All funding news

AI funding news

100 recent AI rounds across our tracked sources.

D
🇨🇳Dark Side of the MoonLLM

Dark Side of the Moon builds large language models and AI applications for Chinese enterprises and consumers.

$35B
Investor undisclosed
A $35B round for a Chinese LLM company in mid-2026 signals that enterprise AI adoption in China has moved past pilot phase—this is infrastructure-scale capital, not exploration money. If you're building AI applications anywhere, watch whether this capital goes to model weights vs. vertical solutions; that tells you if the moat is shifting from model quality to domain expertise and data. The undisclosed investor list is notable—likely state-backed or strategic players, which means geopolitical fragmentation of AI stacks is now a real constraint for any founder with international ambitions.
北
🇨🇳

北京比特智路信息技术有限公司

AI Infrastructure

北京比特智路 develops AI infrastructure including IC design and foundational AI software for enterprise applications.

$34K
Investor undisclosed
No funding amount disclosed, so this reads more as a cap table update than a real signal—hard to tell if this is a small follow-on or a larger round they're keeping quiet. If you're building enterprise AI tooling in China, the investor mix (regional VCs + what looks like a Alibaba-affiliated fund) suggests domestic infrastructure plays are still getting backed, but the opacity here is a yellow flag on whether this space is actually heating up or just consolidating.
Moonshot AI logo
🇨🇳Moonshot AILLM Infra

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

$35B
Investor undisclosed
A $35B round for a Chinese LLM platform signals the capital intensity of competing in frontier models hasn't peaked—and that non-US players can still raise at scale despite geopolitical friction. If you're building agent/agentic workflows, watch whether Kimi's operator layer becomes a distribution moat; if they're winning on ease-of-use for complex tasks, that's a real threat to the fragmented agent tooling market.
F
🇺🇸FreehandEnterprise AI / Supply Chain Automation

Freehand builds autonomous AI agents that automate enterprise supply chain operations from procurement to payments.

$75MSeries A
Battery Ventures logo
Battery Ventures
NPN
A $75M Series A for supply chain automation signals that enterprise AI is moving past chatbots into workflows with real P&L impact—procurement and payments are high-friction, high-dollar processes where automation ROI is immediate and measurable. If you're building in adjacent back-office automation (AP/AR, inventory, logistics), this validates that buyers will fund large rounds for agents that touch cash flow, not just productivity gains.
Fish Audio logo
Fish AudioAudio AI

Fish Audio builds AI models for voice synthesis and audio generation.

$52MSeed
Investor undisclosed
A $52M seed round for audio AI signals that voice synthesis has moved past the hype phase—investors are betting on real product-market fit, not just research. At this stage and size, Fish Audio is likely building infrastructure (model training, inference optimization, API reliability) to compete with Eleven Labs and ElevenLabs-adjacent players rather than chasing consumer apps. If you're building anything that needs realistic voice output—whether that's video localization, interactive agents, or accessibility tools—you should care because this validates that audio AI tooling is becoming a commodity, which means your moat has to live elsewhere.
E
🇺🇸EliyanAI Chip Infrastructure

Eliyan builds AI chip infrastructure to eliminate data bottlenecks in high-performance computing systems.

$145MSeries C
Investor undisclosed
A $145M Series C for AI chip infrastructure signals that the bottleneck narrative—moving data faster than compute can consume it—is now a fundable thesis, not just a technical complaint. At this stage and size, Eliyan is likely scaling manufacturing partnerships and building out go-to-market with hyperscalers, which means the market is past proof-of-concept. If you're building anything that touches GPU utilization, memory hierarchies, or data movement (inference optimization, training frameworks, etc.), watch whether Eliyan's customers start standardizing on their approach—it'll reshape what's actually possible in your stack.
C
ChipAgentsAI for Chip Design

ChipAgents builds AI agents that accelerate chip design workflows for semiconductor engineers.

$60M
Investor undisclosed
A $60M Series B for chip design automation signals that AI-for-engineering is moving past hype into workflows where latency and correctness actually matter—this isn't chatbot territory. If you're building AI agents for any domain with high verification costs (biotech, mechanical design, manufacturing), watch how ChipAgents monetizes: they'll likely move from per-seat licensing to outcome-based pricing, which changes your entire GTM.
E
🇺🇸EliyanAI Chip Infrastructure

Eliyan builds AI chip infrastructure to eliminate data bottlenecks in high-performance computing systems.

$145MSeries B
Investor undisclosed
A $145M Series B for an AI chip infrastructure play signals that the bottleneck narrative has shifted from compute to data movement—investors are betting the next wave of AI efficiency gains come from I/O, not raw FLOPS. At this stage and size, Eliyan is likely scaling manufacturing partnerships and building out go-to-market with hyperscalers, which means the space is moving past pure R&D into commercialization. If you're building anything that touches GPU clusters or data centers, this validates that customers are actively shopping for solutions to their interconnect problems, not just talking about them.
C
ChipAgentsAI for Chip Design

ChipAgents builds AI agents that accelerate chip design workflows for semiconductor engineers.

$60MSeries A2
Investor undisclosed
A $60M Series A2 for chip design automation signals that VCs are betting hard on AI-for-X verticals where domain expertise + compute savings create real unit economics—not just hype. ChipAgents is likely burning this on hiring domain engineers, building proprietary training data, and expanding their agent capabilities across the full design flow. If you're building AI tools for other capital-intensive, expertise-heavy workflows (biotech, EDA, manufacturing), this validates that investors will fund multiple rounds if you can show concrete time/cost reduction per project.
R
🇮🇳RevspotSales Automation

Revspot uses AI to automate lead generation, qualification, and engagement for high-ticket B2C sales teams via voice and WhatsApp.

$4.8MSeries A
I
Inflexor Ventures
IPS
+1
A $4.8M Series A for voice+WhatsApp lead automation signals that high-ticket B2C sales (real estate, insurance, auto) is finally getting serious about AI-driven outreach—the unit economics only work if you're hitting 100+ leads/day at scale. If you're building any kind of sales workflow tool, watch how Revspot handles voice quality and compliance; those are the actual moats, not the AI itself.
M
🇨🇳Mineng TechnologyNeuromorphic Computing

Mineng Technology builds ultra-low-power neuromorphic chips for medical AI inference, consuming 1/1000th the energy of GPUs.

UndisclosedSeries A
Investor undisclosed
Kimi logo
🇨🇳KimiLLM

Kimi is an AI assistant with LLM-powered API services and developer tools for enterprises and developers.

$35BSeries F
Investor undisclosed
A $35B Series F for a Chinese LLM API play signals that enterprise AI infrastructure is consolidating around a few deep-pocketed players who can afford the compute arms race—this isn't about product-market fit anymore, it's about who can sustain R&D burn at scale. If you're building developer tools or SaaS on top of LLMs, watch whether Kimi's API pricing or latency becomes a competitive moat; if they're raising this much, they're likely subsidizing inference to lock in volume, which changes the unit economics for anyone building on top.
Moonshot AI logo
🇨🇳Moonshot AILLM Infra

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

UndisclosedSeries F
Investor undisclosed
D
🇺🇰DwellyAI Rollup / Property ManagementVerified

Dwelly acquires UK letting agencies and automates property management through AI-powered tenant communications, maintenance, and rent collection.

$170MSeries B
E
EQT Growth
General Catalyst logoTM
+2
A $170M Series B for a property management rollup signals that consolidation + automation of fragmented, analog industries is still fundable at scale—especially when you can show unit economics improve post-acquisition. If you're building in any other UK service business with high touch (cleaning, maintenance, staffing), this validates that the playbook works: buy fragmented players, layer in AI/automation to cut opex, and LPs will fund the roll-up aggressively.
D
🇺🇸DeepLearning.AIAI Education

DeepLearning.AI provides AI and machine learning courses for developers and professionals seeking to build expertise in artificial intelligence.

$100MStrategic
C
Coursera
Coursera's $100M strategic bet on DeepLearning.AI signals that AI education is moving from hobbyist upskilling to enterprise talent pipeline—they're not acquiring a course library, they're buying distribution and credibility in a category that's now table-stakes for hiring. If you're building any B2B2C developer tool or platform, this validates that companies will pay for structured paths to competency, not just access to raw models.
Fish Audio logo
Fish AudioAudio AI

Fish Audio builds AI models for voice synthesis and audio generation.

$52MVenture
C
Coreline Ventures
A $52M Series B for voice synthesis in mid-2026 signals the market has moved past 'can we make decent AI voices' to 'who owns the infrastructure layer.' Fish is likely spending this on compute for model training, data licensing, and sales motion to lock in enterprise customers before the space consolidates. If you're building anything that needs voice output—whether that's gaming, customer service, or content creation—watch whether Fish becomes a platform dependency or gets acqui-hired; either outcome changes your go-to-market.
米
🇨🇳

米能科技

Neuromorphic Chips

米能科技 builds spiking neural network chips for medical devices using neuromorphic computing.

Undisclosed
Investor undisclosed
P
🇸🇬PsalionWeb3/Blockchain Infrastructure

Psalion builds venture funds for early-stage blockchain infrastructure startups focused on stablecoins, tokenized assets, and trade finance.

$50MFund Launch
Investor undisclosed
A $50M fund specifically for blockchain infrastructure around stablecoins and tokenized assets signals that LPs think the plumbing layer is finally investable again after the 2022 collapse—they're betting on rails, not tokens. If you're building in adjacent fintech infrastructure (payments, settlement, custody), this matters because it shows capital is flowing to unsexy-but-necessary primitives, which means your TAM just got validated by institutional dry powder.
Z
🇨🇭ZuriQQuantum Computing

ZuriQ builds scalable quantum chip architecture for researchers and enterprises using novel design principles from ETH Zurich.

$25.5MSeed
Investor undisclosed
A $25.5M seed for quantum hardware from ETH Zurich spinout signals that deep-tech investors are finally writing bigger checks for pre-revenue physics—this isn't a Series A disguised as seed, it's genuine conviction in the architecture risk. They're likely burning this on fab partnerships and talent to prove scalability before needing a massive Series A. If you're building AI infrastructure or specialized compute, watch how ZuriQ's chip roadmap evolves; quantum-classical hybrid stacks are becoming table stakes for certain workloads, and early positioning matters.
E
🇺🇰European Technology NetworkTech Media

European Technology Network produces a daily live-streaming tech news and interview show featuring startup founders and industry leaders.

$1.6MSeed
P
Powerhouse Capital
ALO
+1
A $1.6M seed for a daily live-streaming show signals that founder-to-founder content is becoming a defensible distribution moat—not just a nice-to-have. The investor mix (Axel Springer + media angels + AI insiders) suggests they're betting on live tech discourse as a recruiting/credibility tool for founders, which means if you're building B2B SaaS or deep tech, you should care about where your audience actually hangs out for unfiltered founder takes.
M
🇪🇸Multiverse ComputingAI Model OptimizationVerified

Multiverse Computing compresses large AI models by up to 95% using quantum-inspired methods, reducing compute costs while maintaining accuracy.

$545MSeries C
F
Forgepoint Capital
BSE
+6
A $545M Series C for model compression signals that inference cost has become the real bottleneck for AI adoption—not training. If you're building anything that runs models at scale (RAG, agents, edge deployment), this validates that customers will pay for solutions that cut your compute bill by 10x, which means your unit economics just got a lot more defensible.
词
🇨🇳

词元无限

LLM Infra

词元无限 builds enterprise AI agent infrastructure and services for organizations deploying large language models.

UndisclosedAngel++
Investor undisclosed
词
🇨🇳

词元无限

LLM InfraVerified

词元无限 builds enterprise AI agent infrastructure and services for organizations deploying large language models.

UndisclosedAngel
临
临芯投资
华
A Chinese angel round in July 2026 with domestic investors signals continued appetite for early-stage tech in China despite macro headwinds, though the lack of international co-investors suggests either a domestic-first strategy or tighter cross-border capital flows. If you're building infrastructure or B2B SaaS in Asia, watch whether this founder's next round stays domestic or pivots to Singapore/HK—that'll tell you if the capital arbitrage is shifting.
K
🇨🇳Kando AIAI Development Tools

Kando AI builds an AI-powered decision-making tool for professionals, positioning itself as an IDE for complex business decisions.

UndisclosedSeed
Investor undisclosed
正
🇨🇳

正奇未来

Physics AI

正奇未来 builds physics simulation and modeling AI for researchers and engineers.

UndisclosedAngel
Investor undisclosed
D
🇨🇳Delta IntelligenceAI

Delta Intelligence builds AI solutions for enterprise customers in China.

$70MAngel++
Investor undisclosed
A $70M angel-stage round for a China-focused enterprise AI company signals that late-stage capital is treating the region's AI infrastructure play as de-risked enough to skip traditional Series A/B staging—likely because the founder has existing revenue or distribution. If you're building B2B AI tools, watch whether Delta's go-to-market (probably direct sales to state-owned enterprises or large manufacturers) becomes the template for selling into regulated verticals where relationships matter more than product velocity.
H
🇨🇳Heguang QuantumQuantum Computing

Heguang Quantum builds photonic quantum computing systems with deterministic error correction for hybrid classical-quantum applications.

UndisclosedSeed
Investor undisclosed
I
🇺🇸ImagiEdTechVerified

Imagi teaches K-12 students coding, computer skills, and AI literacy through safe, partnered AI tools.

$4.5MSeed
Investor undisclosed
A $4.5M seed for K-12 AI literacy signals investors believe schools will actually adopt AI tools (not just talk about it)—and that the bottleneck is curriculum + trust, not technology. Imagi's likely spending this on teacher training, content production, and school partnerships to move from pilot to district-level deals. If you're building any B2B2C product targeting schools, watch how they navigate procurement and compliance; that playbook matters more than the AI angle.
R
🇸🇬RopediaRobotics Data Infrastructure

Ropedia captures multimodal human experience data via wearables to train robots and embodied AI systems.

$22MPre-Series A
Investor undisclosed
A $22M pre-Series A for wearable-based robot training data is a strong signal that embodied AI is moving past simulation—investors believe real human motion capture at scale is now the bottleneck, not model architecture. If you're building in robotics, autonomous systems, or even motion-heavy gaming/VR, this validates that multimodal human data collection is fundable infrastructure, not a nice-to-have.
D
🇨🇳DeeploreRoboticsVerified

Deeplore builds AI-powered diving masks and underwater exploration platforms for ocean researchers and divers.

UndisclosedSeed
五源资本 logo
五源资本
顺
Two tier-1 Chinese VCs backing a seed round in mid-2026 suggests continued appetite for early-stage tech in China despite macro headwinds—worth watching if you're building B2B infrastructure there. The dual-investor structure (Five Sources + Shunwei) is typical for de-risking in the current environment, so expect this founder to have strong existing traction or a recognizable founding team. If you're in adjacent verticals (fintech, enterprise software, AI tooling), this signals that Chinese VCs are still writing checks at seed, just with higher bar on proof points.
豚
🇨🇳

豚合域

AI Agents

豚合域 builds monetization infrastructure for AI agents, enabling new revenue models for intelligent agent developers.

UndisclosedSeed
Investor undisclosed
Etched logo
🇺🇸EtchedChip Design

Etched designs custom AI chips manufactured by TSMC to compete with Nvidia's offerings.

$300MSeries C
Sequoia logo
Sequoia
A $300M Series C for a chip design startup signals that the AI infrastructure stack is fragmenting—Sequoia's betting that custom silicon for specific workloads (likely inference) can undercut Nvidia's margin moat faster than anyone expected. At this stage and size, Etched is probably burning cash on TSMC tape-outs and building out go-to-market for cloud providers; if they're raising this much, they've likely already proven a working chip. If you're building any AI application that's compute-bound, watch whether Etched's chips actually ship at scale—it changes your unit economics calculus.
Etched logo
🇺🇸EtchedChip Design

Etched designs custom AI chips manufactured by TSMC to compete with Nvidia's offerings.

$300M
Investor undisclosed
A $300M raise for custom AI chip design signals serious capital is flowing toward Nvidia alternatives, but the real test is whether Etched can actually move volume—design is one thing, manufacturing at scale and winning design-ins from hyperscalers is another. If you're building inference optimization, compiler tooling, or anything that sits between chips and models, this validates that the hardware layer is fragmenting faster than most founders think.
Atoms logo
🇺🇸AtomsRobotics

Atoms builds a universal robotics platform for heavy industry and logistics automation.

$1.7B
Andreessen Horowitz logo
Andreessen Horowitz
BFUber logo
A $1.7B round for a robotics platform signals that heavy industry automation has crossed from R&D theater into deployment reality—investors are betting on standardized platforms replacing one-off integrations. The check size and Uber's involvement suggest Atoms is being positioned as infrastructure for logistics at scale, not just a point solution, which means they're likely burning cash on field ops, hardware iteration, and customer implementations rather than pure software. If you're building in adjacent automation spaces (manufacturing software, supply chain optimization, fleet management), watch whether Atoms' platform approach actually reduces customer switching costs or just creates a new vendor lock-in—that'll tell you if the market is consolidating around platforms or staying fragmented.
灵
🇨🇳

灵初智能

AI

灵初智能 builds AI solutions for enterprise applications using advanced machine learning.

$100M
奇
奇瑞
蓝
A $100M check from Chery (major auto OEM) into a Chinese enterprise AI company signals serious conviction that AI-in-manufacturing is moving from pilot to production—especially in supply chain and quality control. If you're building B2B AI tools, watch whether this capital flows toward vertical-specific models (automotive-tuned LLMs) vs. horizontal platforms; that'll tell you if the market is consolidating around industry expertise or staying generalist.
Aegis AI logo
Aegis AIAI

Aegis AI builds AI-powered security and risk management solutions for enterprise customers.

$36MSeries A
Battery Ventures logo
Battery Ventures
A $36M Series A for enterprise security AI signals that buyers are moving past pilots—they're willing to fund companies solving the integration problem of AI into existing risk workflows, not just point solutions. If you're building B2B infrastructure in adjacent compliance or ops spaces, this validates that enterprises will pay for AI that reduces liability surface, not just efficiency gains.
Atoms logo
🇺🇸AtomsRobotics

Atoms builds a universal robotics platform for heavy industry and logistics automation.

$1.7BVenture
a16z logo
a16z
A $1.7B Series B for industrial robotics signals that the unit economics finally work at scale—logistics automation is moving from pilot purgatory to actual deployment. If you're building in adjacent automation (warehouse software, fleet ops, supply chain visibility), this validates that customers will pay for end-to-end solutions, not just point products; a16z's check size suggests they see a path to $10B+ TAM. Watch whether Atoms' next 18 months focus on horizontal platform expansion or vertical deepening—that'll tell you if the bottleneck is now software/integration rather than hardware.
Mistral logo
🇫🇷MistralLLM InfraVerified

Mistral builds open-source large language models and AI infrastructure for developers and enterprises.

$1.1BStrategic
S
Samsung
Samsung's $1.09B strategic check into Mistral signals that open-source LLM infrastructure is now a hardware-adjacent play—not just a software bet. This is less about Mistral's model quality and more about Samsung securing on-device inference capability and avoiding Nvidia/OpenAI lock-in for their chip roadmap. If you're building anything that needs to run models locally or on edge hardware, watch how Mistral's infrastructure evolves; this capital likely funds inference optimization and enterprise deployment tooling, not just model training.
Mistral logo
🇫🇷MistralLLM Infra

Mistral builds open-source large language models and AI infrastructure for developers and enterprises.

$1.1BSeries D
S
Samsung
A $1.1B Series D for an open-source LLM company signals that the market still believes there's defensible value in model weights + developer tooling, not just inference APIs—especially with Samsung's strategic bet suggesting hardware-software integration is the next battleground. If you're building anything that touches LLM inference, deployment, or fine-tuning, this validates that enterprises will pay for alternatives to closed models, but you'll need either a moat in speed/cost or deep vertical integration to survive.
Moonshot AI logo
🇨🇳Moonshot AILLM Infra

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

UndisclosedPre-IPO
Investor undisclosed
G
Genius AIAI

Genius AI builds AI-powered solutions for enterprise customers.

$44MSeries D
Investor undisclosed
A $44M Series D for an enterprise AI platform in mid-2026 suggests the market is still rewarding generalist AI tooling, but the bar for differentiation is rising—this is likely a company with proven land-and-expand motion or a defensible vertical wedge. At this stage and size, they're probably burning $8-12M annually and using this to scale sales/GTM and build out proprietary data moats or domain-specific models. If you're building in adjacent enterprise software, watch whether they're hiring for specific verticals or doubling down on horizontal—that tells you if the consolidation play is working or if pure horizontal AI is hitting a ceiling.
P
🇨🇳PrimalVerse4D World Model

PrimalVerse builds 4D world model foundation models for AI applications, leveraging research from Tsinghua University.

UndisclosedSeed
Investor undisclosed
T
🇨🇳Tongzhou ZhihangAI

Tongzhou Zhihang builds autonomous navigation systems for maritime vessels using AI.

UndisclosedSeed
Investor undisclosed
Anthropic logo
🇺🇸AnthropicLLM Infra

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

$5BStrategic
AMD logo
AMD
AMD's $5B strategic bet signals that chip makers are now directly funding LLM companies to lock in compute relationships—this isn't just a capital play, it's supply-chain verticalization. Anthropic likely uses this to scale inference infrastructure and reduce dependency on NVIDIA, which means the LLM moat is shifting from model weights to reliable, cheaper compute. If you're building any AI product, watch whether AMD's chips actually move the needle on latency/cost; if they do, your unit economics just got a new variable.
Z
🇨🇳Zhongji InnolightOptical Components

Zhongji Innolight manufactures optical components for AI infrastructure and data centers.

$8BIPO
Investor undisclosed
An $8B IPO for an optical component maker signals that AI infrastructure capex is now mature enough to support standalone hardware suppliers—this isn't speculative anymore, it's industrial. If you're building anything in the compute/networking stack, this validates that customers will pay premium prices for specialized silicon/optics that solve real bottlenecks, not just generic compute.
3
🇮🇳30 SundaysAI-Powered Travel Planning

30 Sundays builds an AI-powered holiday planning platform for Indian travelers with video-first conversational booking.

$7KSeries A
Bessemer Venture Partners logo
Bessemer Venture Partners
IE
Kimi logo
🇨🇳KimiLLM

Kimi is an AI assistant with LLM-powered API services and developer tools for enterprises and developers.

UndisclosedPre-IPO
Investor undisclosed
R
🇨🇳RealAIAI SecurityVerified

RealAI builds AI safety and security technology to make large language models more secure and trustworthy.

UndisclosedSeries B
Investor undisclosed
Chinese institutional capital (招商局, 星连) backing a Series B signals serious appetite for digital trade infrastructure plays in Asia—this isn't just venture money, it's strategic. At this stage with this investor mix, they're likely scaling ops/compliance/GTM across Southeast Asia, which means the category has moved past proof-of-concept. If you're building cross-border fintech or logistics, watch whether this company's unit economics hold as they expand regionally—that'll tell you if the margin structure actually works at scale.
熊
🇨🇳熊熊AIAIGC

熊熊AI builds an AIGC platform for short-form drama creation, automating content production workflows.

$140K
Investor undisclosed
A $100K round for a Chinese short-form drama AIGC tool signals the space is still in scrappy validation mode—this isn't Series A heat, it's founder-bootstrapped or angel-backed experimentation. The bet is that automating drama workflows (scriptwriting, character generation, editing) can compress production timelines enough to compete with human creators on volume. If you're building in video synthesis or creator tools, watch whether this company's retention curve actually holds—AIGC content platforms have a graveyard of failed launches because automation alone doesn't solve distribution or audience taste.
Humanoid logo
🇺🇰HumanoidRoboticsVerified

Humanoid builds advanced humanoid robots for industrial and commercial applications.

$152MSeries A
P
Prime Movers Lab
A $152M Series A for a humanoid robotics company signals that the market is finally willing to fund the *execution* phase, not just the research phase—this is real capital flowing to hardware that's supposed to work in actual factories, not labs. At this stage and size, Humanoid is likely burning cash on manufacturing scale-up, supply chain, and field deployment teams, which means they've probably already proven some form of unit economics or customer traction. If you're building in adjacent hardware spaces (autonomous systems, industrial software, logistics), watch whether Humanoid's customers start demanding integration APIs—that's where the real margin sits.
I
🇺🇸InfinityAI Infrastructure

Infinity builds a CUDA-alternative kernel software that enables AI models to run efficiently on any chip.

$15MSeries A
T
Touring Capital
P
A $15M Series A for a CUDA alternative signals real appetite to break Nvidia's inference moat—but the bar for adoption is brutal (you need both chip partners AND model builders to switch). If you're building AI infra, this validates that chip-agnostic execution is fundable, but watch whether Infinity actually lands design wins or stays a technical proof-of-concept; the money likely goes to hiring compiler engineers and building out chip support, not sales.
红
🇨🇳红熊AIMemory Science / Learning Tech

红熊AI builds memory science-powered AI tools for enterprises and consumers to enhance learning and retention.

UndisclosedSeries A+
Investor undisclosed
E
EmergentSoftware Development

Emergent builds an AI platform that helps software developers write and ship code faster.

UndisclosedSeries C
Investor undisclosed
M
MeshyAI

Meshy builds AI-powered 3D content generation tools for creators and enterprises.

$400MSeries B
Investor undisclosed
A $400M Series B for 3D generation signals that generative AI tooling is moving past text/image into spatial content—investors are betting creators will pay for this faster than they're paying for most other AI tools. Meshy likely uses this to scale inference infrastructure and build out enterprise workflows (think game studios, e-commerce), not just consumer features. If you're building in any creator tool space, watch whether they're actually hitting unit economics or just burning through capital to own the category.
CuspAI logo
🇺🇰CuspAIMaterials DiscoveryVerified

CuspAI uses AI to discover novel materials and predict their properties for sustainable energy and advanced computing applications.

$450MSeries B
Kleiner Perkins logo
Kleiner Perkins
NEA logoUJ
+10
A $450M Series B for materials discovery signals that deep-tech physics sims are finally hitting venture scale—the bet is that AI can compress years of lab iteration into months. If you're building in climate tech, semiconductors, or battery chemistry, this validates that investors will fund the unsexy infrastructure layer if your unit economics show real time/cost compression; watch how CuspAI deploys this capital (likely toward compute, validation partnerships, and hiring PhDs) as a template for what Series B looks like in your space.
Y
🇨🇳Yimu TechRobotics

Yimu Tech builds tactile sensing hardware and software for robots to perceive and interact with their environment.

$14MSeries E
Investor undisclosed
A $14M Series E for tactile sensing in 2026 signals that robot manipulation—not just vision—is finally becoming table stakes for industrial automation. This is money for scaling manufacturing and field deployment, not R&D, which means the tech works and customers are asking for it. If you're building any hardware that needs to interact with physical objects (grippers, inspection tools, autonomous systems), watch how Yimu's customers actually integrate this; tactile feedback is the unsexy blocker most founders underestimate.
一
🇨🇳

一目科技

RoboticsVerified

一目科技builds tactile sensing materials, chips, and AI algorithms for robots to perceive touch.

$140MSeries E
Investor undisclosed
A $140M Series E for tactile sensing in 2026 signals that robot dexterity—not just vision—is now table stakes for industrial automation buyers; this is money flowing toward the unsexy but critical layer between perception and manipulation. If you're building in embodied AI, supply chain robotics, or even haptic interfaces, watch whether 一目's tech becomes the standard input layer that OEMs expect, because that's when your own product roadmap needs to account for it.
两
🇨🇳

两仪万象

Quantum Computing

两仪万象 develops quantum computing technology and solutions for enterprise applications.

UndisclosedSeries A+
君
君联资本
北上北
+3
A Series A+ with seven co-investors (mix of tier-1 Chinese VCs + strategic players like iFlytek) signals this is a China-first deep tech or AI play that's already showing traction—they're not syndicating this wide unless there's real product-market fit or defensible IP. The investor mix (corporate strategics + generalist VCs) suggests they're betting on either enterprise adoption or a platform play that needs distribution. If you're building in adjacent AI/speech/enterprise software in Asia, watch how this company monetizes—the co-investor structure usually means they're solving for go-to-market, not just R&D.
L
🇨🇳Liangyi WanxiangQuantum Computing

Liangyi Wanxiang develops quantum computing technology and solutions for enterprise applications.

UndisclosedSeries A+
Investor undisclosed
BXI Robotics logo
🇨🇳BXI RoboticsRobotics

BXI Robotics builds full-stack humanoid robots with proprietary motors and control software for enterprise deployment.

Undisclosed
S
Suochen Technology
F
Databricks logo
🇺🇸DatabricksData & Analytics Infrastructure

Databricks builds a unified data and AI platform on Apache Spark for enterprises to engineer, analyze, and model data at scale.

Undisclosed
Investor undisclosed
W
🇸🇬WhaleEnterprise AI

Whale builds an AI operating system that processes camera, sensor, and audio data to provide real-time intelligence for physical spaces like stores and factories.

$40MSeries C
C
CMB International
SKS
+7
A $40M Series C for edge AI in physical spaces signals that multimodal sensor fusion (camera + audio + IoT) is moving from R&D into deployment—the investor mix (Bosch, Hyundai, SMBC, Singtel) suggests real enterprise traction, not just pilots. Whale's likely burning this on scaling inference infrastructure, field ops teams, and vertical-specific models (retail loss prevention, factory safety). If you're building any B2B software that touches physical spaces—logistics, QA, security—watch how Whale prices per-location and handles the sales cycle; that unit economics playbook will define what's actually fundable in this category.
国
🇨🇳

国科微

AI Chip

国科微 builds edge AI chips for research and industrial applications in China.

$708.5MStrategic
Investor undisclosed
A $708M strategic round for a Chinese edge AI chip maker signals serious domestic capital mobilization around inference hardware—likely driven by export restrictions making self-sufficiency non-negotiable. At this stage and size, expect heavy R&D spend on next-gen process nodes and vertical integration into specific verticals (industrial IoT, robotics). If you're building AI applications in Asia-Pacific, this matters: Chinese chip stacks are becoming viable alternatives to Nvidia for latency-sensitive workloads, which changes your hardware assumptions and go-to-market calculus.
栖
🇨🇳

栖影文化

Animation AI

栖影文化 builds AI-powered 2D animation production software for studios to reduce costs and accelerate production timelines.

UndisclosedAngel
Investor undisclosed
斯
🇨🇳

斯年智驾

Autonomous Driving

斯年智驾 builds autonomous driving technology and self-driving solutions for commercial vehicles.

$42M
Investor undisclosed
A $42M round for a Chinese commercial autonomous vehicle company in mid-2026 signals that the AV market is bifurcating—while consumer robotaxi hype has cooled, logistics/trucking autonomy remains well-funded because it has clearer unit economics and regulatory paths. If you're building in robotics, last-mile delivery, or fleet ops software, this validates that buyers will pay for autonomous solutions that reduce driver costs, not just novelty.
Reo.Dev logo
🇮🇳Reo.DevSales Intelligence

Reo.Dev builds AI sales intelligence for enterprise teams, identifying buying intent from developer activity to target technical prospects.

$11.3MSeries A
E
Elevation Capital
HIG
An $11.3M Series A for developer-intent signals that enterprise sales tooling is shifting from firmographic guessing to behavioral data—Elevation's bet suggests they see real traction in the GTM-for-technical-buyers wedge. If you're building anything that touches sales workflows or developer targeting, watch how Reo.Dev monetizes: the real margin is in making intent data *actionable* for sales teams, not just collecting it.
Fireworks logo
🇺🇸FireworksLLM Infra

Fireworks builds a serverless LLM inference platform for developers to deploy and run large language models at scale.

Undisclosed
Investor undisclosed
S
🇫🇷SynteticaCircular Economy / Materials Recycling

Syntetica recycles mixed nylon waste into high-value materials using a patented single-process technology.

$30MSeries A
B
Bpifrance Ecotechnologies
LMS
+4
A $30M Series A with strategic LPs (Lululemon, MAS Holdings, Indorama) signals that nylon waste recycling has moved past pilot phase—these are actual apparel/fiber buyers committing capital, not just ESG theater. Syntetica is likely scaling production capacity and supply chain partnerships to hit commercial volumes. If you're in materials science or circular supply chains, watch how they handle the unit economics gap between recycled nylon cost and virgin nylon pricing—that's the real moat, not just the tech.
Mistral logo
🇫🇷MistralLLM Infra

Mistral builds open-source large language models and AI infrastructure for developers and enterprises.

UndisclosedSeries D
E
EQT
Groyyo logo
🇮🇳GroyyoB2B Supply Chain

Groyyo connects fashion brands with verified garment factories using AI to digitize and optimize the entire supply chain.

$1Series B
C
Cornerstone Ventures
Tiger Global logoAS
+1
Vorflux logo
🇺🇸VorfluxEnterprise AI Software Engineering

Vorflux automates the full software development lifecycle using specialized AI agents for planning, coding, testing, and review.

$15MSeed
Y Combinator logo
Y Combinator
PPA
+3
A $15M seed for full-stack SDLC automation signals investors believe AI agents can now handle multi-step workflows reliably enough to replace junior engineers—this is the bet, not just code completion. If you're building in adjacent automation spaces (QA, DevOps, infrastructure), watch whether Vorflux's unit economics actually work; if they do, your TAM just got compressed and your go-to-market needs to be narrower or deeper.
Rize logo
🇸🇬RizeSustainable Agriculture

Rize helps Southeast Asian smallholder rice farmers adopt low-emission practices with field-to-buyer traceability and carbon credits.

$31MSeries B
B
BNP Paribas Asset Management Alts
TTB
+3
A $31M Series B for agricultural carbon credits signals that blended finance (foundations + commercial VCs + regional banks) is now the playbook for climate ag in emerging markets—the returns case alone wasn't enough. If you're building supply-chain transparency or traceability tools in agri, this validates that buyers (especially regional corporates under ESG pressure) will pay for verified low-emission sourcing, which means your unit economics don't have to be pure SaaS.
SwitchOn logo
🇮🇳SwitchOnPhysical AI / Manufacturing Inspection

SwitchOn builds AI-powered visual inspection systems for manufacturers to automatically detect defects on production lines using computer vision.

$8MPre-Series B
I
IvyCap Ventures
ST
An $8M pre-Series B for manufacturing inspection signals that visual AI for physical processes is moving past proof-of-concept—investors are betting on unit economics that work at scale. SwitchOn likely uses this to expand sales ops and build out vertical-specific models (automotive, electronics, pharma each need different training). If you're building any kind of defect detection, quality control, or asset monitoring system, watch how they price and deploy: the playbook for selling AI to risk-averse manufacturers is still being written, and their go-to-market will tell you whether it's land-and-expand or land-and-customize.
microagi logo
🇩🇪microagiRoboticsVerified

microagi trains humanoid robots for manufacturing and household automation using factory and household data.

$55MSeed
H
Hummingbird
Northzone logoLocalGlobe logoV
+1
A $55M seed for a robotics training company signals that investors believe the data moat (factory + household footage) matters more than the hardware itself right now—they're betting on software/training as the defensible layer. If you're building in embodied AI, autonomous systems, or even synthetic data generation, this validates that the bottleneck isn't compute or models anymore; it's high-quality, domain-specific training data at scale.
Aina logo
🇮🇳AinaAI Hardware

Aina builds context-aware AI hardware interfaces that let users interact with AI assistants without apps or keyboards.

$5.5MSeed
R
Redstart Labs
3MA
+6
A $5.5M seed for hardware-first AI interaction from India signals investors believe the app-based AI interface is already commoditized—they're betting the next wave is ambient/contextual. Aina's likely burning this on custom silicon, manufacturing partnerships, and go-to-market in India first. If you're building any consumer AI product, watch whether hardware-first actually solves the cold-start problem better than software; if Aina gains traction, it means your app-only strategy might be obsolete faster than you think.
Bloom Energy logo
🇺🇸Bloom EnergyAI Infrastructure

Bloom Energy builds fuel cells for distributed power generation and AI infrastructure.

$1.7BStrategic
I
IDF
O
A $1.7B strategic round for fuel cells signals that power density—not just compute—is now a hard constraint for AI infrastructure. Bloom is likely deploying capital into manufacturing scale and customer deployment support (hyperscalers need on-site generation to hit their power budgets). If you're building anything that touches data center ops, cooling, or energy arbitrage, watch how quickly Bloom's units get embedded into the next generation of AI clusters; it's a leading indicator that power infrastructure is becoming a competitive moat, not a commodity.
灵
🇨🇳

灵巧智能

Robotics

灵巧智能 builds AI-powered robotic systems for industrial automation and manufacturing.

UndisclosedSeries A
Investor undisclosed
A Series A in July 2026 with Shanghai Electric as a backer signals serious industrial/energy infrastructure play—this investor doesn't do consumer or pure software. The round size isn't disclosed, but Series A with a strategic corporate co-investor typically means $15-40M and goes straight into manufacturing partnerships, regulatory compliance, or supply chain. If you're building in adjacent industrial verticals (grid tech, thermal systems, automation), watch whether this company's go-to-market relies on Shanghai Electric's distribution—that's the moat you'd need to compete against or partner with.
D
🇨🇳DexRobotRobotics

DexRobot builds dexterous robotic systems powered by embodied AI for education, industrial, and power sector applications.

UndisclosedSeries A
S
Shanghai Electric
Shanghai Electric leading a Series A signals industrial/energy infrastructure is attracting strategic corporate capital, not just VCs—expect more CVC money flowing into cleantech and grid modernization over the next 18 months. The company is likely burning through this on field deployment, regulatory compliance, or scaling manufacturing capacity rather than product development. If you're building in adjacent industrial verticals (HVAC controls, microgrid software, demand response), watch how this company structures partnerships with utilities—that playbook will define how corporates actually buy from startups in this space.
ModelBest logo
🇨🇳ModelBestEdge AI

ModelBest builds efficient language models for on-device deployment across smartphones, vehicles, and IoT devices.

$700M
Investor undisclosed
A $700M Series round for edge AI in China signals the government is betting hard on on-device inference as strategic infrastructure—this isn't just venture capital, it's state backing. ModelBest's mix of automotive OEMs and national funds suggests the real play is embedding AI into vehicles and IoT at scale, not consumer phones. If you're building anything that needs to run locally without cloud dependency (robotics, industrial automation, autonomous systems), watch how ModelBest's model compression techniques evolve—they'll likely become the efficiency baseline your competitors are measured against.
L
🇨🇳LimX DynamicsRobotics

LimX Dynamics builds humanoid robots with cognito-motor fusion for commercial and hospitality applications.

$200MPre-IPO
Investor undisclosed
A $200M pre-IPO round for a Chinese humanoid robot company signals the space is moving from R&D theater to deployment economics—someone's betting the unit economics work at scale in hospitality/commercial. If you're building in adjacent robotics, logistics automation, or even enterprise software for physical spaces, watch whether LimX's IPO filing reveals their actual utilization rates and customer acquisition costs; that's the real tell on whether humanoid robots are a viable wedge or still a capital sink.
Humanoid logo
🇺🇰HumanoidRobotics

Humanoid builds advanced humanoid robots for industrial and commercial applications.

$200MSeries B
A
Aramco
A $200M Series B from Aramco signals that sovereign wealth is now willing to bet on humanoid robotics at scale—this isn't just VC enthusiasm, it's capital committing to a 10+ year thesis. At this stage and size, Humanoid is likely burning through manufacturing scale-up, real-world deployment pilots, and the unglamorous work of making robots reliable enough for actual industrial sites (not just demos). If you're building in adjacent hardware (sensors, control software, simulation) or enterprise robotics, watch whether Aramco's portfolio companies become distribution channels—that's the real tell for whether this round opens doors or just funds one company's path to profitability.
DeepSeek logo
🇨🇳DeepSeekLLM

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

UndisclosedStrategic
Investor undisclosed
斯
🇨🇳

斯年智驾

Autonomous Driving

斯年智驾 builds autonomous driving technology and self-driving solutions for commercial vehicles.

$42MSeries C
Investor undisclosed
A $42M Series C for Chinese autonomous trucking in mid-2026 signals that commercial vehicle autonomy is moving past pilot purgatory—someone's betting on deployment scale, not just tech demos. At this stage and size, expect the capital going toward fleet ops infrastructure, regulatory relationships, and probably some customer acquisition in tier-2 logistics hubs. If you're building logistics software or fleet management tools, watch whether they're building or buying that layer—it'll tell you if there's still room for standalone plays or if autonomy stacks are consolidating.
N
🇺🇸Nous ResearchAgent AI

Nous Research builds Hermes, an open-source AI agent platform with web search, coding, and vision capabilities that runs locally or in the cloud.

$75MSeries B
R
Robot Ventures
USV logo
A $75M Series B for an open-source agent platform signals that the market is betting hard on *local-first* AI inference as a defensible moat—not just API-dependent agents. If you're building in adjacent agent spaces (automation, workflow, specialized reasoning), this validates that investors see real differentiation in owning the model layer, not just the orchestration layer. Watch how they monetize: open-source + cloud hosting is the play, which means your TAM might be bigger than you think if you can own a piece of the inference stack.
T
TYLSemiAI Chip DesignVerified

TYLSemi builds modular components for designing custom AI chips.

$43M
Investor undisclosed
A $43M Series B for chip design tooling signals that custom silicon for AI is moving from research into production—investors are betting on the infrastructure layer, not just the chips themselves. TYLSemi's modular approach suggests the market is consolidating around reusable building blocks rather than one-off designs, which means if you're building AI infrastructure (inference, training, or accelerators), you should be thinking about whether your roadmap depends on commodity chips or if you need custom silicon to hit your unit economics.
InstaLILY AI logo
InstaLILY AIAI

InstaLILY AI builds AI-powered solutions for enterprise customers.

$60MSeries B
E
Enegize Capital
A $60M Series B for an enterprise AI company signals that generalist AI tooling is still fundable if you've proven repeatable revenue—but the bar is higher than 2023. Watch whether InstaLILY's use of capital goes toward sales/GTM (mature product, scaling motion) or R&D (still solving core problems), since that tells you if enterprise AI is consolidating around winners or still in product-market search. If you're building vertical AI, this matters: it suggests horizontal enterprise AI players are still well-capitalized competitors, so your defensibility needs to be domain-specific, not just 'we use LLMs better.'
P
🇳🇱PromptwatchAI Search Optimization

Promptwatch helps companies optimize their visibility in AI chatbots like ChatGPT and Claude through specialized content and search optimization.

$6.5MSeed
S
Seed + Speed Ventures
BA
A $6.5M seed for AI search optimization signals that founders are already treating ChatGPT/Claude discoverability as a real distribution channel worth paying for—not a nice-to-have. If you're building B2B SaaS or content products, this matters: the SEO playbook you know is fragmenting, and visibility in LLM outputs is becoming table stakes. Watch whether Promptwatch's customers are mostly migrating SEO budgets or spending net-new—that tells you if this is a category shift or just reallocation.
面
🇨🇳

面壁智能

LLM

面壁智能 builds large language models and AI solutions for enterprise applications in China.

Undisclosed
Investor undisclosed
R
🇨🇳RoboPartyRobotics

RoboParty provides an open-source embodied AI platform for building and deploying intelligent robots.

$700KAngel++/Pre-A
Investor undisclosed
A $700K pre-seed for open-source robotics infra from China signals the space is still in platform-building mode—not yet at the "deploy at scale" stage where you'd see larger rounds. If you're building in embodied AI or sim-to-real, this matters because open-source robotics platforms are becoming the table stakes for talent and iteration speed; closed stacks are increasingly hard to recruit for.
W
🇨🇳Wallbreaker AILLM Infra

Wallbreaker AI builds large language model infrastructure for enterprises and developers in China.

$700M
Investor undisclosed
A $700M round for China-focused LLM infra signals that domestic AI stack buildout is still a priority despite regulatory uncertainty—this isn't a Series A, it's a scale round, meaning Wallbreaker likely already has enterprise traction and is racing to own the inference/deployment layer before a few players consolidate. If you're building AI tooling for any region with fragmented cloud infrastructure or regulatory constraints on US model access, watch how they're positioning around compliance and data residency—that playbook ports.
M
🇨🇳Mianbizhi IntelligenceAI

Mianbizhi Intelligence builds AI solutions for enterprise customers in China.

$700M
Investor undisclosed
A $700M round for a China-focused enterprise AI company signals that large-scale AI infrastructure plays are still fundable at massive scale, even as the market matures—this is likely Series B or C, meaning the company has proven repeatable enterprise sales. They're probably using this to build proprietary models, expand sales/ops teams, and lock in customers before the space consolidates. If you're building B2B AI tools, watch whether they're winning on cost-per-inference or on domain-specific accuracy; that'll tell you which moat actually matters in enterprise right now.
P
🇸🇬PixVerseAI Video Generation

PixVerse builds AI video generation tools for creators and game developers to produce videos and interactive worlds from text prompts and images.

$439MSeries C
Investor undisclosed
A $439M Series C for an AI video gen tool signals the category has moved past hype into infrastructure—this isn't a bet on whether text-to-video works, it's capital flooding toward whoever owns the creator workflow. PixVerse is likely using this to build out API/platform layers and lock in game dev partnerships before the space consolidates. If you're building any creator tool (design, music, 3D), watch how they're positioning around game engines and interactive content—that's where the defensibility actually lives.
Z
🇨🇳ZujidynamicRobotics

Zujidynamic builds humanoid robots for industrial and commercial applications.

$200MPre-IPO
Investor undisclosed
A $200M pre-IPO round for a Chinese humanoid robot company signals that industrial robotics is moving past hype into deployment—someone's betting on near-term revenue, not just R&D. If you're building in adjacent hardware (vision systems, motion control, industrial software), this validates that customers are actually buying and integrating these systems now, which means your TAM just got real.
Z
🇨🇳ZhipuLLM

Zhipu builds large language models and AI technologies for developers and enterprises in China.

UndisclosedStrategic
Investor undisclosed
可
🇨🇳可灵AILLM/Video Generation

可灵AI builds AI-powered video generation tools using large language models for content creators and enterprises.

$30B
B
BlueFive
A $30M round for a Chinese video-gen LLM tool in mid-2026 signals the category has moved past hype into infrastructure—but the size suggests either a Series A (meaning product-market fit exists) or a down round (meaning the space got crowded fast). If you're building in adjacent content automation, watch whether 可灵AI's investors are the same VCs now passing on Western competitors; that's your real signal about where capital thinks the moat is.
Helsing logo
🇩🇪HelsingAI Defense Technology

Helsing builds AI-powered defense technology for European militaries to enhance operational capabilities and decision-making.

$1.8BSeries B
Investor undisclosed
An $1.8B Series B for defense AI signals European governments are moving past procurement pilots into real deployment—this isn't theoretical anymore. If you're building B2G infrastructure software (logistics, supply chain, compliance), watch how Helsing structures its go-to-market with defense ministries; the sales cycles and contract mechanics will likely become the template for other critical infrastructure plays in Europe over the next 18 months.
幻
🇨🇳

幻码跃迁

Quantum Computing

幻码跃迁 builds quantum computing infrastructure that integrates quantum processors with AI applications.

UndisclosedSeed
Investor undisclosed
珞
🇨🇳

珞博智能

AI Toys

珞博智能builds AI-powered collectible toys for Gen Z consumers using interactive intelligence.

$14MPre-A
Investor undisclosed
A $14M pre-A for AI-powered collectibles signals China's consumer AI market is moving past chatbots into hardware/physical goods—this is where the real engagement loop lives. The ticket size suggests investors believe the unit economics work (likely high margins on digital-native toy mechanics), which matters if you're building any Gen Z consumer product with recurring engagement. If you're in gaming, social, or even education tech, watch how they monetize the AI layer—it's probably not just the toy, it's the companion app ecosystem.
A
🇨🇳AISHI TechnologyAI

AISHI Technology builds AI solutions for Chinese enterprises and developers.

$41.7MSeries C
Investor undisclosed
A $41.7M Series C for enterprise AI in China signals that the market has moved past chatbot novelty—this is about embedding AI into actual workflows at scale. At this stage and size, AISHI is likely burning cash on sales infrastructure and model fine-tuning for specific verticals (manufacturing, finance, logistics are the usual suspects). If you're building AI tooling for any regulated industry, watch how AISHI navigates compliance and data residency; Chinese enterprises have different requirements than Western ones, and their playbook could preview what you'll face in other geographies.
Helsing logo
🇩🇪HelsingAI Defense Technology

Helsing builds AI-powered defense technology for European militaries to enhance operational capabilities and decision-making.

$1.8B
G
Goldman Sachs
Lightspeed logo
A $1.8B round for a European defense AI startup signals that Western governments are moving past procurement inertia—they're actually writing checks for AI-native military tech, not just bolting AI onto legacy systems. If you're building B2G infrastructure software anywhere (supply chain, logistics, compliance), watch how Helsing structures its go-to-market with NATO allies; that playbook is about to get copied across every allied government's tech spending.