Deep Tech Startup Funding

Last updated: 13 July 2026
market research pitch 2026

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SUMMARY

This page analyzes publicly disclosed equity rounds raised by pure-play deep tech companies between August 2025 and July 2026, a 12-month window based on announcement dates. We only kept disclosed rounds of $300K or more, excluded grants, debt-only financings, acquisitions, broad AI/software-only companies, and adjacent companies that are not built specifically for deep tech use cases.

Over this period, fundraising in the deep tech market was active but highly concentrated. The dataset includes 24 disclosed deals, 21 unique companies, and $3.28B in total capital raised.

The deep tech market is shaped by a small number of very large validation events. The top deal represents 18.27% of all disclosed capital, the top 3 deals reach 49.32%, and the top 10 reach 87.29%.

Megarounds define the market’s dollar signal. Rounds above $50M account for 45.83% of disclosed deals but 89.12% of total capital raised.

The median round size is $50M, while the average round size is $136.85M. That gap shows that average deal size overstates what a typical deep tech company raised in this window.

Deal flow averaged 2.00 rounds per month, with a median of 2.00 rounds per month. Capital raised averaged $273.7M per month, but monthly dollars were pulled upward by a few outlier months.

Robotics Platforms led the deep tech market by capital raised, with $1.54B and 46.74% of all disclosed dollars. Quantum Technologies followed with $952M and 28.99% of disclosed capital.

Quantum Technologies and Space Technologies were the most active categories by deal count, with 5 deals each. Robotics Platforms had fewer deals, but absorbed much larger checks.

Series A rounds dominated both deal count and capital. They represented 14 of 24 deals and $1.70B, confirming that “Series A” in deep tech often means industrial-scale capitalization.

North America dominated the deep tech market, with 19 deals and $2.95B raised. That equals 79.17% of deal count and 89.69% of disclosed capital.

Investor repetition is harder to interpret than company, date, and amount data. Many deep tech announcements disclose only selected participants, so investor counts are less reliable than funding totals.

What are all the funding deals in the deep tech market from August 2025 to July 2026?

The table below lists every disclosed equity round raised by pure-play deep tech companies between August 2025 and July 2026. We count as pure-play deep tech companies those focused on science-heavy technologies that require major technical breakthroughs before they scale commercially.

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 disclosed in the dataset, and the announcement source.

Company What they do Category Date Stage Deal size Region Main investors Source
Quantinuum Full-stack quantum computing company developing trapped-ion quantum computers, quantum software, and quantum applications Quantum Technologies Sep 2025 Growth Equity $600M North America Not disclosed in dataset PR Newswire
ChipAgents Agentic AI platform built specifically for semiconductor chip design and verification workflows Semiconductor Technologies Oct 2025 Series A $21M North America Not disclosed in dataset Business Wire
Mind Robotics Industrial robotics platform spun out of Rivian, building AI-enabled robots for manufacturing and industrial deployment Robotics Platforms Nov 2025 Seed $115M North America Not disclosed in dataset TechCrunch
Maritime Fusion Fusion energy company developing first-of-a-kind fusion reactors for maritime and off-grid applications Fusion Technologies Nov 2025 Seed $4.5M North America Trucks VC; Paul Graham PR Newswire
Neurable Noninvasive brain-computer interface company developing everyday BCI technology Biotech Platforms Dec 2025 Series A $35M North America Not disclosed in dataset Business Wire
Quantum Art Quantum computing company developing scalable multi-core quantum computing systems Quantum Technologies Jan 2026 Series A $100M Middle East Not disclosed in dataset PR Newswire
Converge Bio AI-enabled biotech platform for drug discovery and biology modeling Biotech Platforms Jan 2026 Series A $25M North America Not disclosed in dataset TechCrunch
Project Eleven Post-quantum security company building quantum-resistant digital asset infrastructure Quantum Technologies Jan 2026 Series A $20M North America Not disclosed in dataset PR Newswire
EtherealX Space launch company developing reusable launch vehicles and in-house rocket engines Space Technologies Jan 2026 Series A $20.5M Asia-Pacific Not disclosed in dataset TechCrunch
Avalanche Energy Fusion energy startup developing compact modular fusion machines Fusion Technologies Feb 2026 Unknown $29M North America Not disclosed in dataset PR Newswire
Apptronik AI-powered humanoid robotics company developing Apollo robots for logistics, industrial, and commercial deployment Robotics Platforms Feb 2026 Series A $520M North America Not disclosed in dataset Apptronik
ChipAgents Agentic AI platform built specifically for semiconductor chip design and verification workflows Semiconductor Technologies Feb 2026 Series A $50M North America Not disclosed in dataset Business Wire
Science Corp. Neural engineering and BCI company commercializing the PRIMA retinal implant and broader brain-interface technologies Biotech Platforms Mar 2026 Series C $230M North America Not disclosed in dataset Science Corp.
Lux Aeterna Space infrastructure company developing reusable satellite platforms and returnable payload systems Space Technologies Mar 2026 Seed $10M North America Not disclosed in dataset PR Newswire
Mind Robotics Industrial robotics platform building AI-enabled robotic systems for factory and manufacturing deployment Robotics Platforms Mar 2026 Series A $500M North America Not disclosed in dataset Business Wire
Xscape Photonics Photonics semiconductor company developing multi-wavelength optical interconnect technology for AI data center networking Semiconductor Technologies Mar 2026 Unknown $37M North America Not disclosed in dataset Business Wire
Starcloud Space infrastructure company developing orbital data centers Space Technologies Mar 2026 Series A $170M North America Not disclosed in dataset TechCrunch
Portal Space Systems Space propulsion company developing high-power solar thermal propulsion systems for next-generation spacecraft Space Technologies Apr 2026 Series A $50M North America Not disclosed in dataset TechCrunch
NanoTech Materials Advanced materials company developing thermal protection materials for energy efficiency and fire resilience Advanced Materials Apr 2026 Series A $29.4M North America Not disclosed in dataset Business Wire
Syenta Semiconductor advanced packaging company developing chip-to-chip connectivity technology for AI systems Semiconductor Technologies Apr 2026 Series A $26M Asia-Pacific Not disclosed in dataset Business Wire
Skyroot Aerospace Space launch company developing private orbital rockets Space Technologies May 2026 Series C $60M Asia-Pacific Not disclosed in dataset Via Satellite
Mind Robotics Industrial robotics platform building AI-enabled robotic systems for manufacturing deployment Robotics Platforms May 2026 Unknown $400M North America Not disclosed in dataset Business Wire
Quobly Quantum computing company building silicon-based quantum computers Quantum Technologies Jun 2026 Series A $132M Europe Not disclosed in dataset PR Newswire
Atom Computing Neutral-atom quantum computing company developing fault-tolerant quantum computers Quantum Technologies Jun 2026 Series C $100M North America Not disclosed in dataset PR Newswire

OUR METHODOLOGY TO BUILD THIS TRACKER

We built this deep tech funding tracker by reviewing publicly disclosed equity rounds raised by pure-play deep tech companies between August 2025 and July 2026. A company counts as pure-play when more than 80% of its activity is dedicated to science-heavy technologies that require major technical breakthroughs before commercial scale.

We applied four filters to build the dataset. First, we only included equity rounds, so grants, debt, and debt-only financings are excluded. Second, we only counted rounds of $300K or more. Third, we only kept pure-play deep tech 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 final dataset contains 24 disclosed deals across 21 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 deep tech funding tracker.

How active has fundraising been in the deep tech market?

As of July 2026, fundraising in the deep tech market has been active but uneven. Over 12 months, companies raised 24 disclosed equity rounds and $3.28B combined, which works out to 2.00 deals per month.

The deal count suggests steady visible activity. The median number of deals per month is also 2.00, so the deep tech market did not rely on only one or two announcement clusters for activity.

The dollar flow is much less even. Average capital raised per month was $273.7M, while the median month was $142.5M, which shows how a few large months lifted the annual total.

The strongest month was March 2026, when Science Corp., Mind Robotics, Starcloud, Xscape Photonics, and Lux Aeterna all announced financings. That month alone produced $947M of disclosed capital.

How concentrated has fundraising been in the deep tech market?

As of July 2026, fundraising in the deep tech market has been extremely concentrated. Over 12 months, the largest deal represented 18.27% of all disclosed capital, the top 3 deals reached 49.32%, and the top 5 reached 68.51%.

This means deep tech funding totals should not be read as broad market liquidity. They are better understood as a set of large validation events around a few highly capitalized platform companies.

The top 10 deals accounted for 87.29% of total dollars. That leaves only 12.71% of disclosed capital for the remaining 14 rounds, even though those smaller rounds explain most of the company breadth.

This concentration is normal for capital-intensive deep tech. When companies need frontier hardware, specialized talent, long timelines, and technical proof points, investors tend to concentrate capital around the teams they trust most.

How much of the deep tech funding signal is driven by outliers?

As of July 2026, most of the deep tech funding signal is driven by outliers. Over 12 months, 11 of 24 disclosed deals were above $50M, but those rounds represented 89.12% of total disclosed capital.

The median round size was $50M, while the average round size was $136.85M. That spread shows why the average is not a good proxy for a typical company in the deep tech market.

Excluding rounds above $50M leaves only $357.4M of the $3.28B total. In other words, the visible middle of the market is much smaller than the headline funding number implies.

The largest checks went to Quantinuum, Apptronik, Mind Robotics, Science Corp., Starcloud, Quobly, and Atom Computing. Those companies shape the market’s capital narrative far more than the long tail of smaller rounds.

Is the deep tech market broad with many targets, or narrow with few fundable companies?

As of July 2026, the deep tech market looks broad in category coverage but narrow in fundable company concentration. Over 12 months, the dataset includes 24 deals across 21 unique companies, which means only a few companies raised more than once.

The category spread is wide. The dataset includes Quantum Technologies, Robotics Platforms, Space Technologies, Biotech Platforms, Semiconductor Technologies, Fusion Technologies, and Advanced Materials.

But capital is not spread evenly across those categories. Robotics Platforms and Quantum Technologies together account for $2.49B, or 75.73% of all disclosed capital raised in the deep tech market.

Repeat financing also matters. Mind Robotics raised three times inside the dataset, while ChipAgents raised twice. That recurrence is a stronger signal than a single announcement because it shows repeated investor validation under similar market conditions.

Is deep tech mostly an early-stage formation market or a late-stage scaling market?

As of July 2026, the deep tech market is not cleanly early-stage or late-stage. Over 12 months, Seed plus Series A rounds represented $1.83B, or 55.67% of disclosed capital, while later and unknown-stage rounds represented $1.46B, or 44.33%.

The stage labels need careful interpretation. Series A rounds alone represented 14 of 24 deals and $1.70B, which is unusually large for a label often associated with early-stage software companies.

In deep tech, a Series A can mean a full industrial-scale capitalization event. Apptronik’s $520M Series A, Mind Robotics’ $500M Series A, Starcloud’s $170M Series A, and Quobly’s $132M Series A all show that pattern.

Seed funding is also distorted by one company. Mind Robotics raised a $115M seed, so without that one deal, seed activity would look much closer to conventional company formation.

Which categories attract the most investor attention in deep tech?

As of July 2026, Quantum Technologies and Space Technologies attracted the most investor attention by deal count in the deep tech market. Over 12 months, each category produced 5 disclosed deals, equal to 20.83% of the dataset.

Robotics Platforms and Semiconductor Technologies followed with 4 deals each. Biotech Platforms had 3 deals, Fusion Technologies had 2 deals, and Advanced Materials had 1 deal.

Deal count and capital tell different stories. Quantum and space were equally active by count, but quantum raised $952M while space raised $310.5M, so quantum attracted larger checks per round.

Robotics had fewer deals than quantum or space, but it raised the most capital. The category captured $1.54B, showing that investor attention is not just about deal frequency but about willingness to fund expensive deployment platforms.

Which categories attract disproportionately large checks in the deep tech market?

As of July 2026, Robotics Platforms attracted the most disproportionately large checks in the deep tech market. Over 12 months, robotics captured 46.74% of capital from only 16.67% of deals, giving it a capital-share to deal-share ratio of 2.80.

That ratio is the clearest category heat signal in the dataset. Apptronik and Mind Robotics turned robotics into the largest capital pool despite the category not leading deal count.

Quantum Technologies also attracted large checks, with a capital-share to deal-share ratio of 1.39. Its median deal size was $100M, which suggests investors were underwriting system roadmaps and fault-tolerance milestones rather than narrow software claims.

Space, semiconductors, fusion, and advanced materials all sat below parity on this ratio. That does not make them weak categories, but it suggests their rounds were more milestone-oriented or component-focused during this window.

Which geographies matter most for fundraising in the deep tech market?

As of July 2026, North America mattered most for fundraising in the deep tech market by both deal count and capital raised. Over 12 months, North America produced 19 of 24 deals and $2.95B, equal to 89.69% of disclosed capital.

North America’s dominance is stronger in capital share than deal share. It represented 79.17% of deals but 89.69% of dollars, which means its companies also raised larger checks.

Europe appeared through one disclosed round, Quobly’s $132M Series A. That single deal was meaningful, but it also shows that European public evidence was sparse in this period.

Asia-Pacific produced 3 deals and $106.5M, while the Middle East produced 1 deal and $100M. Asia-Pacific had credible company formation in space and semiconductors, but with smaller round sizes than North America.

Is the deep tech opportunity set broad or concentrated in one hub?

As of July 2026, the deep tech opportunity set is concentrated in one dominant hub. Over 12 months, North America held 79.17% of disclosed deals and 89.69% of disclosed capital.

The rest of the world appears, but mostly through isolated examples. Europe had Quobly, the Middle East had Quantum Art, and Asia-Pacific had EtherealX, Syenta, and Skyroot Aerospace.

The geographic median also shows the asymmetry. North America’s median deal was $50M, but its average was $155.05M, which means the region had both normal deal flow and almost all outlier rounds.

Latin America and Africa do not appear in this disclosed dataset. That does not prove deep tech activity is absent there, but it does mean no qualifying public equity round was captured in this strict window.

Is deep tech a market of small experiments or scaled financings?

As of July 2026, the deep tech market is a market of scaled financings more than small experiments. Over 12 months, 13 of 24 disclosed deals were $50M or larger, and 8 were above $100M.

The small-round tail exists, but it does not define the market. Only 1 deal was below $5M, 1 deal was between $5M and $20M, and 9 deals were between $20M and $50M.

The median round size was $50M. That means the middle disclosed deal in the deep tech market was already large enough to fund serious technical hiring, hardware development, or infrastructure milestones.

The average round size was $136.85M, but that number is pulled upward by a handful of very large raises. The more useful reading is that deep tech requires large checks when companies move from technical proof to platform scale.

Who are the investors that appear the most in deep tech fundraising?

As of July 2026, investor repetition in the deep tech market is difficult to measure reliably. Over 12 months, the dataset shows several likely repeat investors, but round announcements often disclose only leads or selected participants.

Eclipse appears most closely tied to repeat robotics exposure through Mind Robotics. That matters because Mind Robotics alone raised three included financings and $1.02B in disclosed capital.

Khosla Ventures, Bessemer Venture Partners, Google or Alphabet-related capital, and NVIDIA or NVentures appear in the broader disclosed investor context, but the exact count depends on how complete each announcement’s participant list is.

The safest interpretation is that investor counts are less reliable than company, amount, and date counts. Deep tech press releases usually disclose total round size, but not individual check size or full cap table participation.

INSIGHTS

The insights below come from reviewing every disclosed equity round in the deep tech market between August 2025 and July 2026. They are not row-by-row summaries. They are the reusable patterns that kept showing up across the 24-deal dataset, and they are meant to stay useful when reading any future deep tech funding announcement.

  • The deep tech market behaves like a power-law market. The top 5 deals represent 68.51% of disclosed capital, while the top 10 represent 87.29%. Headline funding is therefore a story about a few companies, not broad liquidity.
  • Capital concentration is not a side effect in deep tech. It is the core market structure. Large technical platforms need enough capital to survive long development cycles, so investors concentrate around the few teams they believe can clear those milestones.
  • The gap between median and average round size is a warning signal. The median round was $50M, but the average was $136.85M. Any analysis based only on averages will overstate what most companies can raise.
  • Rounds above $50M represented 45.83% of deals but 89.12% of capital. This means the difference between being funded and being institutionally validated at scale is unusually large in the deep tech market.
  • Series A does not mean the same thing in deep tech as it does in software. Series A rounds held 58.33% of deals and 51.73% of dollars. Several of those rounds looked more like industrial capitalization events than early product validation.
  • Seed-stage activity is distorted by Mind Robotics’ $115M seed round. Without that one financing, seed would look far more conventional. In deep tech, exceptional spinout credibility can compress several normal funding stages into one launch event.
  • Robotics Platforms were not the most active category, but they absorbed the most capital. This shows that investors were not broadly funding robotics experimentation. They were backing a small number of expensive physical-deployment bets.
  • Quantum Technologies had the strongest repeated platform signal after robotics. The category raised $952M across 5 deals, with a $100M median round. That suggests investors are underwriting system roadmaps, not just quantum software narratives.
  • Space Technologies had the same number of deals as quantum, but only about one-third of quantum’s capital. Space funding in this dataset looks more milestone- and subsystem-oriented, while quantum was priced more like infrastructure.
  • Semiconductor Technologies showed meaningful activity but not fabrication-scale funding. The category had four deals and $134M raised, suggesting investor interest in design software, photonics, packaging, and connectivity rather than massive manufacturing buildouts.
  • Fusion appeared in the dataset, but not through the largest sector-scale financings. The two included rounds totaled $33.5M, which points to technical-progress funding rather than full commercialization funding during this window.
  • Advanced Materials was represented by only one deal. That may reflect underdetection in public sources, but within this dataset the category lacked the repeated validation visible in quantum, robotics, space, and semiconductors.
  • North America dominated both the number of deals and the size of checks. The region held 79.17% of deals and 89.69% of capital, which means it produced both the normal deal flow and almost all outlier rounds.
  • Asia-Pacific showed credible company formation but smaller disclosed checks. The region represented 12.50% of deals and only 3.24% of capital. Its role in this dataset is visible, but not yet capital-dominant.
  • Europe’s only included deal was still large. Quobly’s $132M Series A shows that European deep tech can raise major rounds, but public evidence in this period was sparse and concentrated.
  • The market shows a clear platform premium. Quantum computers, robotics stacks, BCI platforms, orbital data centers, and advanced infrastructure companies received larger checks than narrower component companies.
  • The strongest signal in the dataset is technical credibility, not near-term revenue maturity. Apptronik, Mind Robotics, Quantinuum, Atom Computing, Quobly, and Science Corp. all raised large rounds before mass-market deployment.
  • Repeat financing is more informative than company count. Mind Robotics raised three times and ChipAgents raised twice. In deep tech, financing velocity can reveal investor conviction faster than commercial revenue does.
  • Public-source visibility likely favors large, English-language, US-centered announcements. This dataset is strongest for capital concentration analysis and weaker for capturing every small global round.
  • The most useful forecasting rule is simple: deep tech financings scale sharply when a company can frame itself as an infrastructure platform. That pattern applies across robotics, quantum, BCI, space compute, and semiconductor enablement.

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