Robotics Software Startup Funding
In our updated market reports, you will find everything you need
SUMMARY
This report analyzes publicly disclosed equity rounds raised by pure-play robotics software companies between August 2024 and July 2026, a 24-month window covering every geography. We only kept disclosed equity rounds of $300K or more, and excluded robot hardware companies, robotic-service operators, autonomous-vehicle companies not clearly software-first, grants, contracts, acquisitions, undisclosed rounds, and NewMarketPitch.
Over this period, fundraising in the robotics software market was small by deal count but huge by capital. The dataset includes 14 disclosed deals, 13 unique companies, and $2.86B raised.
The robotics software market is heavily concentrated. The top deal alone represents 48.92% of total capital raised, the top 3 deals reach 78.79%, and the top 5 deals reach 94.52%.
Megarounds define the market. Rounds above $50M account for only 4 deals, but removing them reduces total capital from $2.86B to just $206.95M.
The average round size is $204.43M, but this number is not typical. The median round size is $32M, which better reflects the middle of the disclosed market.
Deal flow is still irregular. The robotics software market averaged 0.58 disclosed deals per month, while the median month had zero deals and zero disclosed capital.
Robot Perception Software dominates by dollars. It captures $2.71B, or 94.68% of total capital, from 6 deals, showing that funding is mostly flowing into robot foundation-model and physical-AI companies.
Developer Tools are more active than their capital share suggests. The category has 3 deals, or 21.43% of activity, but only 1.48% of disclosed dollars.
North America dominates the robotics software market. It captures 10 of 14 deals and 97.44% of disclosed capital, while Europe contributes 4 deals but only 2.56% of capital.
The market is split between frontier physical-AI platforms and practical operating tools. Foundation-model companies raise hundreds of millions, while fleet, developer, data, OS, and simulation companies mostly raise smaller rounds.
What are all the funding deals in the robotics software market from August 2024 to July 2026?
The table below lists every disclosed equity round raised by pure-play robotics software companies between August 2024 and July 2026. We define the robotics software market as software layers that help robots perceive, plan, navigate, simulate, coordinate, and operate safely.
Each row shows the company, what it does, its category, the deal date, the funding stage, the round size, the region, the main investors when available in the dataset, and the announcement source.
| Company | What they do | Category | Date | Stage | Deal size | Region | Main investors | Source |
|---|---|---|---|---|---|---|---|---|
| Physical Intelligence | General-purpose AI software and foundation models intended to run across many robot embodiments | Robot Perception Software | Nov 2024 | Series A | $400M | North America | Bezos-linked capital; other investors not specified in dataset | PitchBook |
| Trener Robotics | Robot-agnostic AI software that lets industrial robots learn skills and be programmed with natural language | Developer Tools | Dec 2024 | Seed | $5.4M | North America | Engine Ventures; Emergent Ventures; Raisewell Ventures | Business Wire |
| Overland AI | Autonomy and fleet-coordination software for uncrewed ground vehicles and supervised fleets of smart machines | Fleet Management Software | Jan 2025 | Series A | $32M | North America | Not specified in dataset | Overland AI |
| BOW | Universal robotics software platform and SDK to reduce the complexity of programming robots across hardware types | Developer Tools | Jan 2025 | Seed | $5M | Europe | Not specified in dataset | Business Wire |
| OpenMind | Hardware-agnostic robot operating system and coordination protocol for intelligent machines | Robot Operating Systems | Aug 2025 | Seed | $20M | North America | Lightspeed-linked capital | Robotics and Automation News |
| FieldAI | Embodiment-agnostic foundation models for robot autonomy in dynamic environments without fixed maps or predefined trajectories | Robot Perception Software | Aug 2025 | Unknown | $405M | North America | NVentures; Bezos-linked capital | FieldAI |
| Energy Robotics | AI-powered fleet orchestration software for autonomous inspection robots and drones in industrial infrastructure | Fleet Management Software | Oct 2025 | Series A | $13.5M | Europe | Not specified in dataset | PR Newswire |
| Foxglove | Robotics data and observability platform used to collect, analyze, debug, and learn from physical-AI data | Robot Data Platforms | Nov 2025 | Series B | $40M | North America | Not specified in dataset | Business Wire |
| Flexion Robotics | Autonomy stack and intelligence layer for humanoid and human-capable robots | Robot Perception Software | Nov 2025 | Series A | $50M | Europe | NVentures; Redalpine; Moonfire | Flexion |
| Antioch | Cloud simulation and digital-twin infrastructure for testing autonomous robots before deployment | Simulation Software | Dec 2025 | Seed | $4.25M | North America | Not specified in dataset | SiliconANGLE |
| Skild AI | Scalable foundation model for robotics intended to provide omni-bodied intelligence across robot types | Robot Perception Software | Jan 2026 | Series C | $1,400M | North America | NVentures; Bezos Expeditions; Lightspeed-linked capital | Business Wire |
| Trener Robotics | Robot-agnostic AI skills platform for industrial robot control, programming, vision, motion, and safety | Developer Tools | Feb 2026 | Series A | $32M | North America | Engine Ventures; Emergent Ventures; Raisewell Ventures | Trener Robotics |
| Rhoda AI | Robot foundation models using video-predictive control to help robots generalize beyond lab demonstrations | Robot Perception Software | Mar 2026 | Series A | $450M | North America | Not specified in dataset | Business Wire |
| Stateful Robotics | Long-horizon embodied-AI intelligence layer for real-world robotics | Robot Perception Software | Mar 2026 | Seed | $4.8M | Europe | Not specified in dataset | Oxford Science Enterprises |
OUR METHODOLOGY TO BUILD THIS TRACKER
We built this robotics software funding tracker by reviewing every publicly disclosed equity round raised by pure-play robotics software companies between August 2024 and July 2026. A company counts as pure-play when more than 80% of its activity is dedicated to robot software layers for perception, planning, navigation, simulation, fleet coordination, robot operating systems, robot data, motion planning, safety, or developer tools.
We applied four filters to build the dataset. First, we only included equity rounds, so grants, government contracts, debt, acquisitions, and revenue financing are excluded. Second, we only counted rounds of $300K or more. Third, we only kept pure-play robotics software 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.
We also excluded robot hardware companies, robotic-service operators, autonomous-vehicle companies not clearly robot-software-first, broad AI infrastructure companies, and broader robotics companies where software was not the funded company’s core product. The final dataset contains 14 disclosed deals across 13 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 robotics software funding tracker.
How active has fundraising been in the robotics software market?
As of July 2026, fundraising in the robotics software market has been active in dollars but sparse in deal count. Over the past 24 months, companies raised 14 disclosed equity rounds and $2.86B combined, or about 0.58 deals per month.
The average capital raised per month was $119.25M, but that number hides long quiet stretches. The median month had zero disclosed deals and zero disclosed capital, which means the robotics software market is not yet producing a continuous financing cadence.
The 14 deals came from 13 unique companies, so repeat fundraising was limited. Trener Robotics was the only company with two separate disclosed rounds in the dataset.
Activity also clustered around specific physical-AI announcements. The robotics software market is therefore better read as event-driven rather than pipeline-driven.
How concentrated has fundraising been in the robotics software market?
As of July 2026, fundraising in the robotics software market has been extremely concentrated. Over the past 24 months, the largest round alone represented 48.92% of all disclosed capital, while the top 3 deals represented 78.79%.
The top 5 deals represented 94.52% of all disclosed capital. That means the total-market number is mostly a story about a few very large foundation-model and physical-AI companies.
The concentration is even clearer when comparing average and median deal size. The average round was $204.43M, but the median was only $32M, showing how much the average is pulled upward by outliers.
This means headline funding for the robotics software market should not be read as broad liquidity. It is mostly concentrated conviction in a small set of perceived platform companies.
How much of the robotics software funding signal is driven by outliers?
As of July 2026, most of the robotics software funding signal is driven by outliers. Over the past 24 months, removing rounds above $50M reduces disclosed capital from $2.86B to $206.95M.
Only 4 deals were above $50M, but those rounds controlled the market’s dollar story. Skild AI, Rhoda AI, FieldAI, and Physical Intelligence together made robotics software look far larger than the normal venture layer suggests.
There were 5 disclosed rounds of $50M or more if Flexion’s exact $50M Series A is included. But the true mega-round layer begins above $100M, where 4 deals account for the overwhelming majority of capital.
The practical reading is simple. The robotics software market is not evenly funded; it is dominated by a handful of frontier physical-AI rounds.
Is the robotics software market broad with many targets, or narrow with few fundable companies?
As of July 2026, the robotics software market is narrow rather than broad. Over the past 24 months, only 13 unique companies produced disclosed qualifying equity rounds.
Deal flow also shows limited breadth. The dataset includes 14 deals, and just one company, Trener Robotics, raised twice during the period.
The category spread looks broader than the capital spread. Six categories produced at least one deal, but Robot Perception Software alone captured 94.68% of all dollars.
This suggests two markets inside one label. There is a small group of frontier robot-intelligence companies, and a thinner layer of practical tooling companies raising much smaller rounds.
Is robotics software mostly an early-stage formation market or a late-stage scaling market?
As of July 2026, the robotics software market looks early by deal count but scale-stage by capital. Over the past 24 months, Seed plus Series A represented 11 of 14 deals, but only 35.53% of disclosed capital.
Late-stage or scale-stage rounds represented 64.47% of capital. This includes Series B, Series C, and the large unknown-stage FieldAI round.
Series A is the center of gravity by deal count, with 6 deals and 42.86% of all disclosed rounds. But the Series A label covers very different realities, from Trener Robotics at $32M to Rhoda AI at $450M.
Seed rounds are common but economically marginal. They represent 5 deals and 35.71% of activity, but only $39.45M, or 1.38% of disclosed capital.
Which categories attract the most investor attention in robotics software?
As of July 2026, Robot Perception Software attracts the most investor attention in the robotics software market. Over the past 24 months, it captured 6 of 14 deals and $2.71B of disclosed capital.
Robot Perception Software represents 42.86% of deals but 94.68% of dollars. That gap shows investors are mostly funding generalizable robot intelligence, not traditional robotics middleware.
Developer Tools ranked second by deal count, with 3 deals and 21.43% of activity. But the category raised only $42.4M, or 1.48% of capital, which makes it active but capital-light.
Fleet Management Software produced 2 deals and $45.5M. It has clearer operational use cases, but its 1.59% capital share shows it is not where the largest checks went.
Which categories attract disproportionately large checks in the robotics software market?
As of July 2026, Robot Perception Software attracts disproportionately large checks in the robotics software market. Over the past 24 months, its capital share was more than double its deal share, with a capital share to deal share ratio of 2.21.
The category’s average deal size was $451.63M, and its median deal size was $402.5M. Those numbers are not normal software-tooling numbers; they resemble frontier-AI infrastructure financing.
Every other active category had a capital share to deal share ratio below 0.20 except Fleet Management Software at 0.11. This confirms that non-foundation robotics software gets funded, but not at platform-company check sizes.
Simulation Software is the most underrepresented active category. It had one qualifying deal, Antioch at $4.25M, even though simulation is necessary for scalable robot testing and deployment.
Which geographies matter most for fundraising in the robotics software market?
As of July 2026, North America is the geography that matters most for robotics software fundraising. Over the past 24 months, it captured 10 of 14 deals and $2.79B of disclosed capital.
North America represented 71.43% of deals and 97.44% of disclosed dollars. Its average deal size was $278.87M, and its median deal size was $36M.
Europe was visible by deal count but much smaller by capital. It produced 4 deals, or 28.57% of activity, but only $73.3M, or 2.56% of disclosed capital.
The gap between regions is not just about company count. It reflects different funding regimes, with North America financing frontier physical-AI platforms and Europe financing smaller software-company formation.
Is the robotics software opportunity set broad or concentrated in one hub?
As of July 2026, the robotics software opportunity set is highly concentrated in North America. Over the past 24 months, North America captured almost all capital, while Europe was the only other active disclosed region.
Asia-Pacific, Latin America, the Middle East, and Africa had no qualifying disclosed pure-play robotics software rounds in the dataset. That does not mean there is no robotics activity in those regions, but it means it did not appear as disclosed pure-play software financing under these filters.
Europe’s role is still important because it produced 4 deals. But its median round size was $9.25M, compared with $36M in North America.
The robotics software market therefore has one capital hub and one visible formation region. North America sets the funding tempo, while Europe contributes smaller company-formation signals.
Is robotics software a market of small experiments or scaled financings?
As of July 2026, the robotics software market is a mix of small experiments and scaled financings, but the dollars are overwhelmingly scaled. Over the past 24 months, 5 of 14 deals were $50M or more, while 4 were above $100M.
The lower end of the market is still present. There were 2 deals below $5M, 3 deals between $5M and $20M, and 4 deals between $20M and $50M.
But the capital story changes once the largest rounds enter the dataset. Rounds above $50M pushed total funding to $2.86B, while all rounds at or below $50M together added up to only $206.95M.
The median round size of $32M is therefore more useful than the average of $204.43M. The average describes the outlier layer, while the median describes the ordinary disclosed deal.
What does the deal-size distribution say about the maturity of the robotics software market?
As of July 2026, the deal-size distribution shows that the robotics software market is still bifurcated. Over the past 24 months, small and mid-sized rounds funded tooling companies, while very large rounds funded foundation-model companies.
The market does not look like a smooth ladder from Seed to Series B. Instead, it jumps from $4M to $40M tooling rounds into $400M-plus physical-AI rounds.
This creates a credibility test for new companies. A startup claiming general robot intelligence needs evidence of cross-embodiment learning, while a tooling company needs adoption, workflow depth, and deployment density.
The size distribution also suggests that investors are underwriting two different risk profiles. One is venture software adoption risk; the other is frontier-AI platform risk applied to robotics.
Who are the investors that appear the most in robotics software fundraising?
As of July 2026, only a small group of investors appear more than once in robotics software fundraising. Over the past 24 months, repeated investor appearances were concentrated around Trener Robotics, Skild AI, FieldAI, Flexion Robotics, and OpenMind.
Engine Ventures, Emergent Ventures, and Raisewell Ventures each appeared in both Trener Robotics rounds. These repeat appearances show continued backing of one developer-tools company rather than broad coverage across the whole robotics software market.
NVentures appeared in at least two deals, with participation reported around Flexion Robotics and Skild AI, and also reported in FieldAI. Bezos-linked capital appeared in at least two deals, including Physical Intelligence and FieldAI, with Bezos Expeditions also reported in Skild AI.
Lightspeed-linked capital also appeared more than once, through OpenMind and Skild AI. Redalpine and Moonfire appear repeatedly if counting Flexion’s disclosed prior seed and Series A, although only one Flexion row is separately itemized in the dataset period.
One caveat matters. Round announcements usually disclose total round size, not each investor’s exact check, so repeat participation should be read as presence, not dollars committed.
INSIGHTS
The insights below come from reviewing every disclosed equity round in the robotics software market between August 2024 and July 2026. They are not row-by-row summaries. They are the reusable patterns that kept showing up across the 14-deal dataset, and they are meant to stay useful when reading any future robotics software funding announcement.
- The robotics software market is statistically dominated by robot foundation-model companies, not traditional middleware. Robot Perception Software holds 42.86% of deals but 94.68% of capital. Investors are paying mainly for generalizable intelligence rather than operational tooling.
- The capital share to deal share ratio makes the category hierarchy unusually clear. Robot Perception Software has a ratio of 2.21, while every other active category sits far below it. That means non-foundation software is deal-relevant but capital-light.
- The robotics software market has a winner-take-most funding structure. Skild AI’s $1.4B Series C represents 48.92% of all capital. Headline market size mostly reflects one conviction trade rather than broad liquidity.
- Concentration remains extreme even beyond the largest deal. The top 3 deals represent 78.79% of capital. This means the market’s funding signal is shaped by a small group of perceived platform companies.
- The median round size is more informative than the average. The median is $32M, while the average is $204.43M. The gap shows how much mega-rounds distort market-level averages.
- Excluding rounds above $50M changes the market completely. Total capital falls from $2.86B to $206.95M. That means the normal venture layer is much smaller than the headline number suggests.
- The robotics software market has a month-to-month inactivity problem. Median monthly deals and median monthly capital are both zero. The market is not yet producing a continuous financing cadence.
- Funding is event-driven rather than pipeline-driven. Activity clusters around a few foundation-model announcements. This suggests investors are still validating platform theses instead of funding many scaled software vendors.
- Series A is the center of gravity by deal count. It represents 42.86% of all deals. But Series A rounds range from practical software financings to large physical-AI platform bets.
- Seed rounds are common but economically marginal. They represent 35.71% of transactions but only 1.38% of capital. Many teams can start, but only a few can access scale capital.
- The early-stage versus scale-stage split is not balanced. Seed plus Series A holds 35.53% of capital, while Series B, Series C, and large unknown rounds hold 64.47%. Capital pools around perceived scale winners.
- Europe has a visible company-formation role but not a capital-dominance role. It contributes 28.57% of deals but only 2.56% of capital. European robotics software startups are present, but much less heavily financed.
- North America absorbs nearly all category-defining risk capital. With 97.44% of dollars and 71.43% of deals, it controls both the mega-round layer and most platform bets.
- Fleet Management Software looks commercially grounded but less venture-scalable in this dataset. Overland AI and Energy Robotics have operationally specific use cases. Yet the category captures only 1.59% of capital.
- Robot Data Platforms are strategically important but underfunded relative to foundation models. Foxglove’s $40M Series B is meaningful. Still, the category’s 1.40% capital share shows investors prioritize model ownership over data tooling.
- Simulation Software is conspicuously underrepresented. Antioch is the only simulation-specific deal. This suggests simulation may be treated as enabling infrastructure rather than the main value-capture layer.
- Motion Planning Software and Safety Software show no qualifying pure-play deals. That does not make them unimportant. It suggests those functions are currently embedded inside broader autonomy stacks.
- The strongest investor signal is attached to cross-embodiment claims. Physical Intelligence, FieldAI, Skild AI, Rhoda AI, and Flexion all pitch intelligence that can generalize across robot bodies. Embodiment-agnosticism is the dominant valuation narrative.
- The market rewards claims of data flywheels more than narrow workflow efficiency. Large rounds go to companies claiming broader robot-learning loops. Smaller rounds fund developer, fleet, data, OS, and simulation tools.
- Funding size is not a direct proxy for commercial deployment maturity. Some of the largest rounds fund future generalization. Smaller companies such as Energy Robotics and Foxglove show clearer operational workflow evidence.
- The largest unresolved risk is whether generalist robot intelligence can produce repeatable deployment economics. The funding pattern assumes transferable software value. The dataset still contains more capital evidence than scaled revenue evidence.
PitchBook (Physical Intelligence), Business Wire (Trener Robotics Seed), Overland AI (Series A), Business Wire (BOW), Robotics and Automation News (OpenMind), FieldAI (Funding announcement), PR Newswire (Energy Robotics), Business Wire (Foxglove), Flexion (Series A), SiliconANGLE (Antioch), Business Wire (Skild AI), Trener Robotics (Series A), Business Wire (Rhoda AI), Oxford Science Enterprises (Stateful Robotics)
Related blog posts
- A full list of funding deals in the robotics software market
- Which companies have raised the most funding in the robotics software market?
- Which companies are the most valued in the robotics software market?
