not ESG mandates. Gigaton likely uses this to scale their AI model across verticals and build out a direct sales team, since energy savings are highly site-specific and require technical credibility. If you're building any B2B software for heavy industry, watch how they position cost savings vs. emissions; that messaging hierarchy will tell you what actually moves procurement budgets right now.
Astribot logo
🇨🇳AstribotRoboticsVerified

Astribot builds cable-driven humanoid robots with proprietary AI for collaborative tasks in homes and factories.

$140MSeries B
Investor undisclosed
A $140M Series B for a hardware robotics company signals China's willingness to fund long-capital-cycle bets at scale—this isn't a software round. The cable-driven architecture is a bet that mechanical simplicity beats Boston Dynamics' complexity for real deployment, so watch if they actually ship units to factories this year; if they do, it validates a whole category of 'good enough' robots over perfect ones. If you're building in manufacturing software or logistics, this matters because it means your TAM just got a hardware layer that actually exists.
Quobly logo
🇫🇷QuoblyQuantum ComputingVerified

Quobly builds silicon-based quantum computers leveraging existing semiconductor infrastructure.

$125.3MSeries A
B
Bpifrance
SSE
+3
A $125M Series A for a quantum hardware play signals Europe is willing to bet big on semiconductor-adjacent quantum, not just software layers—and STMicro's participation suggests they see this as defensible IP within their existing fabs rather than a moonshot. If you're building quantum dev tools, simulators, or enterprise applications, this validates that the hardware timeline is compressing enough to justify pre-revenue tooling investment now.
白
🇨🇳

白犀牛

Robotics

白犀牛 builds autonomous RoboVans for industrial logistics using vehicle-grade robotics technology.

UndisclosedSeries C1
Investor undisclosed
Aippy logo
AippyGaming

Aippy builds an AI-powered gaming community platform for players to connect and compete.

UndisclosedSeries A
Investor undisclosed
S
🇨🇳Stardust IntelligenceRobotics

Stardust Intelligence builds humanoid robots and embodied AI solutions for industrial and commercial applications.

$140MSeries B
Investor undisclosed
A $140M Series B for enterprise AI in China signals that the market is past the hype phase—investors are backing teams with actual customer traction, not just model claims. At this stage and size, Stardust is likely scaling sales/ops and building vertical-specific solutions rather than chasing general-purpose models. If you're building B2B AI anywhere, watch how they navigate China's regulatory environment; their playbook for compliance + enterprise adoption will matter when you eventually hit that market.
S
🇨🇳SiClinkBrain-Computer Interface

SiClink develops invasive brain-computer interfaces that reconstruct and transmit visual information directly to the brain.

UndisclosedSeed
BlueRun Ventures logo
BlueRun Ventures
Hillhouse logoZ
Qianzun logo
🇨🇳QianzunRobotics

Qianzun builds embodied AI robots for industrial and commercial applications using advanced robotics and machine learning.

$630M
Investor undisclosed
A $630M round for a Chinese embodied AI robotics company signals serious capital is flowing into physical automation—especially where labor costs and supply chain resilience matter most. At this stage and size, Qianzun is likely scaling manufacturing, building out the sales/support infrastructure for enterprise deployments, and probably acquiring or licensing IP to compete with Boston Dynamics and Tesla Bot. If you're building software that touches factory floors or logistics, watch whether these robots become a standard platform layer—it could reshape how you think about your TAM and go-to-market.
千
🇨🇳

千寻智能

AI

千寻智能builds AI solutions for enterprise applications using advanced machine learning.

$210MSeries A+
Investor undisclosed
A $210M Series A+ for a Chinese enterprise AI company signals that post-training optimization and vertical AI deployment are still attracting massive capital despite the crowded space—likely because execution on real workflows (not just benchmarks) remains scarce. They're probably burning this on compute infrastructure, domain-specific model fine-tuning, and sales motion to lock in enterprise customers before the next wave of open-source models commoditizes their stack. If you're building B2B AI tooling, watch whether they go horizontal (selling to many verticals) or double down on 1-2 industries—that'll tell you if the moat is the model or the go-to-market.
Agile Robots logo
🇩🇪Agile RobotsRoboticsVerified

Agile Robots builds AI-powered industrial robots for manufacturing and logistics automation.

$800M
SoftBank logo
SoftBank
SoftBank logo
An $800M Series round from SoftBank signals that industrial robotics is finally hitting the scale inflection—this isn't early-stage betting anymore, it's capital chasing proven unit economics. At this stage and check size, Agile is likely burning cash on manufacturing capacity and sales infrastructure to capture the logistics automation wave before competitors do. If you're building any B2B automation play that touches warehouses or factories, watch how they price and deploy—their go-to-market will set the playbook for what customers actually pay for AI-powered hardware.
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.
罗
🇨🇳

罗曼股份

AI Infrastructure

罗曼股份 builds intelligent computing infrastructure and cluster operations for AI workloads.

$41.0MStrategic
Investor undisclosed
A $41M strategic round for Chinese AI infrastructure in mid-2026 signals that cluster ops and compute orchestration are moving from 'nice-to-have' to table-stakes as training costs explode—this is the unglamorous plumbing that every frontier lab needs. If you're building anything that consumes GPU time (fine-tuning platforms, synthetic data, inference optimization), watch how 罗曼股份 prices and packages their ops layer, because that's becoming your cost ceiling.
量
🇨🇳

量坤科技

AI4S

量坤科技 provides quantum-precision data infrastructure for AI-driven scientific research and discovery.

UndisclosedAngel
Investor undisclosed
博
🇨🇳

博登智能

AI

Boden Intelligence builds AI solutions for Chinese enterprises, though specific product details are unavailable.

UndisclosedSeries A+
Investor undisclosed
Anthropic logo
🇺🇸AnthropicLLM Infra

Anthropic builds large language models and AI systems for developers and enterprises.

Undisclosed
Investor undisclosed
Unitree Technology logo
🇨🇳Unitree TechnologyRobotics

Unitree Technology designs and manufactures humanoid and quadrupedal robots for industrial and commercial applications.

UndisclosedIPO
Investor undisclosed
A
🇨🇳AromeManpoRetail

AromeManpo is a Chinese fragrance retail brand operating physical storefronts and selling premium scents to consumers.

$14MSeries B
Investor undisclosed
A $14M Series B for a Chinese fragrance retailer signals that premium beauty retail in China is still attracting capital despite e-commerce saturation—likely because physical storefronts create defensible margins and brand control. At this stage and size, they're probably scaling store count and building supply chain efficiency rather than chasing new categories. If you're building DTC beauty or luxury goods in Asia, watch whether they're investing in loyalty/membership tech or inventory systems—that's the real moat they're testing.
VAST logo
🇨🇳VASTWorld Models

VAST builds world models that enable AI systems to understand and simulate complex environments.

$200MSeries A
Investor undisclosed
A $200M Series A for world models signals that simulation-as-infrastructure is moving from research to production—someone believes these models unlock real economic value beyond academia. If you're building robotics, autonomous systems, or anything requiring environmental prediction, VAST's funding validates that investors will back the foundational layer, not just the application; watch whether they're selling API access or keeping it proprietary, because that determines your build-vs-buy calculus.
L
🇨🇳Liangkun TechnologyAI4S

Liangkun Technology provides high-precision data infrastructure for AI-driven scientific research and discovery.

UndisclosedAngel
Investor undisclosed
Gradient Labs logo
🇺🇰Gradient LabsEnterprise AI

Gradient Labs builds AI agents that automate customer service operations for financial institutions, handling lending, disputes, and KYC checks.

$26MSeries A
O
Octopus Ventures
CRedpoint Ventures logoLocalGlobe logo
+3
A $26M Series A for financial services automation signals that regulated verticals are finally moving past pilots—banks are willing to deploy AI agents on high-friction, high-compliance workflows like KYC and disputes. If you're building in adjacent regulated spaces (insurance, lending tech, compliance), this validates that the bottleneck isn't AI capability anymore; it's navigating regulatory approval and proving ROI on ops cost reduction, which typically takes 18-24 months to demonstrate at scale.
简
🇨🇳

简智机器人

Robotics

简智机器人builds embodied AI training data platforms for robotics developers using synthetic data generation.

Undisclosed
蚂
蚂蚁
滴德
序
🇨🇳

序熵纪元

Enterprise SaaS

序熵纪元 builds AI-powered research infrastructure for enterprise investment teams.

UndisclosedSeed
Investor undisclosed
Quantinuum logo
🇺🇸QuantinuumQuantum ComputingVerified

Quantinuum builds quantum computing hardware and software for enterprise customers solving complex optimization and simulation problems.

UndisclosedIPO
Investor undisclosed
N
🇨🇳Nuoxin JiaNeurotechnology

Nuoxin Jia develops neural interfaces and biosensors for brain-computer communication applications.

Undisclosed
Investor undisclosed
Tencent backing a Shanghai-based play in May 2026 signals continued appetite for China-native tech, though the lack of disclosed amount and sparse investor list suggests either a smaller check or a strategic/corporate round rather than institutional validation. If you're building in gaming, social, or fintech in Asia, watch whether this company's go-to-market strategy relies on Tencent's distribution—that's the real tell of what Tencent thinks will work in the next 18 months.
Anthropic logo
🇺🇸AnthropicLLM Infra

Anthropic builds large language models and AI systems for developers and enterprises.

UndisclosedSeries H
A
Altimeter Capital
DGSequoia Capital logo
+5
M
🇨🇳Moxin AIAI Chip Design

Moxin AI designs efficient AI processors like SparsePrime® for cost-effective AI computing.

$140MSeries C
Investor undisclosed
A $140M Series C for a Chinese AI chip startup signals that efficiency-focused inference hardware is still attracting serious capital—likely because the margin between commodity GPUs and custom silicon keeps widening as models scale. Moxin's probably using this to scale manufacturing and land design wins with hyperscalers who are tired of paying Nvidia's tax on every inference call. If you're building any inference-heavy product (search, recommendations, agents), watch whether these alternative chips actually ship at scale—it could reshape your unit economics in 18-24 months.
Anthropic logo
🇺🇸AnthropicLLM Infra

Anthropic builds large language models and AI systems for developers and enterprises.

$9.1B
Investor undisclosed
A $9.1B round for an LLM company in mid-2026 signals that frontier model development is still consolidating around a handful of well-capitalized players—this isn't seed-stage category validation, it's late-stage arms race funding. Anthropic's likely burning this on compute (training runs, inference infrastructure) and hiring top researchers to stay competitive with OpenAI/others on capability and safety claims. If you're building AI applications or tooling, watch whether this capital translates to cheaper/faster API access or if it just funds a capability gap that makes it harder for smaller models to compete.
Groq logo
🇺🇸GroqAI Chips

Groq builds specialized AI inference chips and cloud services for developers and enterprises to run large language models faster and cheaper.

$650M
Investor undisclosed
A $650M raise for inference chips in mid-2026 signals the market has moved past 'will LLMs be useful' to 'who owns the margin on running them.' Groq's bet is that specialized hardware beats general-purpose GPUs on cost/latency—if this round closes at a high valuation, it means enterprises are actually willing to switch inference providers, which changes the unit economics for anyone building LLM applications. If you're building on top of LLMs, watch whether Groq's inference speed actually moves the needle on your product differentiation or if it stays a cost-optimization play for large-scale deployments.
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.
歌
🇨🇳

歌迷圈子

Entertainment

歌迷圈子 builds a concert and live performance platform for fans to discover, engage, and connect around events.

$700KSeed
Investor undisclosed
A $700k seed for a concert discovery platform in China signals investors still see room to consolidate fragmented live event discovery—but the modest check size suggests they're betting on niche fan engagement rather than competing head-to-head with Douyin/WeChat's existing event ecosystems. If you're building community tools around any passion vertical (gaming, sports, music), watch how they monetize beyond ticketing; the real margin is likely in fan-to-fan commerce or creator tools, not just discovery.
F
🇨🇳FunloomAIContent Creation

FunloomAI is an AI content co-creation platform that handles repetitive tasks so creators can focus on creative work.

UndisclosedPre-A
Investor undisclosed
墨
🇨🇳

墨芯

AI Chip/Hardware

墨芯 builds cost-effective AI chips and hardware to reduce computational expenses for AI workloads.

$140MSeries C
Investor undisclosed
A $140M Series C for a Chinese AI chip startup signals that inference cost reduction is still table stakes—not a solved problem despite all the GPU competition. If you're building AI applications, this matters: the economics of your product depend heavily on whether inference costs keep dropping or plateau, and this round suggests the market still believes there's 2-3x efficiency gains left to capture. Watch whether they're targeting specific workloads (vision, language, etc.) or going broad—that'll tell you if specialized chips are winning or if general-purpose efficiency is the real moat.
Moxin logo
🇨🇳MoxinAI Accelerators

Moxin builds sparse computing acceleration cards that optimize AI workload performance and efficiency.

$140M
Investor undisclosed
A $140M raise for a Chinese sparse computing accelerator in May 2026 signals that inference optimization—not just training—is now a capital-intensive category. Moxin likely uses this to scale manufacturing and build out software/compiler support, which is the real moat in accelerators. If you're building any AI infrastructure that touches model serving or edge deployment, watch whether sparse compute becomes table-stakes for your cost model.
Moxin logo
🇨🇳MoxinAI Accelerators

Moxin builds sparse computing acceleration cards that optimize AI workload performance and efficiency.

$140MSeries C
Investor undisclosed
A $140M Series C for a Chinese AI accelerator in mid-2026 signals that sparse compute—not just raw throughput—is now table stakes for inference economics. This money likely funds manufacturing scale and go-to-market in US/EU despite geopolitical friction, which means the efficiency gains must be real enough to justify the regulatory headwind. If you're building any inference-heavy product (search, recommendations, agents), watch whether sparse cards actually move your unit economics; if Moxin's gaining traction, it's a signal that customers care more about cost-per-inference than peak performance.
M
🇨🇳Moffett AIAI Chip DesignVerified

Moffett AI builds sparse computing chips for AI inference acceleration using dual-sparsity algorithms.

$14MSeries C
S
Shenzhen Capital Group
GLY
+3
A $14M Series C for a sparse inference chip startup signals China's doubling down on edge AI efficiency—this isn't about raw compute, it's about inference cost at scale. Moffett's dual-sparsity angle (model + hardware level) suggests they're solving a real bottleneck: running LLMs cheaply on-device. If you're building inference infrastructure or edge AI products, watch whether sparse chips actually move the needle on latency vs. just power—that's the bet here.
Triomics logo
🇺🇸TriomicsOncology AI

Triomics builds AI software for oncology practices to automate clinical trial matching, appointment prep, and chart summarization.

$22MSeries B
Battery Ventures logo
Battery Ventures
NLightspeed logoY Combinator logo
A $22M Series B for oncology workflow automation signals that VCs are betting on AI-as-glue for fragmented clinical systems—not just diagnosis. Triomics is likely using this to expand from trial matching into the full patient journey (EHR integration, insurance pre-auth, follow-up scheduling). If you're building in adjacent healthcare verticals (rheumatology, cardiology), watch whether they're hiring for horizontal platform plays or staying vertical-focused; that tells you if the TAM is really about oncology or about replacing the broken appointment/documentation layer everywhere.
Z
🇨🇳Zhongke DiwujiRoboticsVerified

Zhongke Diwuji builds universal physical AI models for industrial robotics using few-shot learning.

UndisclosedSeries A
F
Futi Capital
SCC
+2
China's doubling down on semiconductor supply chain localization—this round's investor mix (state-backed funds + industry players) signals the government is actively de-risking chip manufacturing dependencies. If you're building infra or tooling for chip design/fab, expect tailwinds in China but also watch for export controls tightening around your tech.
新
🇨🇳

新智具身

Robotics

新智具身 develops tactile sensing technology that gives robots human-like touch perception.

$140KAngel
Investor undisclosed
A $100K angel for tactile sensing in robotics is a signal that China's hardware AI stack is filling in the gaps—touch perception is genuinely hard and underinvested compared to vision/language. If you're building robot software or manipulation tasks, this matters because tactile feedback is the bottleneck between lab demos and real-world dexterity; watch whether this team's approach (likely MEMS sensors or learned representations) becomes table stakes for your use case.
C
🇨🇳China National Aviation Holding Company LimitedAirlines

China National Aviation operates a major state-owned airline providing domestic and international air transportation services.

$2.8BStrategic
Investor undisclosed
A $2.8B strategic round into a state-owned Chinese airline in mid-2026 signals Beijing is doubling down on aviation infrastructure as a geopolitical/economic lever—likely fleet modernization and route expansion rather than operational innovation. If you're building logistics, supply chain, or B2B travel software, watch whether this capital flows toward digital infrastructure or stays siloed in hardware; that tells you if Chinese carriers will actually adopt third-party platforms or build walled gardens.
凌
🇨🇳

凌云智矿

AI4Earth

凌云智矿 uses AI and earth observation to provide mining intelligence and site monitoring solutions.

$10MPre-A
Investor undisclosed
A $10M pre-A for mining intelligence signals that earth observation + AI is moving from climate/ESG theater into operational ROI—mining companies care about ore grade prediction and equipment downtime more than carbon scores. If you're building in supply chain visibility, logistics optimization, or industrial asset monitoring, watch how they monetize: per-site subscription, usage-based pricing on imagery, or embedded into mining software. The China play matters too—domestic mining ops have less regulatory friction to adopt new tools than Western counterparts, making it a faster validation market.
Stilta logo
🇺🇸StiltaAI-powered Patent Analysis

Stilta builds AI-powered patent analysis software for IP teams to automate research and discovery of owned patents.

$10.5MSeed
Andreessen Horowitz logo
Andreessen Horowitz
Y Combinator logoOL
+1
A10M seed for patent automation signals that IP teams are finally willing to pay for AI tooling to replace manual grunt work—this is less about market timing and more about the category maturing past skepticism. Stilta's likely burning this on product depth (handling complex patent taxonomies), sales to in-house counsel, and probably some enterprise integrations. If you're building any workflow automation for knowledge workers (contracts, compliance, research), watch how Stilta prices and sells: legal teams are notoriously sticky once you own their process, so their GTM playbook matters more than the product itself.
L
🇨🇳Lightwheel AIPhysical AI Infrastructure

Lightwheel AI generates training data and simulation environments for embodied AI systems and industrial robotics applications.

UndisclosedPre-A+
Matrix Partners China logo
Matrix Partners China
Q
🇨🇳Qiaoitian IntelligenceAI

Qiaoitian Intelligence builds AI solutions for enterprise customers in China.

$14MSeries A+
Investor undisclosed
A $14M Series A+ for a China-focused enterprise AI play signals that the market is still funding applied AI for specific verticals rather than broad foundation models—investors are betting on execution in regulated markets where relationships matter more than raw compute. If you're building B2B AI tools, watch whether Qiaoitian's go-to-market relies on system integrators or direct sales; that'll tell you if enterprise AI adoption in Asia is moving faster than the West.