Edge AI Startup Funding 2025-2026

Last updated: 8 June 2026
market research pitch 2026 statistics edge AI market

In our edge AI market deck, you will find everything you need to understand the market

SUMMARY

We analyzed every publicly disclosed equity round raised by pure-play edge AI companies between July 2025 and June 2026, a 12-month window covering every geography. We only kept rounds of $300K or more, and included companies where AI inference runs on devices or compute nodes close to where data is generated, rather than only in centralized cloud data centers.

Over this period, fundraising in the edge AI market was active but very top-heavy. The dataset includes 26 disclosed deals and approximately $2.761B raised across 24 unique companies.

Capital in the edge AI market is highly concentrated. The largest deal alone represents 27.2% of total capital, the top 3 deals reach 51.6%, and the top 10 deals reach 90.1%.

The median round size in the edge AI market is $32.0M, while the average round size is $106.2M. That 3.3x gap shows how strongly a few large autonomy and infrastructure rounds pull up the market total.

Deal flow averaged 2.17 rounds per month, with a median of 2.0 rounds per month. Capital flow averaged roughly $230.0M per month, but the monthly picture is shaped by a small number of large rounds.

Vehicle Edge AI leads the market by capital, with $858.0M raised from only 3 deals. That category captures 31.1% of all disclosed capital despite representing only 11.5% of deal count.

On Prem AI leads the edge AI market by deal count. It produced 10 deals, or 38.5% of all disclosed rounds, and raised approximately $804.7M.

North America dominates the edge AI market by capital. The region captured approximately $2.150B, or 77.9% of disclosed funding, from 13 deals.

The edge AI market is more late-stage than early-stage by dollars. Seed and Series A rounds account for 25.4% of capital, while Series B, Series C, Series D+ and Growth Equity rounds account for 74.6%.

Follow-on rounds dominate the dataset. First financings appear, but most disclosed capital went to companies that had already shown technical progress, deployment traction, or strategic relevance.

Repeat investors cluster around physical AI, autonomy and distributed infrastructure. NVentures / NVIDIA, Intel Capital, Khosla Ventures, 8VC, Eclipse, and Armada’s existing investor base appear more than once across the funding pattern.

Market map chart showing top companies and startups in the edge AI market

This market map, featured in our edge AI market deck, highlights top companies and startups in the edge AI market

What are all the funding deals in the edge AI market from July 2025 to June 2026?

The table below lists every disclosed equity round raised by pure-play edge AI companies between July 2025 and June 2026. We count as “pure-play” edge AI companies those focused on AI inference running on end devices, sensors, cameras, robots, vehicles, phones, local gateways, industrial PCs, customer-site servers, or telecom and MEC edge nodes.

Each row shows the company, what it does, its category, the deal date, the funding stage, the round size, the region, the main investors where available in the dataset, and the announcement source. For a wider view of how edge AI fits into distributed inference, physical AI, robotics, cameras and on-prem compute, we cover it in our Edge AI market report.

Company What they do Category Date Stage Deal size Region Main investors Source
RealSense AI-powered depth vision, computer vision and machine perception systems for robotics, biometrics, embedded vision, autonomous mobile robots and physical AI Edge Vision Systems Jul 2025 Series A $50M North America Intel Capital noted in dataset Business Wire
Bedrock Robotics Autonomous retrofit systems for construction equipment, adding hardware and software to existing heavy machinery so it can operate autonomously on job sites Industrial Edge AI Jul 2025 Series A $80M North America 8VC; Eclipse noted in dataset PR Newswire
Armada Edge computing and AI stack infrastructure for deploying compute close to data sources, including remote and industrial environments On Prem AI Jul 2025 Growth Equity $131M North America Founders Fund; Lux Capital; Shield Capital; 8090 Industries; M12; Overmatch noted in dataset Armada
Netrasemi Edge AI system-on-chip products for IoT devices, surveillance, industrial robotics, smart home and retail automation On Prem AI Jul 2025 Series A $12.4M Asia-Pacific Zoho; Unicorn India Ventures Times of India
Lumana AI video security platform that turns existing security cameras into real-time intelligent monitoring, detection and response systems Edge AI Cameras Jul 2025 Series A $40M North America Not specified in provided dataset PR Newswire
FieldAI Embodied AI and robotic autonomy software for general-purpose robots operating in physically demanding industries Edge Vision Systems Aug 2025 Series A $405M North America NVentures / NVIDIA; Intel Capital; Khosla Ventures noted in dataset FieldAI
Nuro AI-first autonomous driving technology for delivery vehicles and robotaxi platforms Vehicle Edge AI Aug 2025 Series D+ $97M North America Not specified in provided dataset Nuro
Orchard Robotics Tractor-mounted AI camera and farm vision systems that collect crop-level data for fruit and specialty-crop growers Edge Vision Systems Sep 2025 Series A $22M North America Not specified in provided dataset Business Wire
Camera Intelligence AI-native camera platform for creators and businesses, integrating AI-powered camera control and embedded content workflows Edge AI Cameras Sep 2025 Seed $2M Europe Not specified in provided dataset UCL
Plumerai On-device Tiny AI for cameras, including people, package, animal, face and motion detection on power-constrained camera hardware Edge AI Cameras Sep 2025 Series A $8.7M Europe Not specified in provided dataset Plumerai
Energy Robotics AI software platform for autonomous inspection using robots and drones across energy, chemicals, industrial and security environments Industrial Edge AI Oct 2025 Series A $13.5M Europe Climate Investment Climate Investment
Dexory Autonomous warehouse robots and AI-powered warehouse intelligence platform for real-time inventory visibility and logistics operations Industrial Edge AI Oct 2025 Growth Equity $165M Europe Not specified in provided dataset Dexory
EdgeCortix Energy-efficient AI processors and software for generative AI and AI inference at the edge across robotics, telecom, aerospace, defense, smart infrastructure and industrial automation On Prem AI Nov 2025 Series B $110M Asia-Pacific Not specified in provided dataset Business Wire
Tutor Intelligence AI-powered warehouse robot workers and central robot intelligence platform for supply-chain automation Industrial Edge AI Dec 2025 Series A $34M North America Not specified in provided dataset Tutor Intelligence
BrainChip Neuromorphic edge AI hardware and software enabling on-device AI in industrial PCs, embedded devices, cybersecurity and mobile or embedded environments On Prem AI Dec 2025 Growth Equity $25M Asia-Pacific Not specified in provided dataset Business Wire
NeoSapien AI-native wearable ecosystem designed around device-level AI interaction On Prem AI Dec 2025 Seed $2M Asia-Pacific Merak Ventures Times of India
Quadric On-device AI inference IP and processor architecture for vision and LLM workloads across edge chips, automotive and enterprise devices On Prem AI Jan 2026 Series C $30M North America Not specified in provided dataset PR Newswire
Waabi AI-based autonomous driving platform for self-driving trucks and robotaxis, using a shared physical-AI driving system Vehicle Edge AI Jan 2026 Series C $750M North America Not specified in provided dataset Waabi
Bedrock Robotics Autonomous construction technology for heavy equipment and construction sites Industrial Edge AI Feb 2026 Series B $270M North America NVentures / NVIDIA; 8VC; Eclipse noted in dataset PR Newswire
Surveily Edge AI platform that transforms existing industrial CCTV systems into real-time workplace safety monitoring systems running on-premises Industrial Edge AI Mar 2026 Series A $2.7M Europe Momenta Momenta
Axelera AI Low-power edge AI inference chips and hardware for real-world AI deployment On Prem AI Mar 2026 Growth Equity $250M Europe Not specified in provided dataset Data Center Dynamics
Bubble Robotics Autonomous robotic systems for continuous offshore inspection, monitoring and maritime infrastructure operations Industrial Edge AI Apr 2026 Seed $5M Europe Not specified in provided dataset Bubble Robotics
Locai Off-cloud AI infrastructure that shifts inference from cloud servers onto users’ own devices for lower cost, privacy and data sovereignty On Prem AI Apr 2026 Seed $1.25M Europe Not specified in provided dataset UKTN
SkyfireAI AI-native autonomous multi-drone operations platform for coordinated drone missions in public safety and defense Vehicle Edge AI Apr 2026 Seed $11M North America Not specified in provided dataset Access Newswire
HrdWyr AI-native processors for appliances, EVs and industrial systems that process data close to where it is generated On Prem AI May 2026 Series A $13M Asia-Pacific Not specified in provided dataset Business Standard
Armada Edge computing and distributed AI stack infrastructure, including deployment of the U.S. AI stack for customer-site and edge environments On Prem AI May 2026 Series B $230M North America Overmatch; 8090 Industries noted in dataset PR Newswire
Table scoring and prioritizing the main pain points faced by companies in the edge AI market

In our edge AI market deck, we identify pain points entrepreneurs should prioritize

OUR METHODOLOGY TO BUILD THIS TRACKER

We built this edge AI funding tracker by reviewing every publicly disclosed equity round raised by pure-play edge AI companies between July 2025 and June 2026. A company counts as pure-play when more than 80% of its activity is dedicated to AI inference that runs on devices or compute nodes close to where data is generated.

We applied four filters to build the dataset. First, we only included equity rounds, so grants, debt, and revenue financing were excluded where separable. Second, we only counted rounds of $300K or more. Third, we only kept pure-play edge AI companies. And fourth, every entry had to be confirmed by a direct company announcement, a press release, or a tier-1 media report, with the source URL preserved for every row.

The scope includes AI running on end devices, sensors, cameras, robots, vehicles, phones, local gateways, industrial PCs, customer-site servers, and telecom or MEC edge nodes. It excludes model training infrastructure, AI workloads running only in hyperscale or central enterprise data centers, and cloud analytics that process edge data without executing AI models close to the data source.

The final dataset contains 26 disclosed deals across 24 unique companies, and every average, median, share, and concentration ratio is computed on that disclosed sample. Privately raised rounds that were never publicly announced are necessarily missing, which is a known limitation of any public-only edge AI funding tracker.

How active has fundraising been in the edge AI market?

As of June 2026, fundraising in the edge AI market has been active on both deal count and dollars. Over the past 12 months, companies raised 26 disclosed equity rounds and approximately $2.761B combined, which works out to 2.17 deals per month.

The edge AI market is not short of visible financing activity. The dataset includes 24 unique companies, which means the market is not simply one or two companies raising repeatedly.

Dollar flow is much less stable than deal flow. Average capital raised per month was approximately $230.0M, but that figure is heavily influenced by Waabi, FieldAI, Bedrock Robotics, Axelera AI and Armada.

The median month had 2.0 disclosed deals and roughly $215.6M raised. That suggests the market has a steady baseline, but the headline funding number is still shaped by a small number of large rounds.

If you’re interested in knowing more about the companies currently shaping this industry, check our market report covering edge AI.

How concentrated has fundraising been in the edge AI market?

As of June 2026, fundraising in the edge AI market is highly concentrated at the top. Over the past 12 months, the largest deal accounts for 27.2% of all capital raised, the top 3 deals reach 51.6%, and the top 5 reach 69.0%.

The Waabi Series C is the clearest outlier. At $750M, it alone is larger than the entire Industrial Edge AI category and almost as large as all On Prem AI funding combined.

The top 10 deals account for 90.1% of disclosed capital in the edge AI market. That means the market’s funding story is mostly a story about a handful of large autonomy, robotics, chip and infrastructure companies.

This concentration matters because total-market headlines can overstate the funding available to the median edge AI company. A useful reading rule is to separate platform-scale rounds from ordinary venture rounds before interpreting the market.

How much of the edge AI funding signal is driven by outliers?

As of June 2026, a large share of the edge AI funding signal is driven by outliers. Over the past 12 months, 10 deals were above $50M and 8 deals were above $100M.

The dataset contains 26 deals, so rounds above $50M represent 38.5% of deal count. But those large rounds account for most of the capital, which is why headline totals do not describe the typical company.

Excluding rounds above $50M reduces total disclosed capital from approximately $2.761B to only $272.6M. That is the clearest evidence that the long-tail edge AI market is much smaller than the headline market.

The average round size is $106.2M, while the median is $32.0M. That gap shows that the edge AI market contains two financing regimes: normal venture rounds for deployable products and mega-rounds for autonomy or infrastructure platforms.

Chart showing how Hailo is winning in the edge AI market

This chart, featured in our edge AI market deck, shows how Hailo is winning in edge AI

Is the edge AI market broad with many targets, or narrow with few fundable companies?

As of June 2026, the edge AI market is broader than a single-company market, but still narrow in terms of companies that attract large checks. Over the past 12 months, 24 unique companies produced 26 disclosed equity rounds.

Only two companies raised twice in the dataset: Bedrock Robotics and Armada. That means the market has a wider company base than humanoid-style repeat-fundraiser markets, but capital still concentrates around a few strategic platforms.

On Prem AI is the broadest category by deal count, with 10 deals and 38.5% of disclosed activity. Industrial Edge AI follows with 7 deals, or 26.9% of the total.

The market becomes much narrower when measured by dollars. Vehicle Edge AI had only 3 deals, but it captured $858.0M, or 31.1% of total capital. That shows investors are willing to concentrate capital where edge execution is unavoidable.

Is edge AI mostly an early-stage formation market or a late-stage scaling market?

As of June 2026, the edge AI market behaves more like a late-stage scaling market than a pure early-stage formation market. Over the past 12 months, late-stage rounds captured approximately $2.058B, or 74.6% of total disclosed capital.

Early-stage rounds are still visible. Seed and Series A produced 16 of 26 deals, which is 61.5% of disclosed activity, but they captured only 25.4% of capital.

This split says the edge AI market is still generating new company formation, but the serious dollars go to companies with deployment readiness. Investors appear to reward hardware maturity, field traction, and physical-world operating evidence.

Series B and Series C rounds are especially important. Together they account for $1.390B, or 50.4% of total capital, which suggests investors are selecting companies that could become infrastructure layers.

If you want to learn more about what investors are currently underwriting, check our report on the edge AI market.

Which categories attract the most investor attention in edge AI?

As of June 2026, On Prem AI and Industrial Edge AI attract the most investor attention by deal count in edge AI. Together they account for 17 of 26 disclosed deals over the past 12 months.

On Prem AI leads the edge AI market by deal count with 10 deals and $804.7M raised. This category includes edge inference chips, off-cloud AI infrastructure, neuromorphic hardware, on-device inference IP, and customer-site AI stack deployment.

Industrial Edge AI follows with 7 deals and $570.2M raised. The category covers construction autonomy, warehouse robots, industrial CCTV safety, offshore inspection, and autonomous inspection systems.

Vehicle Edge AI attracts fewer deals but more capital intensity. It produced only 3 deals, yet captured $858.0M, making it the largest category by capital.

Chart showing the projected CAGR of the edge AI market

This chart, featured in our edge AI market deck, illustrates yearly funding for edge AI startups

Which categories attract disproportionately large checks in the edge AI market?

As of June 2026, Vehicle Edge AI attracts the most disproportionately large checks in the edge AI market. Over the past 12 months, it captured 31.1% of capital from only 11.5% of deals, giving it a capital share to deal share ratio of 2.69.

The category is driven by Waabi, Nuro and SkyfireAI. Waabi’s $750M Series C alone shows how autonomous driving and physical AI platforms can absorb far larger checks than typical edge software companies.

Edge Vision Systems also punches above its deal share. It captured 17.3% of capital from 11.5% of deals, helped by FieldAI’s $405M round and RealSense’s $50M spinout financing.

Edge AI Cameras is the opposite pattern. The category had 11.5% of deals but only 1.8% of capital, which suggests camera-specific edge AI is commercially real but less capital-intensive than autonomy or infrastructure.

Which geographies matter most for fundraising in the edge AI market?

As of June 2026, North America is the geography that matters most for fundraising in the edge AI market. Over the past 12 months, it captured approximately $2.150B, or 77.9% of total disclosed capital, from 13 deals.

North America’s advantage is not just company count. It had 50.0% of deals but 77.9% of capital, which means the region controls the market’s large autonomy, robotics and distributed AI infrastructure rounds.

Europe is second by both deals and capital. It produced 8 deals and $448.2M, or 16.2% of total capital, but its median round size was only $6.9M.

Asia-Pacific produced 5 deals and $162.4M, or 5.9% of disclosed capital. That is notable because several Asia-Pacific companies are technically central to edge AI hardware, but they remain underrepresented in disclosed private funding.

If you want to identify the regions and categories currently attracting capital, explore our market pitch on edge AI.

Is the edge AI opportunity set broad or concentrated in one hub?

As of June 2026, the edge AI opportunity set is concentrated in North America, but not exclusively located there. Over the past 12 months, North America, Europe and Asia-Pacific all produced qualifying deals.

North America is the clear capital hub. It accounts for 13 of 26 deals and nearly four-fifths of disclosed capital, with a median deal size of $80.0M.

Europe has meaningful company activity but smaller check sizes. It produced 30.8% of deals but only 16.2% of capital, which implies a more product-led and application-led funding base.

Latin America, the Middle East and Africa had no qualifying pure-play disclosed equity deals in the dataset. That absence should not be read as no demand, but it does show where public venture formation is currently visible.

Chart comparing business model options for edge AI accelerator companies

This chart, featured in our edge AI market deck, compares the main business model options for edge AI accelerator companies

Is edge AI a market of small experiments or scaled financings?

As of June 2026, the edge AI market is a mix of small experiments and scaled financings, but the dollars are overwhelmingly in scaled rounds. Over the past 12 months, 11 of 26 deals were $50M or larger.

The size distribution shows both layers. Four deals were below $5M, 6 were between $5M and $20M, 5 were between $20M and $50M, and 11 were $50M or above.

The median round size was $32.0M, which suggests the typical disclosed edge AI round is meaningful but not enormous. The average round size was $106.2M, showing how strongly megarounds reshape the market picture.

Rounds above $100M represented 8 deals, or 30.8% of activity. That is high for a market with hardware, deployment and real-world reliability risk, and it points to strategic urgency around physical AI.

If you want to stay on top of the latest trends, risks, and opportunities in this market, check out our market report on edge AI, updated every quarter.

Who are the investors that appear the most in edge AI fundraising?

As of June 2026, repeat investors in the edge AI market cluster around physical AI, robotics, autonomy and edge infrastructure. The dataset highlights NVentures / NVIDIA, Intel Capital, Khosla Ventures, 8VC, Eclipse, and Armada’s existing investor group as recurring names.

NVentures / NVIDIA appears around FieldAI and Bedrock Robotics Series B, which fits the broader physical-AI and edge-autonomy funding pattern. Intel Capital appears in RealSense and FieldAI, connecting embedded vision and robotics autonomy.

8VC and Eclipse appear across Bedrock Robotics’ Series A and Series B funding path. That repeat participation shows strong conviction in autonomous construction as an edge AI deployment category.

Armada’s investor base also repeats across the period. Founders Fund, Lux Capital, Shield Capital, 8090 Industries, M12, Overmatch and others participated in the July 2025 round, while Overmatch and 8090 also appeared in the May 2026 Series B.

One important caveat: funding announcements rarely disclose how much each investor contributed. In the edge AI market, repeat participation is a useful signal of conviction, but it is not the same as a precise investor dollar ranking.

Chart showing revenue distribution by customer segment in the edge AI market

This chart, featured in our edge AI market deck, shows revenue distribution by customer segment in the edge AI market

INSIGHTS

The insights below come from reviewing every disclosed equity round in the edge AI market between July 2025 and June 2026. They are not row-by-row summaries. They are the reusable patterns that kept showing up across the 26-deal dataset, and they are meant to stay useful when reading any future edge AI funding announcement.

  • The edge AI market is not maturing as one horizontal category. It is fragmenting into autonomy, industrial operations, on-prem inference infrastructure, vision systems and camera intelligence. Each submarket has a different proof threshold and funding logic.
  • The market’s capital center of gravity is not edge cameras, even though cameras are the most intuitive edge AI use case. Edge AI Cameras produced 11.5% of deals but only 1.8% of capital. Investors appear to treat camera-specific AI as a narrower application layer.
  • Vehicle Edge AI is the opposite pattern. Only 3 deals produced 31.1% of total capital, which means investors underwrite autonomy platforms as potential infrastructure layers. They are not valued like ordinary device-AI products.
  • The edge AI market is unusually top-heavy. The top deal accounts for 27.2% of capital, and the top 5 account for 69.0%. Any market narrative based only on total dollars is mostly a narrative about Waabi, FieldAI, Bedrock, Axelera and Armada.
  • The median round is $32.0M, while the average is $106.2M. That spread shows two financing regimes: conventional venture rounds for deployable products and mega-rounds for autonomy or infrastructure platforms.
  • Seed activity is broad but financially small. Seed deals represent 23.1% of deal count but only 1.6% of capital. Investors are still experimenting, but most serious dollars go to companies with deployment evidence or strategic platform potential.
  • On Prem AI has the most deals but not the strongest capital intensity. The category’s capital share to deal share ratio is 0.76, which suggests investors are spreading checks across many approaches rather than concentrating behind one model.
  • Industrial Edge AI is the most balanced category. It produced 26.9% of deals and 20.7% of capital, which suggests commercial credibility without the speculative check sizes seen in vehicle autonomy.
  • North America’s advantage is a mega-round advantage. It has 50.0% of deals but 77.9% of capital, showing that the region can finance autonomy, robotics and distributed AI infrastructure at platform scale.
  • Europe looks more application-led than platform-led. It produced 30.8% of deals but only 16.2% of capital, with a median round of $6.9M. That suggests a deeper bench of product companies but fewer balance-sheet-scale bets.
  • Asia-Pacific is underrepresented in disclosed private funding relative to its hardware importance. Several semiconductor and device-level AI companies are based there, but the region captures only 5.9% of disclosed capital.
  • The absence of Telecom Edge AI deals is meaningful. Telecom edge remains more of a deployment architecture and operator strategy than an independent venture-backed pure-play company category.
  • The strongest validation pattern is physical deployment, not model novelty. Companies with robots, vehicles, cameras, chips or on-site infrastructure attracted larger rounds than companies selling software abstraction alone.
  • The market is converging around physical AI as the fundable framing. FieldAI, Waabi, Bedrock, Bubble Robotics, RealSense and SkyfireAI all connect inference to systems that sense and act in the physical world.
  • Industrial safety and inspection are recurring wedge markets because they combine clear ROI, labor scarcity and safety risk. In those settings, edge AI becomes operational substitution rather than a generic latency or privacy feature.
  • The most defensible edge AI companies control a closed loop of sensing, inference and action. That is why autonomy and robotics companies raise larger checks than analytics-only edge AI companies.
  • Semiconductor edge AI rounds are sizable but uneven. Axelera, EdgeCortix, Quadric, BrainChip, Netrasemi and HrdWyr show investor appetite for inference hardware, but round sizes vary sharply by ambition and market position.
  • Privacy alone does not appear to fund large edge AI rounds. Locai and Plumerai mention privacy or off-cloud benefits, but the largest checks attach to productivity, autonomy, logistics, construction, vehicles and compute deployment.
  • A useful diligence rule is to ask whether the edge constraint is unavoidable. Vehicles, robots, drones and construction equipment cannot wait on cloud inference. Many enterprise on-prem use cases are still deployment preferences rather than operational necessities.
  • Follow-on rounds dominate the dataset, which means investors prefer evidence of prior progress. First financings exist, but they are mostly small unless the company has an unusual spinout or stealth profile.
  • Retrofit models are a credible adoption shortcut. Lumana upgrades cameras, Surveily upgrades CCTV, Bedrock upgrades heavy equipment, and Armada brings compute to existing customer sites. These models reduce customer capex friction.
  • The real bottleneck is not simply running a model at the edge. The harder problem is operating reliably in messy physical environments. The largest rounds are bets on robustness, repeatability and real-world data loops.

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