Investors in Machine Learning

Showing 1-50 out of 5757 matches

Alumni Ventures

Alumni Ventures is a venture capital firm based in Manchester, New Hampshire, with offices in New York, Boston, Menlo Park, Chicago, London, and Tokyo. It enables accredited investors, especially alumni networks, to access diversified venture opportunities by co-investing alongside leading venture capital firms. Through funds, syndicates, and investing clubs, it sources opportunities across stages and geographies, conducts rigorous due diligence, and aims for transparent, founder-friendly support. The firm backs a diversified portfolio of startups, including more than 1,600 companies, and has attracted substantial committed capital and a large community of individual investors, underscoring its mission to democratize access to venture capital while partnering with established VC firms.
Made 349 investments in Machine Learning

Sequoia Capital

Sequoia Capital is a venture capital firm founded in 1972 and based in Menlo Park, California. It provides capital and strategic guidance to seed, early, and growth-stage technology companies, focusing on software, information technology, internet, and related sectors. The firm operates globally, with investments and activity across the United States, China, India, Israel, and other markets through a network of regional partners. Sequoia Capital emphasizes selective, long-term partnerships, working closely with portfolio companies to assist with product development, business building, and market expansion to support durable growth.
Made 301 investments in Machine Learning

General Catalyst

General Catalyst is a venture capital firm that funds early-stage and growth companies across sectors including consumer, enterprise software, fintech, crypto, and healthcare. Based in San Francisco with offices in Cambridge, Massachusetts and other locations, it provides capital and strategic guidance to help entrepreneurs build scalable, durable businesses. The firm emphasizes the use of technology, including artificial intelligence, to accelerate growth and drive meaningful impact. General Catalyst partners with management teams to support product development, go-to-market strategies, and organizational growth, aiming to back companies with potential for wide adoption and long-term value creation, rather than focusing solely on near-term exits.
Made 234 investments in Machine Learning

Khosla Ventures

Khosla Ventures is a California-based venture capital firm founded in 2004 that provides capital and strategic support to technology-driven startups across early- to late-stage cycles. It pursues opportunities in AI, digital health, healthcare technologies, sustainability, fintech, consumer and enterprise technology, and other frontier areas, focusing on innovative business models and world-class teams. The firm emphasizes a contrarian, long-term approach and seeks to help entrepreneurs address meaningful societal and economic challenges through science, technology, and design.
Made 256 investments in Machine Learning

Andreessen Horowitz

Andreessen Horowitz is a Menlo Park, California-based venture capital firm founded in 2009 by Marc Andreessen and Ben Horowitz. It funds technology startups across seed to late stages, with investments spanning software, cloud infrastructure, enterprise software and services, consumer internet, fintech, artificial intelligence, crypto, infrastructure, and biotechnology at the intersection of computer science and life sciences. The firm emphasizes supporting portfolio companies through growth and strategic partnerships and maintains a broad tech-focused investment approach, aiming to add value beyond capital.
Made 244 investments in Machine Learning

Pioneer Fund

Pioneer Fund is a venture capital firm based in San Francisco, founded in 2017. It concentrates on investing in startups, with a focus on those arising from Y Combinator, and leverages an extensive network of alumni and seasoned venture partners to inform investment decisions and provide ongoing operational support to portfolio companies. The firm pursues opportunities across a broad range of sectors, including consumer products and services, financial technology, information technology, artificial intelligence and machine learning, education technology, healthcare, real estate technology, ridesharing, and software-as-a-service, aiming to help innovative startups scale and succeed.
Made 167 investments in Machine Learning

Liquid 2 Ventures

Liquid 2 Ventures is a San Francisco-based venture capital firm founded in 2015 by Joe Montana, Mike Miller, and Michael Ma. It provides seed- and early-stage capital to technology startups, occasionally supporting later rounds such as Series B, and often invests alongside co-investors. The firm emphasizes strategic introductions and hands-on guidance to help portfolio companies scale, with a focus on software, TMT, and other technology sectors. By partnering with founders and other investors, Liquid 2 Ventures aims to align capital with long-term company growth.
Made 179 investments in Machine Learning

SV Angel

SV Angel is a San Francisco-based venture capital firm established in 1992 that concentrates on seed to early-stage technology investments, notably in software and AI, primarily in the United States. The firm emphasizes long-term partnerships with founders and provides strategic support, business development, financing and M&A advice, leveraging its extensive network to offer introductions and resources beyond capital. Its portfolio includes OpenAI, Databricks, Eventbrite, Cedar and Vercel, illustrating a track record of backing transformative technology companies and helping them grow.
Made 202 investments in Machine Learning

Kleiner Perkins

Kleiner Perkins is an American venture capital firm founded in 1972 and based in Menlo Park, California. It specializes in early-stage, growth, and incubation investments, partnering with founders from inception to IPO and beyond. The firm backs entrepreneurs across a broad range of sectors, including technology, digital media, life sciences, healthcare, consumer products and services, software, cybersecurity, and infrastructure, providing strategic guidance and networks to help companies scale and create long-term value.
Made 126 investments in Machine Learning

Gaingels

Gaingels is a venture investment syndicate focused on supporting LGBTQ founders and inclusive leadership by investing across stages and partnering with other venture firms to back diverse, high-potential companies. It maintains a global portfolio of 130+ companies and has deployed tens of millions in capital to date. The organization actively helps portfolio companies identify and recruit diverse talent for C-suite and board roles and cultivates a worldwide network of investors, operators, and entrepreneurs who share a commitment to positive social change through business.
Made 127 investments in Machine Learning

Menlo Ventures

Menlo Ventures is a San Francisco-based venture capital firm founded in 1976 that provides capital for multi-stage consumer, enterprise and life sciences technology companies. The firm uses market-driven analysis to identify opportunities and has backed a diverse portfolio across consumer, software, fintech, cybersecurity, AI, infrastructure, hardware and biotech, including notable investments such as Uber, Rover, Poshmark, Tumblr, Betterment, Roku, Siri, Synthego and Recursion Pharmaceuticals. Menlo Ventures has funded more than 70 public companies and completed over 100 mergers and acquisitions, and it manages more than $5 billion in capital across multiple funds that target early to growth-stage opportunities. The firm emphasizes active involvement in portfolio companies and pursues disruptive, AI-enabled innovation across sectors in the United States, with a focus on software, cloud infrastructure, healthcare, and related technologies.
Made 119 investments in Machine Learning

New Enterprise Associates

New Enterprise Associates is a United States-based venture capital firm founded in 1977 and headquartered in Menlo Park, California. It invests in technology and healthcare companies across multiple stages, from seed to growth and IPO, and provides strategic support in product development and market expansion. The firm targets sectors including software, AI, consumer technology, digital health, life sciences, and energy technology, and pursues opportunities worldwide. NEA emphasizes long-term partnerships with founders, drawing on domain expertise and a broad network to help portfolio companies scale. It maintains a diverse portfolio across the United States, Asia and other regions, reflecting a global approach to venture investing.
Made 209 investments in Machine Learning

Entrepreneur First

Entrepreneur First is a London-based accelerator and early-stage venture capital firm that identifies and supports individuals with technical startup ideas, helping them form founding teams and develop concepts into fundable ventures. Through structured programs and cohorts, it provides idea validation, mentorship, access to potential cofounders, workspace, and guidance on fundraising, connecting participants with investors. It operates globally with offices in multiple cities and runs seed funding programs, taking an equity stake in participating startups. The organization focuses on technology-centric founders across Europe, Asia, and North America, aiming to accelerate the transition from initial idea to a funded venture.
Made 180 investments in Machine Learning

Lux Capital

Lux Capital is a venture capital firm focused on investing in companies at the intersection of science, technology, and industry. The firm backs ventures applying research across sectors including artificial intelligence, biotechnology, advanced materials, space, and energy, with an emphasis on translating complex innovations into scalable businesses. Lux provides capital together with strategic input on product development, company building, and long-term positioning, and takes an active role to help founders navigate technical and market challenges. The firm evaluates opportunities based on the underlying science, potential industry impact, and feasibility of execution over extended horizons. With offices in New York and Silicon Valley, Lux collaborates with technical founders, researchers, and teams to build durable market leaders and accelerate scientific breakthroughs into real-world applications.
Made 127 investments in Machine Learning

Index Ventures

Index Ventures is a venture capital firm headquartered in London with offices in San Francisco and Geneva. It partners with technology entrepreneurs across software, AI, fintech, healthcare, data, media, mobility and related sectors to provide early and growth-stage capital and strategic guidance. The firm supports portfolio companies through all development stages, including sourcing opportunities, due diligence, structuring financing, and ongoing advisory interactions, leveraging a global network of industry connections to help founders scale, enter new markets, attract customers and partners. Notable portfolio companies include Adyen, Deliveroo, Dropbox, Farfetch, King, Slack and Supercell. Index Ventures emphasizes backing exceptional teams with ambitious ideas and provides resources to help them execute growth plans, product development, and market expansion globally.
Made 134 investments in Machine Learning

Redpoint Ventures

Redpoint Ventures is a venture capital firm founded in 1999 and based in Woodside, California. It funds seed, early, and growth-stage technology companies across software, internet, cloud, consumer, fintech, healthcare, and infrastructure, with investments spanning the United States and China through Redpoint China Ventures. The firm manages multiple funds and supports portfolio companies with capital, strategic guidance, and go-to-market assistance to accelerate product development, scaling, and market adoption. Redpoint maintains ecosystem content and thought leadership to inform its network of founders and investors, and operates as an independent registered investment adviser focused on technology-enabled businesses.
Made 123 investments in Machine Learning

SOSV

SOSV is a global venture capital firm that provides early-stage and seed investments alongside structured accelerator programs and deeply resourced facilities to accelerate product development. Focused on deep tech, human and planetary health, and cross-border software, SOSV backs startups from pre-seed onward and runs programs that accelerate technical development, regulatory strategy, and fundraising. The firm maintains labs and engineering spaces with specialist staff in multiple regions, including the United States and Asia, to support portfolio companies in biosafety, chemistry, mechatronics, analytics, and electrical engineering. Programs such as HAX and other live events offer founders access to prototyping, testing, and investor networks. Annually, SOSV makes around sixty pre-seed investments (up to roughly $550k each) and participates in numerous follow-on rounds, leveraging a global portfolio and extensive co-investor network to help deeply technical startups scale and reach markets.
Made 233 investments in Machine Learning

Bossa Invest

Bossa Invest is a venture capital firm based in São Paulo, Brazil, founded in 2011. It focuses on software-as-a-service startups in Latin America, providing growth capital, mentorship, and access to a broad network of strategic partners and co-investors to help portfolio companies scale, and operates a corporate venture capital arm that collaborates with corporate partners through flexible operating models and end-to-end support.
Made 225 investments in Machine Learning

CRV

CRV, founded in 1970 as Charles River Ventures, is a Palo Alto and Cambridge-based venture capital firm focused on seed to Series B technology, consumer, and healthcare companies in North America. The firm takes a hands-on, value-added approach, partnering with founders beyond capital to guide product, strategy and growth through the early stages and beyond. With offices in Cambridge, MA and Menlo Park, CA, CRV supports portfolio companies from initial concept to scale, and has backed notable startups such as DoorDash, Mercury and Vercel, illustrating a long history as one of the industry’s oldest venture firms.
Made 107 investments in Machine Learning

Right Side Capital Management

Right Side Capital Management is a San Francisco-based venture capital firm founded in 2012 that targets early-stage, capital-efficient technology startups in the United States and Canada. The firm employs a data-driven, quantitative approach to investment decisions and aims for rapid yes-or-no conclusions, often within two weeks. Typical rounds encompass small checks in the low hundreds of thousands, with the potential for larger commitments in exceptional cases, and a portfolio-wide strategy that emphasizes diversification. Beyond capital, it provides hands-on mentorship in areas such as sales, marketing, and fundraising, leveraging a network of investors and seasoned operators to support portfolio companies after investment. The firm focuses on teams still refining product-market fit, including those outside traditional tech hubs, and seeks to help founders scale efficiently through structured operational support and transparent decision processes.
Made 219 investments in Machine Learning

Felicis Ventures

Felicis Ventures is a Menlo Park, California-based venture capital firm founded in 2006 by Aydin Senkut that concentrates on early-stage investments in software, information technology and frontier technologies. The firm backs bold founders seeking to build market-defining companies and often leads or co-leads investments, while providing mentoring and advisory support beyond capital. Its portfolio spans AI, cybersecurity, health, energy and consumer internet, including unicorns such as Shopify, Canva and Notion, and represents 23 nationalities with investments in six countries outside the United States. Felicis emphasizes speed in deal-making, frequently completing term sheets within 24 hours.
Made 123 investments in Machine Learning

Forum Ventures

Forum Ventures is a founder-first venture studio, accelerator, and early-stage seed fund that supports B2B software startups. Founded in 2014 as Acceleprise, it focuses on helping founders from concept to market and funding through hands-on studio involvement, a 15-week pre-seed program with structured mentorship and funding, and a seed fund that backs startups at the seed stage. The organization operates a community and network to facilitate go-to-market strategies, fundraising, and partnerships, drawing on a portfolio of over 250 companies and connections with leading venture firms. It emphasizes founder welfare and practical support across product development, customer discovery, and fundraising, aiming to simplify the B2B SaaS journey for early-stage founders.
Made 119 investments in Machine Learning

Rebel Fund

Rebel Fund is a seed-stage venture capital firm based in San Francisco that concentrates on technology startups, with a focus on opportunities from Y Combinator. It leverages a network of YC alumni and a proprietary machine learning model, Rebel Theorem 4.0, to screen and validate investments and to identify promising early-stage companies pre-Demo Day. The firm targets top-tier YC startups to build a diversified portfolio that benefits from YC’s track record of high-value outcomes. Leadership includes Jared Heyman as Managing Partner, Justin Hilliard as Principal, Luis Fortuño as Managing Director, and Alexandra Espinal in Portfolio Development. Rebel Fund maintains a data-driven approach through a comprehensive YC startups and founders database to inform investment decisions and generate insights about batches and outcomes.
Made 66 investments in Machine Learning

South Park Commons

South Park Commons is a residency program and community that accelerates founders and technologists from initial concepts to scalable ventures. It provides a six-month residency at no cost and no equity, fostering ideation and conviction-building through a dense network of peers, forums, industry talks, and collaborative opportunities. It also offers funding for ventures ready to scale, ranging from one million to ten million dollars. The organization maintains a portfolio of notable companies born within its ecosystem, including Render, Pilot, and Unit21. It operates in San Francisco, New York, and Bengaluru, providing resources and support to help early-stage founders navigate product development, fundraising, and go-to-market strategies within a technology-focused landscape.
Made 71 investments in Machine Learning

Speedinvest

Speedinvest is a European venture capital firm founded in 2011 and based in Vienna that backs technology-driven companies from seed to growth across Europe. With sector-focused teams, it invests in areas including AI and infrastructure, climate tech, deep tech, fintech and DeFi, health and bio, marketplaces and consumer, SaaS, and industrial tech, providing capital along with strategic guidance and access to a global network of corporate customers, experts, and follow-on investors to help portfolio companies scale smarter and faster. The firm emphasizes a long-term, collaborative approach and supports founders beyond initial funding through multiple funding rounds, leveraging its broad European footprint and international network to accelerate growth.
Made 71 investments in Machine Learning

M12

M12 is the corporate venture capital arm of Microsoft, established in 2016 and headquartered in San Francisco. It invests in seed through B-stage and Series A through C technology startups, with emphasis on cloud infrastructure, artificial intelligence, cybersecurity, developer tools, vertical software-as-a-service, Web3, and gaming, supporting early-stage and growth-stage companies. By leveraging its connection to Microsoft, M12 provides portfolio companies with access to customers, technical resources, and enterprise-scale opportunities. The portfolio includes Inworld, an AI and gaming startup, among others such as Evisort. The firm operates globally with activity in North America, Israel, Europe and Asia and has run an accelerator program to support selected ventures.
Made 115 investments in Machine Learning

Soma Capital

Soma Capital is a San Francisco-based venture capital firm founded in 2015 that backs early-stage software companies. It pursues investments in areas including B2B software as a service, artificial intelligence, fintech, and other technology-driven sectors, with a portfolio that has grown to include high-profile unicorns and companies valued in the billions. The firm has backed notable AI and technology firms such as OpenAI, Anthropic, and Databricks, and emphasizes close relationships with founders from the outset to accelerate growth and disruption. Through its early-stage approach, Soma Capital supports entrepreneurs building scalable platforms and innovative solutions across multiple industries, aiming to advance transformative technology and human progress.
Made 86 investments in Machine Learning

BoxGroup

BoxGroup, founded in 2009, is a New York-based venture capital firm that backs early-stage technology startups, typically at pre-seed to Series A, across sectors including consumer, enterprise software, fintech, healthcare, life sciences, SaaS, marketplaces, e-commerce, climate tech, and frontier technologies. The firm emphasizes supporting solo founders and bold ideas, evaluating teams with conviction and aiming to fund ventures at the start of emerging markets. Investment sizes vary from tens of thousands to around a million dollars, with a global outlook and a stated focus on New York City, Silicon Valley, and Los Angeles, though geography is not a constraint. BoxGroup operates as a boutique investor in the early stages of portfolio companies, often engaging without taking board seats.
Made 77 investments in Machine Learning

Spark Capital

Spark Capital is a venture capital firm founded in 2005 with offices in San Francisco, Boston, and New York. It invests in early-stage and growth companies across a wide range of sectors, including consumer, software, media, fintech, education technology, and internet services, supporting founders who pursue ambitious ideas and seek product-led strategies. The firm is known for backing prominent companies such as Twitter, Discord, Oculus, Warby Parker, Tumblr, Niantic, and others, reflecting a willingness to back disruptive teams and markets. Spark Capital emphasizes a founder-centric approach, prioritizing listening, product-market fit, independence of thought, and resilience, and aims to help portfolio companies scale on their own terms. By partnering across stages and geographies, the firm seeks to build enduring, value-driving businesses in the United States and beyond.
Made 70 investments in Machine Learning

Greylock Partners

Greylock Partners is a venture capital firm founded in 1965 and headquartered in Menlo Park, California. The firm invests across all stages—from seed to growth—in consumer and enterprise software and related information technology. It backs startups that define new markets and often takes board seats to help portfolio companies scale. While predominantly active in the United States, Greylock also pursues opportunities in Europe, Israel, India, and China. The firm maintains offices in San Francisco and Wellesley and supports companies across the software, cloud/SaaS, data analytics, security, and fintech spaces, among others.
Made 111 investments in Machine Learning

First Round Capital

First Round Capital is a San Francisco-based venture capital firm focused on pre-seed, seed, and early-stage investments in technology, healthcare, and consumer sectors. It aims to build a community of technology entrepreneurs and provides founder-focused services to help companies grow from inception, including hands-on involvement and networking opportunities. The firm has offices in San Francisco and New York and typically makes initial investments around $500,000, with a track record of helping portfolio companies raise follow-on capital and advance to later rounds. Notable portfolio companies include Uber, Square, and Warby Parker.
Made 121 investments in Machine Learning

Point72

Point72 is a global asset management company led by Steven A. Cohen, headquartered in Stamford, Connecticut, with affiliated offices in New York and other major financial centers. The firm manages discretionary and systematic investment strategies across asset classes, including public equities, fixed income, macro, and private investments, and launches and manages hedge funds for clients. Point72 operates Point72 Ventures, its venture capital arm, which invests in fintech, artificial intelligence and machine learning, and enterprise technology across early- and growth-stage companies. Through its dual platform, Point72 combines traditional asset management with a technology-driven approach, applying fundamental and quantitative analysis to inform decisions and supporting portfolio companies from seed to pre-IPO stages. The organization emphasizes expertise, global reach, and a disciplined approach to value creation.
Made 73 investments in Machine Learning

Baidu Ventures

Baidu Ventures is the venture capital arm of Baidu, based in Beijing with an office in San Francisco. Established by Baidu in 2017 as an independent fund, it focuses on early-stage investments in AI-centered technologies, including artificial intelligence, life sciences, robotics, big data, and related tech sectors, with emphasis on AI-driven applications such as autonomous driving and embodied intelligence. The firm backs startups developing next-generation technologies and scalable platforms that leverage AI, pursuing opportunities across Asia and global markets.
Made 65 investments in Machine Learning

FJ Labs

FJ Labs is a New York-based venture capital firm that focuses on marketplaces and consumer-facing startups. It is stage-agnostic, backing seed and Series A rounds, with an investment range of fifty thousand to five million dollars. Founded in 2015 by Fabrice Grinda, the firm leverages its network and experience in the marketplace sector to support founders aiming for rapid growth. The firm maintains a broad portfolio across e-commerce, on-demand services, fintech, and related technologies, with notable investments in Alibaba, Coupang, Delivery Hero, Beepi, BrightRoll, Betterment, Adore Me, and Earnest. FJ Labs emphasizes partnerships with visionary founders and uses its sector expertise to help portfolio companies scale and achieve expansion.
Made 88 investments in Machine Learning

Tiger Global Management

Tiger Global Management is an investment firm founded in 2001 by Charles (Chase) Coleman that manages capital across public and private markets worldwide. The firm focuses on technology, internet, consumer, and financial services sectors, pursuing high-quality growth opportunities through both public equity and private investments. It maintains a research-driven, long-term approach and acts as a registered investment adviser, building partnerships with innovative companies across multiple regions and growth stages.
Made 121 investments in Machine Learning

Alchemist Accelerator

Alchemist Accelerator is a seed-stage enterprise-focused startup accelerator founded in 2012 and based in California. It runs a six-month program that selects technically strong founding teams and provides mentorship, structured coaching, fundraising support, and seed investment of tens of thousands of dollars in exchange for notes. Backers include Cisco Systems, Draper Fisher Jurvetson, Khosla Ventures, SAP Ventures and US Venture Partners, offering access to a broad mentor network and corporate partners. The program concentrates on business-to-business software and hardware aimed at enterprise customers, helping startups accelerate product development, customer traction, and fundraising.
Made 143 investments in Machine Learning

Innoangel Fund

Innoangel Fund is a Beijing-based venture capital firm founded in 2013 that backs early-stage companies, typically at seed to pre-Series A rounds, across sectors including artificial intelligence, robotics, consumer, entertainment, information technology, healthcare and financial technology.
Made 50 investments in Machine Learning

Madrona Venture Group

Madrona Venture Group is a Seattle-based venture capital firm founded in 1995 that backs technology companies from seed to growth, with a focus on the Pacific Northwest and the United States. The firm invests in information technology including consumer Internet, software and services, digital media and advertising, cloud and infrastructure, mobile and wireless, data analytics, and hardware and robotics, as well as artificial intelligence and machine learning, fintech, and enterprise applications. It commonly takes lead roles in investments and often joins portfolio companies' boards to provide strategic and operational guidance. Madrona emphasizes long-term partnerships with founders and aims to help ambitious teams scale by leveraging its deep technical and market insights and local ecosystem experience.
Made 112 investments in Machine Learning

Greycroft

Greycroft is a venture capital firm that concentrates on technology startups and investments in the Internet and mobile markets. With offices in New York and Los Angeles, Greycroft leverages a wide network of media and technology industry connections to help entrepreneurs gain visibility, build strategic relationships, bring products to market, and grow successful businesses. The firm manages more than $1 billion in assets and has completed over 200 investments in companies such as Acorns, Venmo, Huffington Post, Boxed, Braintree, Scopely, Shipt, Thrive Market, Maker Studios, and The RealReal. Greycroft focuses on partnering with founders to accelerate growth and scale product-driven businesses.
Made 99 investments in Machine Learning

Mayfield

Mayfield Fund is a California-based venture capital firm founded in 1969 and headquartered in Menlo Park. It invests in technology companies across early and growth stages, offering long-term capital and strategic guidance to founders. The firm focuses on information technology, enterprise software, artificial intelligence, consumer technology, semiconductors, and related sectors, with global investments in the United States and cross-border opportunities in Europe, India, and China. Mayfield supports portfolio companies from concept through development, assisting with product strategy, scaling operations, and market expansion. Since its founding, Mayfield has backed hundreds of companies and achieved numerous exits, including IPOs and mergers and acquisitions. The firm emphasizes a people-first approach and collaborates closely with entrepreneurs to build market-leading businesses.
Made 69 investments in Machine Learning

Radical Ventures

Radical Ventures is an early-stage venture capital firm based in Toronto, with offices in London and Palo Alto. It backs entrepreneurs who apply deep technology to transform large industries, with a primary focus on artificial intelligence. The firm pursues global ambitions and aims to build enduring companies across information technology, healthcare, financial services, fintech, real estate technology, health tech, infrastructure, and mobile sectors, primarily in North America. It engages with the AI community and supports thought leadership through events and insights, reflecting a commitment to advancing AI-driven innovation.
Made 66 investments in Machine Learning

Village Global

Village Global is a San Francisco-based early-stage venture capital firm and accelerator founded in 2017. It funds technology startups at pre-seed and seed stages across sectors such as fintech, healthcare technology, software, artificial intelligence, information technology and mobile, typically investing in the lower to mid seven figures. Beyond capital, it provides a broad network of over 400 founders, operator angels and luminary LPs, offering founder retreats, peer dinners, masterclasses and access to an investor database. The firm emphasizes hands-on support for portfolio companies, including help with co-founder formation, fundraising, strategic introductions and mentorship, to help startups grow and navigate early-stage challenges through its ecosystem.
Made 88 investments in Machine Learning

8VC

8VC is a San Francisco-based technology and life sciences investment firm that partners with founders to develop transformational technologies and create long-term economic and societal value. It invests across sectors including healthcare and life sciences, energy, IT infrastructure, enterprise software, logistics, government and defense, manufacturing, consumer products, and financial services, with a focus on opportunities that leverage data-driven decision making. The firm supports portfolio companies through programs such as the 8VC Fellowship and 8VC Build and aims to back ventures where existing solutions do not meet market needs. 8VC manages a family of venture funds, including Entrepreneurs Fund II and III and multiple Fund I–III vehicles, reflecting a broad platform designed to accelerate growth and industry transformation.
Made 83 investments in Machine Learning

Pear VC

Pear VC is a California-based venture capital firm founded in 2013 in San Francisco that concentrates on pre-seed and seed-stage technology investments. The firm provides comprehensive support to its portfolio companies, including in-house recruiting, talent acquisition, go-to-market strategy, fundraising assistance, and PR and marketing programs, with tailored founder-focused playbooks and investor introductions. Pear emphasizes long-term partnerships with founders and seeks to build strong networks through initiatives such as Pear Garage. Its investment scope covers artificial intelligence, software as a service, enterprise technology, healthcare, biotechnology, climate technology, fintech, and consumer sectors, among others. Historically, Pear has seeded notable startups early, highlighting its role in helping exceptional founders shape the future of technology.
Made 87 investments in Machine Learning

MiraclePlus

MiraclePlus is an accelerator based in Beijing, China, founded in 2018, that invests in and accelerates early-stage information technology and SaaS startups. It provides investment, mentorship, and a collaborative community to help startups achieve product-market fit and scale, culminating in Demo Day to present to investors. Since its inception, MiraclePlus has launched 10 batches and supported over 612 startups, with about 90 billion yuan in funding and more than 21,600 hours of office hours. The program typically provides around $300,000 in exchange for 7% equity and offers guidance from experienced mentors, including Dr. Lu Qi, alongside a network of over 1,000 founders and industry experts across 38 technology fields, while handling roughly 10,000 applications per year. The accelerator aims to guide startups to successful fundraising via Demo Day and to cultivate a broad community of alumni and partners.
Made 49 investments in Machine Learning

SignalFire

SignalFire is a San Francisco-based venture capital firm that backs seed- and early-stage technology companies. The firm emphasizes a data-driven approach, leveraging its Beacon AI Platform to track talent and market insights and to provide portfolio support in hiring, go-to-market, and fundraising. SignalFire differentiates itself with a technology-first model and a distributed network that connects portfolio companies with leading entrepreneurs, product and engineering talent across key disciplines and industries. The firm invests across sectors including healthtech, cybersecurity, fintech, consumer, and enterprise software, and supports portfolio companies with in-house AI/ML tools, talent search, and mentorship to accelerate growth. Founded in 2013, SignalFire positions itself as a modern VC that aims to supplement capital with deep operator-centric resources, helping founders navigate talent, strategy, and partnerships.
Made 65 investments in Machine Learning

Battery Ventures

Battery Ventures is a global technology investment firm founded in 1983 and based in Boston. It provides growth equity and venture capital to technology companies across sectors including application software, infrastructure software, consumer, industrial technology, and life science tools, investing in early through late stages and supporting buyouts. The firm operates internationally with offices in multiple locations and emphasizes a team-based, thesis-driven approach and close relationships with company leadership. Over its history, Battery Ventures has backed more than 450 companies, reflecting a focus on technology-driven growth and long-term partnerships.
Made 110 investments in Machine Learning

Founders Fund

Founders Fund is a San Francisco-based venture capital firm that invests in science and technology companies across all stages, with a focus on transformational technologies and long-term impact. It backs startups addressing difficult problems in sectors such as aerospace, artificial intelligence, energy, information technology, software, advanced manufacturing and defense-related tech, and it emphasizes a founder-friendly approach that provides support with minimal interference. The firm has backed prominent companies including SpaceX, Palantir, Facebook and Airbnb, reflecting a history of early backing for high-growth ventures. Founders Fund seeks global opportunities and partners with entrepreneurs to navigate rapid technological change, from seed to growth investments.
Made 107 investments in Machine Learning

Foundation Capital

Foundation Capital is a Palo Alto-based venture capital firm founded in 1995 that makes venture investments across stages and sectors, including software, fintech, consumer technology, data infrastructure, energy tech, and AI. It focuses on supporting founders from early stages and often acts as lead investor, taking board seats and building long-term relationships. The firm has backed notable companies such as LendingClub, Netflix, and Sunrun, and has led or participated in numerous IPOs and strategic exits across consumer, software, digital energy, and financial technology spaces.
Made 112 investments in Machine Learning

Inovia Capital

Inovia Capital is a Montreal-based venture capital firm that partners with tech founders to build globally ambitious companies. It provides capital, coaching, and access to a broad network across Canada, the United States, and Europe, and supports startups from early to growth stages with expertise across software, SaaS, AI, digital health, security, and related tech sectors.
Made 70 investments in Machine Learning