Top 30 AI & Deep Tech Venture Capital 2026

This report forms part of the Capital Ranking Venture Capital series, which evaluates specialist venture investors, startup-financing platforms, and private-market institutions across major strategy and company-development categories.

AI and deep-tech venture capital firms finance companies whose principal risks are scientific, engineering, computational, or industrial rather than purely commercial. They frequently invest before technical feasibility, manufacturing economics, regulatory pathways, or large-scale customer adoption are fully established. Their work therefore requires more than conventional market analysis: credible investors must evaluate research quality, system architecture, intellectual property, technical teams, capital intensity, and the path from laboratory or prototype to repeatable production.

The category extends across artificial intelligence, semiconductors, robotics, autonomous systems, quantum technologies, advanced computing, biotechnology, space, defense, energy, advanced materials, industrial automation, and other technically demanding markets. Some firms concentrate on AI-native software and computing infrastructure. Others specialize in the physical, scientific, and industrial systems through which computation changes the real economy.

This ranking identifies venture firms with a sustained AI, deep-tech, frontier-technology, or technically oriented investment franchise. It evaluates category authority, technical credibility, founder access, commercialization capacity, institutional continuity, and current market relevance rather than ranking firms by one fund’s return, a single portfolio-company valuation, announced assets under management, or the number of investments completed.

Market Overview

AI and deep-tech venture capital has become a distinct institutional segment within the wider innovation market. Conventional software companies can often test a product and reach customers with comparatively modest capital. A semiconductor, robotics, quantum, biotech, aerospace, or advanced-energy company may instead require laboratories, specialized equipment, regulatory approval, manufacturing partners, long validation cycles, and several forms of capital before revenue becomes meaningful.

These conditions change the investor’s role. Technical diligence must distinguish a defensible scientific or engineering advantage from an impressive demonstration that cannot scale. Commercial diligence must determine whether the technology solves a problem valuable enough to justify adoption costs, infrastructure changes, and long procurement cycles. Financing strategy must combine equity with grants, strategic partnerships, project capital, government programs, and later-stage investors without undermining the company’s long-term position.

Artificial intelligence introduces a related but different challenge. Foundational-model, infrastructure, tooling, and application companies do not share the same capital requirements or competitive defenses. Investors must assess access to compute, data rights, model dependency, inference economics, security, distribution, customer concentration, and the possibility that rapidly improving general models will absorb a portfolio company’s apparent differentiation.

Geography also matters more than in conventional software. The United States has the deepest private-capital and customer markets, but Europe, Canada, Israel, Australia, Singapore, and the Nordic countries possess important research, semiconductor, industrial, and scientific ecosystems. The strongest specialist investors connect those local sources of invention with global customers, talent, manufacturing capacity, and follow-on capital.

Industry Trend — 2026

The 2026 venture market is exceptionally large but highly concentrated. KPMG’s Q2 2026 Venture Pulse recorded $227.4 billion of global venture investment across 8,440 deals, following a record $332.9 billion in Q1. OpenAI’s $122 billion Q1 financing and Anthropic’s $65 billion Q2 round materially shaped those totals, illustrating why aggregate venture figures do not describe the financing environment faced by a typical technical startup.

The underlying AI allocation is nevertheless substantial. The Stanford AI Index 2026 estimated that global private investment in AI reached $344.7 billion in 2025, up 127.5% year over year. Generative-AI companies accounted for $170.9 billion—nearly half of the total—and the number of newly funded AI companies increased by 70.8%.

Capital remains geographically concentrated. Stanford estimated 2025 private AI investment of $285.9 billion in the United States, compared with $20.9 billion in Europe and $12.4 billion in China under its private-investment methodology. Public guidance funds, corporate balance sheets, and state-backed infrastructure are not captured completely by those comparisons, but the figures demonstrate the unusual depth of the US private-capital market.

Deep tech beyond software is also attracting more capital. The 2026 Deep Tech Report reported $156.6 billion of deep-tech venture funding across the United States and Europe in 2025, with the United States representing approximately 80% of the total. Robotics funding tripled in the United States and doubled in Europe, while KPMG reported continued 2026 activity in quantum computing, semiconductors, defense technology, space, biotechnology, and AI-enabled scientific discovery.

The decisive issue is therefore no longer whether investors recognize AI and deep tech as important. It is whether they can underwrite technical substance while controlling concentration, valuation, compute, manufacturing, and commercialization risk. Specialist firms with credible scientific networks, industrial relationships, and sufficient reserves are positioned more strongly than generalist investors whose category exposure depends mainly on the current market narrative.

2026 market indicator	Current evidence	Implication for AI and deep-tech investors
Global VC investment	$227.4 billion across 8,440 deals in Q2, following $332.9 billion in Q1	Headline strength is real, but a small number of AI megadeals materially distort aggregate conditions
United States VC	$144.9 billion across 3,644 Q2 deals	The US retains exceptional depth in technical formation, follow-on financing, customers, and exits
Global private AI investment	$344.7 billion in 2025, up 127.5% year over year	AI has moved from a specialist allocation into a central venture-capital market
Generative-AI investment	$170.9 billion in 2025, nearly half of global private AI investment	Managers must distinguish foundational models, infrastructure, tools, and applications rather than treating AI as one market
Newly funded AI companies	Up 70.8% globally in 2025	Broader formation increases opportunity while raising the burden of technical and commercial selection
Geographic concentration	$285.9 billion of US private AI investment in 2025, versus $20.9 billion in Europe and $12.4 billion in China	Cross-border firms can connect non-US research ecosystems with the deepest private-capital market
US and European deep tech	$156.6 billion of 2025 venture funding, approximately 80% in the US	Industrial and scientific technology is attracting scale, but capital remains unevenly distributed
Quantum financing	Q2 2026 included a $178 million QuantWare round and a $66 million eleQtron round	Long-horizon technical fields remain financeable when specialist diligence and credible commercialization paths are present

Methodology — Core Eligibility Criteria

Firms considered for this ranking were required to satisfy the following core conditions:

• Operate as an independent venture capital firm or maintain a clearly identifiable and institutionally meaningful AI, deep-tech, frontier-technology, or technically oriented investment franchise
• Invest in artificial intelligence, advanced computing, semiconductors, robotics, autonomy, biotechnology, quantum technology, space, defense, energy, climate systems, advanced materials, industrial technology, or related scientific and engineering markets
• Demonstrate repeated participation in company formation, venture financing, technical commercialization, or the scaling of research-intensive businesses
• Maintain an active investment organization, current portfolio activity, and identifiable market presence during the 2026 evaluation period
• Possess sufficient institutional substance, specialist authority, technical credibility, founder reputation, or ecosystem influence to justify inclusion
• Connect investment selection with practical capacity to support technical recruitment, product development, regulatory strategy, manufacturing, industrial partnerships, customers, or subsequent financing

Corporate venture-capital arms, bank-owned investment programs, direct government investment agencies, accelerator-only organizations, angel syndicates without a durable institutional platform, inactive firms, winding-down organizations, and acquired brands without meaningful independent market identity were excluded or de-emphasized. Independently managed venture firms with university, research-institute, sovereign, or public-sector limited partners remained eligible where investment decisions and fund operations were institutionally distinct.

A firm did not need to invest exclusively in AI or deep tech. Multi-sector and multi-stage managers remained eligible where technically ambitious company formation represented a sustained, visible, and strategically important part of the franchise rather than incidental exposure to a fashionable theme.

Methodology — Ranking Factors

The selected firms were evaluated using a combination of qualitative and structural factors:

• Strength, clarity, and continuity of the AI, deep-tech, or frontier-technology investment identity
• Technical credibility and capacity to evaluate complex scientific, computational, and engineering opportunities
• Founder access across research institutions, technical communities, industrial networks, and company-building ecosystems
• Record of backing companies at pre-seed, seed, Series A, growth, or comparable technical-commercialization stages
• Ability to support scientific validation, technical recruitment, product architecture, regulatory navigation, manufacturing, customer access, and follow-on financing
• Sector depth across AI infrastructure and applications, semiconductors, robotics, advanced computing, biotechnology, quantum, defense, space, energy, climate, and industrial systems
• Credibility as a lead or specialist co-investor and ability to provide institutional signaling to later investors and strategic partners
• Scale and structure of capital available for long development cycles, capital-intensive milestones, and reserves
• Access to laboratories, universities, research institutes, corporations, governments, industrial partners, and non-dilutive funding networks
• Geographic reach and ability to help portfolio companies enter international capital, customer, talent, and manufacturing markets
• Contribution to specialist investment models, including venture creation, scientific spinout formation, technical founder support, and research commercialization
• Current activity, organizational continuity, portfolio development, and visible institutional relevance during the 2026 evaluation period

The assessment universe comprised approximately 140 AI-focused venture firms, deep-tech specialists, frontier-technology investors, scientific venture creators, multi-stage managers with established technical franchises, and regional commercialization platforms. Thirty firms were selected.

Tier classifications reflect relative institutional positioning within the AI and deep-tech venture-capital ecosystem. They do not constitute an investment recommendation, fund-performance ranking, fundraising endorsement, technical-validation conclusion, due-diligence opinion, or prediction of portfolio-company outcomes.

Company Profiles and Further Reference

Firm names appearing in this ranking are linked to their corresponding profiles in The Economy Wiki for companies, where available. These profiles provide additional background on each organization, including its principal activities, sector focus, market positioning, leadership, corporate information, and related rankings and analysis across The Economy Network.

The Economy Wiki profiles are maintained as editorial reference pages and may be updated as new public information becomes available.

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Tier I — Leading AI & Deep Tech Venture Capital Platforms

Khosla Ventures

• Headquarters: Menlo Park, United States
• Founded: 2004

Khosla Ventures is one of the most influential venture firms associated with technically ambitious company formation. Its portfolio spans artificial intelligence, climate and energy, robotics, biotechnology, healthcare, advanced computing, enterprise infrastructure, and other markets in which scientific or engineering uncertainty precedes conventional commercial validation.

The firm’s distinguishing characteristic is its willingness to support unconventional ideas with very large potential outcomes. That orientation is valuable in deep tech, where founders may need to prove a new technical architecture, production process, biological mechanism, or energy system before ordinary venture metrics become informative.

Khosla also possesses the capital and institutional networks required to remain involved as companies move from concept through scaling. This matters where development cycles are long and where subsequent rounds must finance compute, clinical work, manufacturing capacity, or industrial deployment rather than software distribution alone.

Khosla Ventures fits Tier I because technically difficult, high-risk company formation is central to its identity. Its breadth extends beyond a pure deep-tech specialist, but its influence, founder access, conviction, and ability to support category-creating companies make it a defining institution in the market.

Lux Capital

• Headquarters: New York / Menlo Park, United States
• Founded: 2000

Lux Capital is one of the clearest category leaders in deep-technology venture capital. The firm invests at the edge of science and engineering across artificial intelligence, robotics, defense, space, biotechnology, advanced manufacturing, autonomous systems, computing, and other complex innovation markets.

Its platform is designed for companies emerging from research, technical communities, and non-obvious intersections between disciplines. These businesses frequently require investors who can understand scientific uncertainty, recruit specialized teams, work with government and industrial customers, and support long commercialization cycles.

Lux has also built a distinctive public intellectual and institutional identity around frontier technology. That visibility strengthens founder access and helps connect portfolio companies with talent, policy networks, customers, strategic partners, and later investors.

Lux Capital fits Tier I because deep tech is not one allocation among many; it is the organizing principle of the firm. Its longevity, technical reputation, portfolio breadth, and cross-sector relevance give it exceptional category authority.

DCVC

• Headquarters: Palo Alto / San Francisco, United States
• Founded: 2011

DCVC, originally known as Data Collective, focuses on deep-technology companies that apply computation, data, science, and engineering to large industrial and social problems. Its investment activity spans artificial intelligence, computational biology, climate, robotics, industrial systems, space, cybersecurity, and data infrastructure.

The firm is particularly relevant where software and computation reshape physical or scientific markets. In these companies, technical defensibility may arise from proprietary datasets, scientific models, complex systems integration, specialized hardware, or domain expertise that cannot be evaluated through conventional software metrics alone.

DCVC combines early technical judgment with the ability to support later development. Its specialist teams and sector networks can help founders navigate scientific validation, industrial partnerships, regulatory environments, and capital requirements across different stages.

DCVC fits Tier I because it maintains one of the market’s most coherent computation-led deep-tech franchises. Its institutional scale, category clarity, and repeated engagement with technically complex businesses place it among the principal reference firms.

Eclipse

• Headquarters: Palo Alto / New York, United States
• Founded: 2015

Eclipse is a venture capital firm focused on transforming physical industries. It backs companies in manufacturing, robotics, industrial automation, logistics, defense, supply chains, energy, hardware-enabled systems, and AI infrastructure where digital technology must operate reliably in the real world.

The firm’s thesis is differentiated from application-software investing. Physical-industry startups must coordinate hardware, software, manufacturing, suppliers, safety, field operations, and demanding enterprise or government customers. These constraints require investors with operational knowledge as well as technical enthusiasm.

Eclipse supports companies through company formation, product strategy, recruiting, manufacturing, commercial development, and follow-on capital. Its platform is particularly relevant to the growth of physical AI, in which machine intelligence moves from digital workflows into machines, factories, infrastructure, and autonomous systems.

Eclipse fits Tier I because it has built a scaled and recognizable franchise around the modernization of the physical economy. Its full-stack orientation and operational depth make it one of the strongest investors in AI-enabled industrial transformation.

Radical Ventures

• Headquarters: Toronto / San Francisco / London, Canada / United States / United Kingdom
• Founded: 2017

Radical Ventures is one of the most specialized institutional venture firms focused on artificial intelligence. It invests across model and data infrastructure, enterprise AI, robotics, autonomy, healthcare, computational science, and applications built around machine intelligence.

Its position is strengthened by technical networks that connect academic research, experienced AI founders, operators, and international capital. Such access is particularly important when investors must evaluate new architectures or research directions before products fit ordinary software-market categories.

The firm’s international presence also links Canada’s research ecosystem with major US and European commercial markets. It can support technical recruiting, customer access, governance, and later financing while maintaining a coherent AI-native investment identity.

Radical Ventures fits Tier I because its category specialization is unusually direct. In a market where many generalist firms added AI exposure after the investment cycle accelerated, Radical has built its institution around the technology’s research, infrastructure, and company-formation ecosystem.

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Tier II — Established AI & Deep Tech Venture Capital Firms

(Alphabetical order)

8VC

• Headquarters: Austin, United States
• Founded: 2015

8VC is a technology investment firm with a substantial franchise across defense, logistics, manufacturing, life sciences, healthcare, enterprise systems, and technically demanding infrastructure. It also creates companies through an internal build program when the desired platform does not yet exist.

The firm is especially relevant to deep tech where software, data, industrial operations, and government markets converge. Its portfolio and operating networks demonstrate sustained interest in autonomous systems, defense technology, robotics, biotechnology, and platforms that modernize complex institutions.

8VC fits Tier II because it is broader than a dedicated AI or scientific specialist, but technically ambitious company building is central to its identity. Its scale, founder network, venture-creation capacity, and access to important industrial and government markets give it strong institutional relevance.

Air Street Capital

• Headquarters: London, United Kingdom
• Founded: 2019

Air Street Capital is an AI-first venture firm investing in companies whose products and competitive advantage are built around machine learning. Its interests extend across frontier AI, infrastructure, developer systems, autonomy, defense, enterprise applications, and computational life sciences.

The firm’s analytical identity is unusually clear. It combines venture investing with extensive research on the state of AI, giving founders and the wider market a visible framework for understanding technical progress, policy, talent, and commercial formation.

Air Street fits Tier II because it is younger and smaller than the largest platforms, but its AI-native positioning, technical network, intellectual contribution, and European founder access give it substantial category authority.

Amadeus Capital Partners

• Headquarters: Cambridge / London / San Francisco, United Kingdom / United States
• Founded: 1997

Amadeus Capital Partners is a long-established technology investor with deep roots in Cambridge’s scientific and engineering ecosystem. Its portfolio spans artificial intelligence, semiconductors, quantum computing, cybersecurity, digital health, communications, and enterprise infrastructure.

The firm is experienced in supporting research-intensive and IP-rich companies through technical validation, team development, international commercialization, and subsequent financing. Its transatlantic presence is valuable to European founders seeking access to US capital, customers, and strategic partners.

Amadeus fits Tier II because it combines institutional longevity with a credible deep-tech franchise. Its category breadth is wider than that of a single-sector specialist, but advanced technology and research commercialization have remained central throughout its operating history.

Cambridge Innovation Capital

• Headquarters: Cambridge, United Kingdom
• Founded: 2013

Cambridge Innovation Capital is a specialist investor in life sciences and deep technology emerging from the Cambridge ecosystem. It supports companies across semiconductors, photonic computing, quantum technologies, artificial intelligence, diagnostics, therapeutics, and other knowledge-intensive fields.

Its structural advantage is proximity to one of the world’s strongest university and research clusters. The firm combines privileged ecosystem access with scientific advisers, commercialization experience, growth capital, and networks capable of connecting technical founders with international investors and industrial partners.

Cambridge Innovation Capital fits Tier II because it has developed substantial institutional scale while retaining a focused research-commercialization identity. Its regional concentration limits global sourcing breadth, but the quality and density of the Cambridge ecosystem make that specialization a strength.

Engine Ventures

• Headquarters: Cambridge, United States
• Founded: 2016

Engine Ventures invests in “Tough Tech” companies translating scientific and engineering breakthroughs into businesses across climate, human health, advanced systems, manufacturing, energy, and other foundational industries. It originated from the Massachusetts Institute of Technology ecosystem but operates as a distinct venture platform.

The firm provides more than investment capital. Technical companies can access laboratory, equipment, workspace, talent, and ecosystem resources suited to experimentation and early commercialization. This addresses practical constraints that conventional venture support rarely solves.

Engine Ventures fits Tier II because its operating model is closely aligned with the requirements of research-intensive company formation. Its focus is broader than AI, but its technical infrastructure and commercialization expertise give it a differentiated position in the deep-tech market.

Founders Fund

• Headquarters: San Francisco, United States
• Founded: 2005

Founders Fund is a multi-stage venture firm with a long-standing orientation toward ambitious technology companies in aerospace, defense, artificial intelligence, biotechnology, energy, computing, and other frontier markets. It has repeatedly backed businesses whose capital needs and technical objectives exceeded conventional software-venture norms.

The firm is associated with founder autonomy, contrarian selection, and a willingness to support large technical missions before broad investor consensus develops. Its portfolio gives it strong signaling power and access to experienced founders, engineers, government customers, and later-stage capital.

Founders Fund fits Tier II because it is not a dedicated deep-tech specialist, yet frontier technology is an enduring and highly visible part of its franchise. Its influence and portfolio record make exclusion less defensible than inclusion, while its generalist structure keeps it below the most category-specific Tier I platforms.

Innovation Endeavors

• Headquarters: Palo Alto, United States
• Founded: 2010

Innovation Endeavors invests in early-stage founders working across AI-native applications, computing infrastructure, sensing, electrification, robotics, biology, and the physical economy. Its strategy is organized around technical breakthroughs rather than a narrow industry vertical.

The firm is particularly relevant where advances in computation interact with complex industries. Its portfolio includes companies in quantum computing, satellites, AI software, drug discovery, industrial systems, and other fields in which technical insight must be paired with a credible path to commercial adoption.

Innovation Endeavors fits Tier II because its current strategy is one of the clearest technical-frontier franchises among established early-stage firms. Its sector breadth, founder access, and long operating history support strong institutional positioning.

IQ Capital

• Headquarters: Cambridge / London, United Kingdom
• Founded: 2007

IQ Capital is a dedicated European deep-tech investor backing companies in artificial intelligence, quantum computing, semiconductors, robotics, synthetic biology, advanced materials, cybersecurity, and computational infrastructure.

The firm’s early-stage orientation and technical expertise are particularly relevant to university spinouts and IP-rich businesses. It supports founders through scientific commercialization, executive recruitment, international market entry, and larger institutional financing.

IQ Capital fits Tier II because it is one of Europe’s clearest independent deep-tech venture franchises. Its scale is smaller than the largest US platforms, but its category purity, Cambridge networks, and specialist authority are substantial.

Main Sequence

• Headquarters: Sydney, Australia
• Founded: 2017

Main Sequence is an independently managed deep-tech venture firm that creates and invests in companies built around scientific research. Founded with Australia’s national science agency CSIRO, it supports businesses from seed through Series B across space, climate, food and agriculture, healthcare, industrial productivity, and the next generation of intelligence.

The platform is designed to bridge the commercialization gap between public research and global company formation. It combines capital with scientific networks, laboratories, industry relationships, and hands-on support, while its later funds have attracted substantial private institutional capital.

Main Sequence fits Tier II because it is the strongest institutional representative of Australia’s deep-tech commercialization ecosystem. Its public-research origins do not diminish its independently managed venture model; instead, they provide differentiated access to technical invention and infrastructure.

Playground Global

• Headquarters: Palo Alto, United States
• Founded: 2015

Playground Global invests in deep-technology companies across artificial intelligence, robotics, automation, advanced computing, semiconductors, hardware, biotechnology, and infrastructure. Its identity is closely connected to technical founders building systems beyond conventional application software.

The firm provides operating and engineering support for companies facing complex product, supply-chain, manufacturing, and commercialization problems. This is especially valuable in robotics and physical AI, where prototypes must become reliable systems that can be produced and deployed at scale.

Playground Global fits Tier II because it combines strong category alignment with an experienced technical network and a developed company-building platform. Its institutional scale is below the Tier I leaders, but its deep-tech specialization is clear and sustained.

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Tier III — Specialist AI & Deep Tech Venture Capital Firms

(Alphabetical order)

Atlantic Bridge

• Headquarters: Dublin / London / Palo Alto / Munich / Paris, Ireland / International offices
• Founded: 2004

Atlantic Bridge is a cross-border growth-equity and venture firm investing in deep-technology companies across Europe, the United Kingdom, and the United States. Its portfolio covers AI infrastructure, semiconductors, enterprise systems, quantum technology, robotics, and research-based university spinouts.

The firm’s principal strength is international commercialization. Technical companies can use its offices, operating partners, and industry networks to enter the US market, recruit executives, develop strategic relationships, and access later-stage financing.

Atlantic Bridge fits Tier III because its broader growth-equity mandate and multi-fund structure extend beyond early deep-tech venture capital. Its long operating history, engineering expertise, and transatlantic platform nevertheless make it a credible specialist inclusion.

Conviction

• Headquarters: San Francisco, United States
• Founded: 2022

Conviction is an AI-native venture firm focused on companies building infrastructure, software, tools, and applications for the transition from conventional computing to machine intelligence. It supports technically strong founders at early stages and participates actively in the wider AI research and company-building community.

The firm’s focused thesis gives it relevance in a market crowded with generalist AI claims. It evaluates how model capability, data, interfaces, agents, and infrastructure create new products and operating systems rather than treating AI as an additional software feature.

Conviction fits Tier III because it has quickly developed a visible AI identity but remains a young institution with a shorter operating record than the established firms above it. Its category focus and founder network justify inclusion despite that relative youth.

Deep Science Ventures

• Headquarters: London, United Kingdom
• Founded: 2016

Deep Science Ventures is a science-led venture creator that forms companies around defined problems and validated technical opportunities. Its work spans climate, agriculture, pharmaceuticals, computation, and other sectors in which new businesses must be built from scientific foundations.

Its model differs from conventional venture selection. DSV develops theses, identifies scientific approaches, assembles founding teams, and supports company formation before a standard institutional financing round exists.

Deep Science Ventures fits Tier III because it is a venture creator rather than a conventional diversified fund, but that structure contributes important coverage of the earliest stage of deep-tech commercialization. Its institutional relevance comes from originating companies, not merely financing them.

Future Ventures

• Headquarters: San Francisco Bay Area, United States
• Founded: 2018

Future Ventures invests in frontier companies across artificial intelligence, robotics, space, advanced manufacturing, climate, energy, and synthetic biology. Its thesis emphasizes long-horizon technologies capable of creating new industries or materially changing existing ones.

The firm is associated with conviction in markets that may remain outside mainstream venture consensus during their earliest stages. Its founders and partners bring experience backing technically ambitious companies through multiple technology cycles.

Future Ventures fits Tier III because it is smaller and newer than the category’s leading institutional platforms. Its frontier-technology clarity and willingness to support technically difficult missions nevertheless give it a credible specialist position.

HCVC

• Headquarters: Paris / San Francisco, France / United States
• Founded: 2015

HCVC, originally developed from the Hardware Club ecosystem, backs founders seeking to industrialize scientific and technological progress. It invests across robotics, advanced manufacturing, defense, climate, biology, semiconductors, computing, and other hardware- and science-intensive markets.

The firm’s transatlantic network is useful to European and US companies requiring manufacturing relationships, technical talent, industrial customers, and later-stage capital. Its portfolio reflects a practical orientation toward turning laboratory and engineering advances into deployable products.

HCVC fits Tier III because it is a focused early-stage specialist with less institutional scale than the largest deep-tech platforms. Its category purity and experience in hardware commercialization make it a strong inclusion.

imec.xpand

• Headquarters: Leuven, Belgium
• Founded: 2017

Imec.xpand is an independently managed venture fund focused on early-stage nanoelectronics and semiconductor-based innovation. It invests in companies that can benefit from the research expertise, infrastructure, and ecosystem of imec, one of the world’s leading nanoelectronics research centers.

The platform offers a distinctive combination of venture capital, advanced R&D access, extended incubation, and follow-on capacity. Its focus includes semiconductors, photonics, sensing, computing, communications, and health technologies where specialized infrastructure creates a material barrier to entry.

Imec.xpand fits Tier III because its mandate is narrower and closely connected to one research ecosystem. Within that field, however, its technical access and institutional resources make it one of Europe’s most credible semiconductor and nanoelectronics venture platforms.

Prime Movers Lab

• Headquarters: Jackson / San Francisco, United States
• Founded: 2018

Prime Movers Lab invests in breakthrough science and engineering across energy, transportation, infrastructure, manufacturing, agriculture, human health, and related industrial markets. It seeks companies in which scientific advances can unlock entirely new economic capabilities.

The firm is relevant where founders face long technical timelines, physical-world constraints, capital intensity, and uncertain commercialization paths. Its category identity is more closely connected to breakthrough science than to conventional enterprise or consumer software.

Prime Movers Lab fits Tier III because its scale and operating history remain narrower than those of the established category leaders. Its explicit deep-tech mandate and willingness to finance difficult physical technologies support inclusion.

Quantonation

• Headquarters: Paris / Boston, France / United States
• Founded: 2018

Quantonation is a specialist early-stage venture firm dedicated to quantum technologies and deep physics. Its portfolio spans quantum computing hardware and software, communications, sensing, photonics, advanced materials, post-quantum security, and related enabling systems.

The firm’s scientific depth and narrow mandate allow it to evaluate technical opportunities that most generalist investors cannot underwrite independently. It also contributes to ecosystem formation through research networks, specialist advisers, and venture-studio relationships.

Quantonation fits Tier III because quantum remains a specialized and comparatively young venture category. Within that segment, the firm has developed exceptional authority and global reach, making it one of the ranking’s strongest thematic specialists.

Refactor Capital

• Headquarters: San Francisco Bay Area, United States
• Founded: 2016

Refactor Capital is an early-stage firm investing in hard-tech and scientifically ambitious startups. Its interests include biotechnology, robotics, energy, aerospace, advanced materials, computing infrastructure, and other fields where engineering progress can create new categories.

The firm operates with a concentrated, technically oriented model suited to pre-seed and seed companies. Its relevance comes from willingness to engage before commercial proof is visible and from experience across several capital-intensive technical markets.

Refactor Capital fits Tier III because it is smaller and more partner-dependent than the major institutional platforms. Its hard-tech clarity and early-stage focus provide useful specialist depth.

SignalFire

• Headquarters: San Francisco, United States
• Founded: 2013

SignalFire is a technology venture firm known for a data-driven investment and portfolio-support platform. It invests across artificial intelligence, enterprise software, developer tools, cybersecurity, data infrastructure, and automation.

The firm uses proprietary systems and networks to support sourcing, technical recruitment, customer development, and market intelligence. These capabilities are particularly useful in AI, where competition for specialized talent and rapidly changing technical markets can shape company outcomes.

SignalFire fits Tier III because its portfolio is more software-oriented and less scientifically intensive than those of dedicated deep-tech firms. Its AI relevance, institutional scale, and technology-enabled operating platform nonetheless justify inclusion.

Ubiquity Ventures

• Headquarters: Palo Alto, United States
• Founded: 2017

Ubiquity Ventures is a seed-stage firm focused on “software beyond the screen”—companies combining machine intelligence, sensing, smart hardware, developer systems, security, and physical-world interaction.

Its thesis captures an important part of the physical-AI market, where value comes from integrating software with devices, perception, industrial systems, or real-world data. The firm’s concentrated structure provides direct senior engagement during technical and commercial formation.

Ubiquity Ventures fits Tier III because it is a focused seed specialist rather than a broad institutional platform. Its coherent investment identity and relevance to machine intelligence in physical systems make it a credible category participant.

Voima Ventures

• Headquarters: Helsinki / Stockholm, Finland / Sweden
• Founded: 2019

Voima Ventures invests in science-based deep-technology companies across the Nordic and Baltic regions. Its portfolio spans climate, advanced materials, quantum, industrial systems, food, health, energy, and technologies originating from research organizations and universities.

The firm combines venture experience with roots in Finland’s VTT research ecosystem. It invests from spinout and pre-seed stages through Series A and selected later rounds, helping technical teams move from scientific proof toward international markets.

Voima Ventures fits Tier III because it is regionally concentrated and younger than the larger European platforms. Its Nordic research access, focused mandate, and willingness to support very early scientific ventures provide differentiated value.

Vsquared Ventures

• Headquarters: Munich, Germany
• Founded: 2020

Vsquared Ventures is a European deep-tech firm investing in robotics, AI, quantum technologies, space, energy, advanced manufacturing, and frontier science. It focuses on technically ambitious founders building companies from European research and engineering strengths.

The firm helps portfolio companies navigate academic spinouts, intellectual property, public funding, industrial partnerships, and international commercialization. Its presence strengthens the venture infrastructure available to DACH and wider European technical founders.

Vsquared Ventures fits Tier III because its institutional history remains relatively short. Its specialization, developing fund platform, and position within Europe’s deep-tech ecosystem nevertheless make it a strong emerging firm.

Walden Catalyst

• Headquarters: San Francisco, United States
• Founded: 2021

Walden Catalyst is an early-stage venture firm focused on data, deep technology, artificial intelligence, cloud infrastructure, semiconductors, fintech, and digital biology across the United States, Europe, and Israel.

The firm is led by investors with extensive operating and investment experience in semiconductors and global technology markets. That network provides technical companies with access to industry expertise, strategic relationships, manufacturing knowledge, and international commercialization support.

Walden Catalyst fits Tier III because the current institution is comparatively young, despite the long track records of its leadership. Its capital base, semiconductor authority, AI focus, and cross-border reach give it stronger category substance than many similarly aged funds.

Wavemaker Ventures

• Headquarters: Singapore
• Founded: 2012

Wavemaker Ventures is the early-stage investment platform of Wavemaker Partners in Southeast Asia. It specializes in enterprise technology, deep technology, and sustainability, with activity extending into South Asia, Australia, and New Zealand.

The firm combines regional sourcing with support for cross-border commercialization. This is important in Southeast Asia, where technical startups must navigate fragmented jurisdictions, enterprise relationships, manufacturing ecosystems, and international follow-on markets.

Wavemaker Ventures fits Tier III because its mandate includes enterprise software and sustainability beyond strict deep tech. Its long regional history, substantial portfolio, current AI and scientific investments, and institutional platform make it the most credible Southeast Asian inclusion.

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Remarks

AI and deep-tech venture capital now spans several economic systems rather than one homogeneous market. The selected firms include AI-native investors, scientific venture creators, semiconductor specialists, physical-industry platforms, university-commercialization investors, quantum funds, and multi-stage institutions with enduring frontier-technology franchises.

The 2026 environment rewards technical conviction but penalizes undisciplined thematic exposure. Large AI financings can create the appearance of abundant capital while smaller companies still face demanding proof thresholds. Deep-tech founders must demonstrate not only scientific novelty but also manufacturability, regulatory feasibility, customer value, capital strategy, and a credible route through successive technical milestones.

The strongest venture firms combine specialist diligence with practical company-building capacity. They can help founders recruit rare technical talent, access laboratories and compute, form industrial and government partnerships, obtain non-dilutive support, enter international markets, and raise follow-on capital without treating every advanced technology company as if it were conventional software.

Tier classification reflects relative institutional positioning within the AI and deep-tech venture-capital segment. It does not represent investment performance, fund returns, scientific validity, regulatory status of any portfolio company, or an endorsement of any fund, manager, security, technology, or investment strategy.

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Recognition

Inclusion in the Top 30 AI & Deep Tech Venture Capital 2026 ranking is an editorial determination of The Economy Rankings and is independent of licensing, advertising, sponsorship, or other commercial participation.

Ranked organizations may factually refer to their inclusion in the ranking in their own communications. When describing the result, firms should accurately reflect the tier structure and methodology used in the published ranking.

How the ranking should be interpreted

• Tier I represents the Top 5 firms, and the published order within Tier I reflects the ranking order.
• Tier II represents firms ranked within the Top 15, following Tier I. Firms within Tier II are displayed alphabetically; their displayed order should therefore not be interpreted as an individual numerical ranking.
• Tier III represents firms ranked within the Top 30, following Tiers I and II. Firms within Tier III are also displayed alphabetically, and their displayed order should not be interpreted as an individual numerical ranking.
• A firm's tier, rather than its alphabetical position within Tier II or Tier III, should therefore be used when describing its standing.

Referencing the ranking

Depending on the firm's published tier, appropriate factual descriptions may include:

• Tier I: “Ranked Tier I” or “Ranked among the Top 5”
• Tier II: “Ranked Tier II” or “Ranked among the Top 15”
• Tier III: “Ranked Tier III” or “Ranked among the Top 30”

Firms should not describe an alphabetical position within Tier II or Tier III as a specific numerical rank.

Use of The Economy Rankings recognition materials

Editorial inclusion in a ranking does NOT by itself grant permission to use The Economy Rankings badges, seals, logos, official recognition graphics, licensed quotations, or other proprietary recognition materials.

Organizations wishing to use official The Economy Rankings recognition materials in corporate websites, marketing materials, investor communications, client presentations, social media, press releases, or other external communications should refer to the applicable licensing terms and usage policies:

• The Economy Rankings License Structure — available licence levels and permitted recognition uses
  Rankings License Structure | The Economy
• The Economy Rankings License Policy — licensing conditions governing use of The Economy Rankings recognition, marks, and related materials
  The Economy Rankings License Policy | The Economy
• Recognition Use Guide — guidance on permitted wording, presentation, attribution, and use of ranking recognition
  Recognition Use Guide | The Economy

Ranking inclusion remains editorially independent regardless of whether an organization purchases or holds a recognition-materials licence.

Recognized institutions may reference the designation in:

• corporate websites
• investor communications
• marketing materials
• client presentations

Licensing inquiries:
[email protected]