What are the most valued startups in the edge AI market?
Download our beautiful pitch about the edge AI market

In our edge AI market deck, you will find everything you need to understand the market
The edge AI market combines artificial intelligence with devices that process data close to where it is generated.
Our ranking covers edge AI chips, autonomous vehicles, defense systems, robotics, drones, physical security, industrial automation and other real-world applications.
We update this list every month to reflect new funding rounds, public-market movements, acquisitions and revised valuation estimates.
And if you want to better understand this new industry, you can download our pitch covering the edge AI market.
A quick summary table
| Metric | Value |
|---|---|
| Most valuable edge AI startup | Anduril, $61.0B |
| Second most valuable edge AI startup | Figure, $39.0B |
| Median edge AI startup valuation | Approximately $465M |
| Edge AI valuation captured by the top 10 | Approximately 67% |
| Top edge AI valuation vs. median | Approximately 131 times |
| Median valuation-to-capital-raised ratio | Approximately 3.2 times |
| Edge AI startups valued at $1B+ | 35 startups |

This market map, featured in our edge AI market deck, highlights top companies and startups in the edge AI market
Top startups in the edge AI market ranked by valuation
Here is an updated table that ranks the top startups in the edge AI market based on their latest reported or estimated valuations.
If you want more detaild about their fundraising activity, you can check our list of the startups who have raised the most funding in the edge AI market.
| # | Startup Name | What They Do | Current Valuation ($) | Valuation Confidence Level | Valuation Type | Evidence Status | Total Funding ($) | Funding Confidence Level |
|---|---|---|---|---|---|---|---|---|
| 1 | Anduril | Autonomous defense systems and software | $61.0B | Full Confidence | Announced Private Round Valuation | Observed | $11.3B | Strong Confidence |
| 2 | Figure | General-purpose humanoid robots | $39.0B | Full Confidence | Announced Private Round Valuation | Observed | $1.8B | Strong Confidence |
| 3 | Helsing | AI defense software and drones | $16.0B–$18.0B | Strong Confidence | Active Raise Valuation | Estimated | $1.5B | Strong Confidence |
| 4 | Applied Intuition | Vehicle intelligence and simulation software | $15.0B–$18.0B | Strong Confidence | Announced Private Round Valuation | Estimated | $1.2B | Partial Confidence |
| 5 | Shield AI | Autonomous pilots for military aircraft | $12.0B–$12.7B | Strong Confidence | Active Raise Valuation | Implied | $2.4B | Partial Confidence |
| 6 | Aurora | Autonomous trucking and ridehail platform | $12.0B | Full Confidence | Public Market Cap | Observed | $4.1B | Partial Confidence |
| 7 | Saronic | Autonomous naval surface vessels | $9.3B | Full Confidence | Announced Private Round Valuation | Observed | $2.6B | Strong Confidence |
| 8 | Wayve | Embodied autonomy driving AI | $8.6B | Full Confidence | Announced Private Round Valuation | Observed | $2.5B | Strong Confidence |
| 9 | Flock Safety | Public-safety cameras and sensor network | $8.4B | Strong Confidence | Announced Private Round Valuation | Observed | $658M | Strong Confidence |
| 10 | Quantum-Systems | AI-powered defense drone systems | $8.0B | Full Confidence | Announced Private Round Valuation | Observed | $1.7B | Partial Confidence |
| 11 | Zipline | Autonomous drone delivery logistics | $7.3B–$7.8B | Strong Confidence | Announced Private Round Valuation | Implied | $2.0B | Partial Confidence |
| 12 | 1X | Humanoid robots for homes | $5.0B–$10.0B | Partial Confidence | Active Raise Valuation | Estimated | $126M | Strong Confidence |
| 13 | Waabi | AI autonomous trucking | $5.0B–$8.5B | Strong Confidence | Implied Valuation from Raise | Implied | $1.0B | Strong Confidence |
| 14 | Nuro | Autonomous delivery and robotaxi stack | $6.0B | Strong Confidence | Announced Private Round Valuation | Observed | $2.3B | Strong Confidence |
| 15 | Verkada | Cloud-managed physical security systems | $5.8B | Strong Confidence | Announced Private Round Valuation | Observed | $744M | Strong Confidence |
| 16 | Stack AV | Autonomous trucking technology | $4.0B–$7.0B | Partial Confidence | Implied Valuation from Raise | Implied | $1.0B | Full Confidence |
| 17 | Apptronik | Humanoid robots for industrial work | $5.3B | Strong Confidence | Announced Private Round Valuation | Observed | $935M | Partial Confidence |
| 18 | Skydio | Autonomous enterprise and defense drones | $4.4B | Full Confidence | Announced Private Round Valuation | Observed | $825M | Strong Confidence |
| 19 | Pony.ai | Robotaxis and autonomous trucks | $2.9B | Full Confidence | Public Market Cap | Observed | $1.5B | Partial Confidence |
| 20 | Agility Robotics | Warehouse bipedal humanoid robots | $2.5B | Strong Confidence | IPO or Listing Range Valuation | Observed | $578M | Partial Confidence |
| 21 | Axelera AI | Edge AI inference chips | $1.7B–$2.5B | Partial Confidence | Implied Valuation from Raise | Implied | $250M | Strong Confidence |
| 22 | Exotec | Warehouse robotics automation | $1.8B–$2.2B | Strong Confidence | Comparables-Based Estimate | Estimated | $447M | Full Confidence |
| 23 | Mach Industries | Unmanned defense systems | $1.8B | Full Confidence | Announced Private Round Valuation | Observed | $485M | Full Confidence |
| 24 | WeRide | Robotaxis and autonomous buses | $1.8B | Full Confidence | Public Market Cap | Observed | $1.5B | Partial Confidence |
| 25 | Locus Robotics | Warehouse autonomous mobile robots | $1.4B–$1.8B | Partial Confidence | Comparables-Based Estimate | Estimated | $438M | Strong Confidence |
| 26 | Gatik | Autonomous middle-mile trucks | $1.2B–$1.8B | Partial Confidence | Revenue or ARR Multiple Estimate | Estimated | $115M | Full Confidence |
| 27 | Netradyne | AI fleet safety cameras | $1.3B–$1.7B | Strong Confidence | Revenue or ARR Multiple Estimate | Estimated | $277M | Full Confidence |
| 28 | Plus | Autonomous trucking systems | $1.3B–$1.7B | Partial Confidence | IPO or Listing Range Valuation | Estimated | $420M | Partial Confidence |
| 29 | Gecko Robotics | Infrastructure inspection robots and AI | $1.1B–$1.4B | Strong Confidence | Announced Private Round Valuation | Observed | $347M | Strong Confidence |
| 30 | Forterra | Autonomous defense ground systems | $1.0B–$1.3B | Strong Confidence | Announced Private Round Valuation | Implied | $303M | Partial Confidence |
| 31 | Kodiak Robotics | Autonomous trucking software | $1.1B | Full Confidence | Public Market Cap | Observed | $440M | Strong Confidence |
| 32 | Nimble Robotics | Automated ecommerce fulfillment robots | $900M–$1.2B | Partial Confidence | Announced Private Round Valuation | Estimated | $221M | Full Confidence |
| 33 | Syntiant | Ultra-low-power AI chips | $800M–$1.3B | Partial Confidence | IPO or Listing Range Valuation | Estimated | $118M | Strong Confidence |
| 34 | Oxbotica / Oxa | Industrial autonomy software | $700M–$1.3B | Partial Confidence | Implied Valuation from Raise | Implied | $308M | Partial Confidence |
| 35 | Mythic | Analog AI inference chips | $850M–$1.4B | Partial Confidence | Implied Valuation from Raise | Implied | $165M | Strong Confidence |
| 36 | SiMa.ai | Edge AI ML accelerators | $850M–$1.1B | Partial Confidence | Comparables-Based Estimate | Estimated | $363M | Strong Confidence |
| 37 | EnCharge AI | Analog AI accelerators | $700M–$1.1B | Partial Confidence | Implied Valuation from Raise | Implied | $144M | Strong Confidence |
| 38 | Standard AI | AI-powered retail operations software | $600M–$1.0B | Low Confidence | Comparables-Based Estimate | Estimated | $236M | Strong Confidence |
| 39 | Recogni | AI inference chips | $550M–$900M | Partial Confidence | Revenue or ARR Multiple Estimate | Estimated | $176M | Strong Confidence |
| 40 | EdgeCortix | Edge AI processors | $500M–$900M | Partial Confidence | Implied Valuation from Raise | Implied | $138M | Partial Confidence |
| 41 | Outrider | Autonomous logistics-yard trucks | $450M–$700M | Partial Confidence | Implied Valuation from Raise | Implied | $253M | Strong Confidence |
| 42 | Saildrone | Autonomous maritime intelligence drones | $450M–$700M | Partial Confidence | Revenue or ARR Multiple Estimate | Estimated | $325M | Strong Confidence |
| 43 | Auterion | Drone autonomy operating software | $550M–$700M | Strong Confidence | Announced Private Round Valuation | Observed | $115M | Strong Confidence |
| 44 | Bear Robotics | Autonomous service delivery robots | $600M | Strong Confidence | Acquisition Value | Observed | $173M | Strong Confidence |
| 45 | Ambient.ai | AI physical-security monitoring platform | $420M–$620M | Partial Confidence | Implied Valuation from Raise | Implied | $146M | Partial Confidence |
| 46 | ANYbotics | Quadruped industrial inspection robots | $450M–$600M | Partial Confidence | Revenue or ARR Multiple Estimate | Estimated | $152M | Strong Confidence |
| 47 | Hailo | Edge AI chip accelerators | $450M–$500M | Partial Confidence | Active Raise Valuation | Estimated | $394M | Strong Confidence |
| 48 | Serve Robotics | Autonomous sidewalk delivery robots | $455M | Full Confidence | Public Market Cap | Observed | $224M | Partial Confidence |
| 49 | GreyOrange | AI warehouse fulfillment robots | $400M–$550M | Partial Confidence | Comparables-Based Estimate | Estimated | $424M | Partial Confidence |
| 50 | Helm.ai | Autonomous-driving AI software | $400M–$650M | Partial Confidence | Comparables-Based Estimate | Estimated | $125M | Partial Confidence |
| 51 | Carbon Robotics | AI laser weeding robots | $340M–$420M | Partial Confidence | Comparables-Based Estimate | Estimated | $178M | Partial Confidence |
| 52 | Starship Technologies | Autonomous last-mile delivery robots | $330M–$550M | Partial Confidence | Implied Valuation from Raise | Implied | $247M | Strong Confidence |
| 53 | MemryX | Edge AI accelerator chips | $300M–$500M | Partial Confidence | Implied Valuation from Raise | Implied | $30M | Low Confidence |
| 54 | Pronto.ai | Autonomous mining haulage systems | $300M–$500M | Low Confidence | Acquisition Value | Estimated | Not provided | Low Confidence |
| 55 | Path Robotics | Autonomous robotic welding systems | $300M–$400M | Partial Confidence | Comparables-Based Estimate | Estimated | $271M | Full Confidence |
| 56 | Kneron | Edge neural processors | $250M–$450M | Low Confidence | Comparables-Based Estimate | Estimated | $174M | Strong Confidence |
| 57 | Trigo | Computer-vision grocery store platform | $280M–$420M | Partial Confidence | Comparables-Based Estimate | Estimated | $189M | Strong Confidence |
| 58 | Simbe | Retail shelf-scanning robots | $280M–$380M | Partial Confidence | Implied Valuation from Raise | Implied | $104M | Partial Confidence |
| 59 | Apex.AI | Safety-certified vehicle software | $250M–$400M | Partial Confidence | Implied Valuation from Raise | Implied | $88M | Partial Confidence |
| 60 | Brain Corp | Autonomy software for robots | $250M–$400M | Low Confidence | Revenue or ARR Multiple Estimate | Estimated | $193M | Strong Confidence |
| 61 | Bright Machines | Software-defined manufacturing automation | $260M–$320M | Strong Confidence | Announced Private Round Valuation | Implied | $385M | Full Confidence |
| 62 | Quadric | General-purpose AI processors | $180M–$300M | Partial Confidence | Revenue or ARR Multiple Estimate | Estimated | $90M | Partial Confidence |
| 63 | Miso Robotics | Robotic kitchen automation | $240M–$300M | Strong Confidence | Active Raise Valuation | Observed | $65M | Partial Confidence |
| 64 | Spot AI | AI-powered video intelligence | $230M–$330M | Partial Confidence | Implied Valuation from Raise | Implied | $93M | Strong Confidence |
| 65 | Sanctuary AI | General-purpose humanoid robots | $220M–$300M | Partial Confidence | Comparables-Based Estimate | Estimated | $100M | Partial Confidence |
| 66 | Vecna Robotics | Autonomous material handling robots | $200M–$300M | Partial Confidence | Implied Valuation from Raise | Implied | $183M | Partial Confidence |
| 67 | Coram AI | AI-native physical security platform | $210M–$290M | Strong Confidence | Implied Valuation from Raise | Implied | $64M | Strong Confidence |
| 68 | RightHand Robotics | Robotic warehouse piece picking | $220M–$280M | Partial Confidence | Comparables-Based Estimate | Estimated | $100M | Strong Confidence |
| 69 | Percepto | Autonomous industrial drone inspections | $180M–$280M | Partial Confidence | Revenue or ARR Multiple Estimate | Estimated | $123M | Partial Confidence |
| 70 | Veesion | AI retail theft detection | $180M–$260M | Partial Confidence | Revenue or ARR Multiple Estimate | Estimated | $54M | Strong Confidence |
| 71 | Flytrex | Drone delivery for suburbs | $200M–$350M | Partial Confidence | Comparables-Based Estimate | Estimated | $60M | Partial Confidence |
| 72 | Covariant | AI robotic picking software | $150M–$300M | Low Confidence | Proxy-Based Estimate | Estimated | $222M | Full Confidence |
| 73 | Landing AI | Visual AI development platform | $140M–$210M | Partial Confidence | Revenue or ARR Multiple Estimate | Estimated | $57M | Partial Confidence |
| 74 | Wingtra | Surveying VTOL drones | $130M–$200M | Partial Confidence | Implied Valuation from Raise | Implied | $66M | Partial Confidence |
| 75 | Scythe Robotics | Autonomous commercial mowing robots | $130M–$220M | Low Confidence | Acquisition Value | Estimated | $95M | Partial Confidence |
| 76 | Blaize | AI edge computing chips | $151M | Full Confidence | Public Market Cap | Observed | $222M | Strong Confidence |
| 77 | Edge Impulse | Edge ML platform | $100M–$200M | Low Confidence | Acquisition Value | Estimated | $54M | Full Confidence |
| 78 | Focal Systems | AI retail shelf automation | $110M–$160M | Partial Confidence | Revenue or ARR Multiple Estimate | Estimated | $37M | Partial Confidence |
| 79 | Flex Logix | Reconfigurable AI chip IP | $90M–$180M | Low Confidence | Acquisition Value | Estimated | $82M | Strong Confidence |
| 80 | AiFi | Autonomous retail spatial intelligence | $90M–$140M | Partial Confidence | Comparables-Based Estimate | Estimated | $91M | Partial Confidence |
| 81 | GreenWaves Technologies | Ultra-low-power AI processors | $80M–$150M | Low Confidence | Comparables-Based Estimate | Estimated | $30M | Partial Confidence |
| 82 | Oosto | Facial recognition security analytics | $125M | Full Confidence | Acquisition Value | Observed | $352M | Strong Confidence |
| 83 | inVia Robotics | Warehouse robotics subscription platform | $100M–$170M | Low Confidence | Revenue or ARR Multiple Estimate | Estimated | $56M | Strong Confidence |
| 84 | Monarch Tractor | Autonomous electric agricultural tractors | $80M–$150M | Low Confidence | Acquisition Value | Estimated | $220M | Strong Confidence |
| 85 | FogHorn | Industrial edge analytics software | $80M–$130M | Low Confidence | Acquisition Value | Estimated | $70M | Strong Confidence |
| 86 | Delair | Professional industrial drone solutions | $60M–$110M | Low Confidence | Comparables-Based Estimate | Estimated | $17M | Low Confidence |
| 87 | Burro | Autonomous outdoor work robots | $60M–$100M | Partial Confidence | Comparables-Based Estimate | Estimated | $45M | Partial Confidence |
| 88 | Exyn Technologies | GPS-denied robotic autonomy | $50M–$90M | Low Confidence | Implied Valuation from Raise | Estimated | $57M | Partial Confidence |
| 89 | Relay Robotics | Indoor delivery service robots | $45M–$80M | Low Confidence | Proxy-Based Estimate | Estimated | $40M | Partial Confidence |
| 90 | GrAI Matter Labs | Neuromorphic edge processors | $35M–$80M | Low Confidence | Acquisition Value | Estimated | $29M | Full Confidence |
| 91 | Actuate | AI camera threat detection | $35M–$60M | Low Confidence | Revenue or ARR Multiple Estimate | Estimated | $24M | Strong Confidence |
| 92 | DeGirum | Edge AI acceleration platform | $25M–$60M | Low Confidence | Proxy-Based Estimate | Estimated | $6M | Low Confidence |
| 93 | Aspinity | Analog edge AI chips | $25M–$45M | Partial Confidence | Implied Valuation from Raise | Implied | $14M | Partial Confidence |
| 94 | Diligent Robotics | Hospital service delivery robots | $29M–$34M | Strong Confidence | Acquisition Value | Observed | $100M | Partial Confidence |
| 95 | FarmWise | AI robotic farm weeding | $25M–$40M | Low Confidence | Proxy-Based Estimate | Estimated | $79M | Partial Confidence |
| 96 | AIZIP | TinyML edge models | $8M–$15M | Low Confidence | Implied Valuation from Raise | Implied | $2M | Low Confidence |
| 97 | Untether AI | Memory-based AI chips | $0M–$20M | Low Confidence | Proxy-Based Estimate | Estimated | $125M | Partial Confidence |
| 98 | SafeAI | Autonomous heavy-equipment technology | $3M–$9M | Low Confidence | Acquisition Value | Estimated | $64M | Full Confidence |

This chart, featured in our edge AI market deck, compares the 2026 size of the edge AI market with other markets of similar size
Key valuation trends in the edge AI market
Insights
- Anduril and Figure are worth a combined $100 billion, which shows how much edge AI market value has concentrated around defense autonomy and humanoid robotics.
- The ten largest edge AI startups represent approximately 67% of the total valuation in this ranking, making the market highly concentrated despite its broad range of applications.
- Figure’s $39 billion valuation is almost 22 times its reported funding, one of the strongest capital-to-valuation outcomes among large physical AI and robotics companies.
- Flock Safety and Verkada have a combined valuation of $14.2 billion after raising about $1.4 billion, highlighting the capital efficiency of recurring physical-security software and sensor networks.
- Wayve and Nuro are valued at about $14.6 billion combined after raising $4.8 billion, which is materially less efficient than leading defense, security and humanoid robotics companies.
- Netradyne’s estimated $1.5 billion midpoint is more than five times its funding, suggesting that fleet-safety software can generate stronger valuation efficiency than capital-intensive autonomous vehicle platforms.
- Bright Machines has raised more capital than its estimated current valuation, showing that software-defined manufacturing has not maintained the valuation premiums awarded to defense and security platforms.
- Oosto’s $125 million acquisition value equals only about 36% of its disclosed funding, illustrating the downside risk faced by heavily financed computer-vision companies during strategic exits.
- Blaize’s $151 million public-market capitalization is below its $222 million funding total, showing how listed markets can sharply reset capital-intensive edge AI semiconductor valuations.
- Recurring software and sensor-network businesses generally achieve the strongest valuation efficiency, while semiconductor companies and robotics manufacturers need more capital for each dollar of valuation.

This chart, featured in our edge AI market deck, shows how Hailo is winning in edge AI
A few word about our methodology
As you can see, we built a database that ranks startups in the edge AI market based on their current valuation.
Estimating edge AI startup valuations is not always straightforward. Many companies do not publicly disclose their valuation, and the available information can vary widely depending on the company and its stage.
The edge AI market also covers several distinct business models. These include semiconductor companies, autonomous vehicle developers, defense platforms, robotics manufacturers, drone companies, physical-security systems and industrial software businesses.
To build this ranking, we applied a structured valuation methodology and cross-checked information across multiple reliable sources.
Whenever possible, we relied on direct disclosures. These include announced valuations from completed funding rounds, public filings for listed companies, or official acquisition prices.
When an edge AI company is publicly listed, we use its current market capitalization as the reference valuation.
If a company was acquired and no independent valuation can reasonably be estimated today, we use the acquisition price as the main reference point.
When an edge AI startup recently raised capital but the valuation was not disclosed, we estimate the implied valuation using typical dilution levels for that stage of fundraising.
In some cases, we also estimate valuations using operating metrics such as revenue, ARR, customer traction, commercial deployments or signed contracts. We combine these indicators with valuation multiples from comparable companies in the same edge AI segment.
Hardware-heavy edge AI companies often require more capital than software businesses. We account for this difference when comparing chip developers, autonomous systems, robotics companies and recurring software platforms.
When direct financial data is not available, we may rely on carefully selected comparable startups and other signals such as hiring growth, investor quality, product traction, commercial partnerships or deployment activity.
All estimates follow a strict evidence hierarchy. Recent funding rounds with announced valuations carry the most weight, followed by strong operating metrics and comparable company analysis.
We also carefully evaluate the age of every data point. Recent information carries more weight, while older data is treated cautiously and adjusted conservatively when necessary.
Whenever information is uncertain or incomplete, we clearly distinguish between confirmed facts and reasonable inferences.
Because edge AI valuation data is not always fully public, each startup in the ranking is assigned a confidence level based on the reliability, recency, and consistency of the available evidence.
Full confidence means the valuation is supported by strong and recent evidence. Strong confidence means the estimate is well supported but includes minor inference. Partial confidence means the estimate relies more heavily on indirect signals. Low confidence means available information is limited or inconsistent.
When confidence is lower, we take a more conservative approach by widening the valuation range. This helps reflect the uncertainty and increases the probability that the true valuation falls within the estimated range.
This reflects how we conduct all our research, including the work behind our report covering the edge AI market.
In a world where LLMs hallucinate and unreliable information is everywhere, our goal is simple: provide data you can trust.
If you want the full detail on a specific valuation estimate, feel free to contact us and we will gladly explain.
Finally, know that we update the dataset once per month, so come back here if you need fresh information.

This chart, featured in our edge AI market deck, illustrates yearly funding for edge AI startups
Related blog posts
- The latest news from the Edge AI market
- The most recent funding news in the Edge AI market
- What is the latest update in the Edge AI market?
- The evolution of funding activity in the Edge AI market
- The main fundraising trends in the Edge AI market
Who is the author of this content?
NEW MARKET PITCH TEAM
We track new markets so founders and investors can move fasterWe build living “market pitch” documents for emerging markets: from AI to synthetic biology and new proteins. Instead of digging through outdated PDFs, random blog posts, and hallucinated LLM answers, our clients get a clean, visual, always-updated view of what’s really happening. We map the key players, deals, regulations, metrics and signals that matter so you can decide faster whether a market is worth your time. Want to know more? Check out our about page. You can also follow us on Instagram or on Facebook.
How we created this content 🔎📝
At New Market Pitch, we kept seeing the same problem: when you look at a new market, the data is either missing, paywalled, or buried in 300-page reports that feel like they were written in the 80s. On the other side, LLMs and random blog posts give you confident answers with no sources, and sometimes they just make things up. That’s not good enough when you’re about to invest real money or launch a company.
So we decided to fix the experience. For each market we cover, we build a structured database and update it on a regular basis. We track funding rounds, fund memos, M&A moves, partnerships, new products, policy changes, and the real activity of startups and incumbents. Then we turn all of that into a clear “market pitch” that shows where the opportunities are and how people actually win in that space.
Every key data point is checked, sourced, and put back into context by our team. That’s how we can give you both speed and reliability: fast coverage of new markets, without the usual guesswork.