Top investors in Machine Learning

Showing 1-50 of 5752 investors

Alumni Ventures

Alumni Ventures is a venture capital firm headquartered in Manchester, New Hampshire, that expands access to venture investing for accredited individuals by co-investing with leading venture capital firms and enabling participation through various structures such as funds, syndicates, and investment clubs. It collaborates with top firms including Andreessen Horowitz, Sequoia, and Y Combinator and supports opportunities across pre-seed to growth stages, across multiple sectors and geographies. The firm emphasizes rigorous due diligence, transparency, and diversification, leveraging a broad network of alumni investors and partners to connect founders with strategic capital and resources. With a global footprint and active involvement in the venture ecosystem, Alumni Ventures aims to broaden participation in venture capital while maintaining disciplined, founder-friendly investing.
Made 361 investments in Machine Learning

Sequoia Capital

Founded in 1972, Sequoia Capital is a venture capital firm based in Menlo Park, California. It provides capital and strategic guidance to a limited number of companies across the idea to growth stages, emphasizing long-term partnerships. The firm invests globally in software, information technology, internet, mobile, TMT, healthcare, financial services, energy, media, and retail sectors, often supporting companies from early formation through scale. Sequoia collaborates with portfolio leadership to help with product development, market expansion, and company building, drawing on deep operating experience and a focus on enduring value creation.
Made 315 investments in Machine Learning

General Catalyst

General Catalyst is a venture capital firm founded in 2000 and headquartered in Cambridge, Massachusetts, with additional offices in North America and Europe. The firm backs companies from seed to growth stages and invests across technology sectors, including software, consumer and enterprise tech, fintech, crypto, healthcare, and AI-related ventures. General Catalyst provides not only capital but strategic guidance to help portfolio companies scale and innovate. Over the years it has managed multiple funds and built a global portfolio of technology businesses, aiming to support resilient growth and transformative technologies.
Made 240 investments in Machine Learning

Khosla Ventures

Khosla Ventures is a California-based venture capital firm founded in 2004 and headquartered in Menlo Park. It provides venture assistance, strategic advice, and capital to entrepreneurs and invests across stages in technology-driven sectors, including artificial intelligence, healthcare, sustainability, digital health, consumer technology, and related deep-tech fields. The firm seeks to back bold ideas with a long-term perspective, often partnering with founders to help scale innovative products and business models. It emphasizes support beyond funding, offering strategic guidance to build companies with durable value and focusing on transformative technologies that address large markets.
Made 268 investments in Machine Learning

Andreessen Horowitz

Andreessen Horowitz is a venture capital firm founded in 2009 and headquartered in Menlo Park, California. It deploys capital across the full startup lifecycle, from seed to growth, and invests in a broad range of sectors including artificial intelligence, healthcare, consumer technology, fintech, cryptocurrency and blockchain, enterprise software, and infrastructure. The firm offers more than funding, providing an operating network that connects portfolio companies with technical advisors, executive talent, and industry operators to support growth and scale. Through its thought leadership and wide industry coverage, Andreessen Horowitz positions itself as a principal investor in technology-driven companies shaping software-enabled markets.
Made 251 investments in Machine Learning

Pioneer Fund

Pioneer Fund is a San Francisco-based venture capital firm that focuses on early-stage investments in startups that originate from Y Combinator. It builds a diverse portfolio across consumer and enterprise technology, including artificial intelligence, machine learning, fintech, life sciences, SaaS, and related sectors, and leverages a network of experienced venture partners and operating partners to support portfolio companies in scaling and growth.
Made 168 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 funds technology startups across seed and early growth stages, often investing alongside other investors, and supports portfolio companies with strategic introductions, mentorship, and access to its operator network. The firm focuses on technology-enabled sectors and seeks long-term partnerships with founders to help scale businesses.
Made 179 investments in Machine Learning

SV Angel

SV Angel is a San Francisco-based venture capital firm that backs seed to early-stage technology startups across the United States. Founded in 1992, the firm emphasizes software-focused and technology-enabled companies, including AI and TMT, and provides more than capital by offering business development, strategic advice, financing, mergers and acquisitions, and introductions through a broad network to help founders navigate fundraising, partnerships, and growth. SV Angel emphasizes long-term partnerships with founders, supporting companies through critical inflection points and helping them scale from early stages toward sustainable expansion.
Made 204 investments in Machine Learning

Kleiner Perkins Caufield & Byers

Kleiner Perkins Caufield & Byers is a U.S.-based venture capital firm founded in 1972 and headquartered in Menlo Park, California. It backs founders across seed, early-stage, and growth stages, investing in software, technology, digital media, life sciences, healthcare, green tech, and related sectors, with a history of supporting companies from inception to IPO and beyond. The firm emphasizes long‑term partnership, combining capital with strategic guidance, executive recruiting and business development introductions to help portfolio companies scale. Its diverse portfolio has included influential technology leaders such as Google, Amazon, Spotify, DoorDash, Figma and Waymo, and its China and other regional units pursue opportunities across global markets. KPCB has launched specialized initiatives and funds to target areas like greentech, digital health and AI-enabled technologies, while maintaining a long-standing focus on building disruptive companies that redefine industries. The company operates through multiple funds and programs, adapting to evolving markets while maintaining a commitment to backing ambitious founders.
Made 130 investments in Machine Learning

New Enterprise Associates

New Enterprise Associates is a global venture capital firm founded in 1977 and headquartered in Menlo Park, California. It provides capital and operational support to technology and healthcare companies across stages from seed to IPO, with investments spanning software, consumer technology, medical devices, life sciences, AI, energy technology, and related sectors. The firm collaborates with founders on product development, market expansion, and navigating evolving markets, offering domain expertise alongside funding. With a long-standing track record of portfolio companies achieving IPOs and strategic acquisitions, NEA maintains a global footprint and active involvement in the United States, Asia and other regions, supporting companies throughout their growth lifecycle.
Made 219 investments in Machine Learning

Index Ventures

Index Ventures is a London-based venture capital firm with a global presence in London, San Francisco, and Geneva, focused on backing technology companies across software, fintech, healthcare, data, AI, and other sectors. Founded in 1996, it provides early-stage and growth-stage capital and strategic guidance, helping portfolio companies with business model validation, scaling, and market expansion. The firm leverages a broad network of industry relationships to connect founders with opportunities and resources, and it offers ongoing advisory support to portfolio teams throughout multiple development stages. Notable funded and scaled companies associated with Index Ventures include Adyen, Deliveroo, Dropbox, Farfetch, King, Slack, and Supercell, illustrating the firm's involvement across global technology leaders.
Made 145 investments in Machine Learning

Menlo Ventures

Menlo Ventures is a California-based venture capital firm founded in 1976 that provides capital across seed to growth stages for consumer, enterprise and life sciences technology companies. The firm emphasizes market-driven analysis and active, hands-on support to portfolio companies, targeting opportunities in innovative markets. Its investments span marketplaces, consumer services, software and SaaS, fintech, cybersecurity and life sciences, with notable holdings such as Uber, Roku, Betterment, Siri, Synthego and Recursion Pharmaceuticals. The portfolio includes more than 70 public companies and 100+ mergers and acquisitions, and the firm manages about $5 billion in assets. It is currently investing through Menlo Ventures XV and Inflection Fund, both around the $500 million mark, to back early-stage and early-growth opportunities. Menlo focuses on disruptive technologies across AI, infrastructure, healthcare and related sectors.
Made 126 investments in Machine Learning

Gaingels

Gaingels is a global venture investment syndicate focused on supporting LGBTQ-founded and led companies and advancing inclusive leadership across stages from early to growth. Founded in 2014 and based in New York, it maintains a portfolio of 130+ companies and about $70 million deployed, and it co-invests with other venture capital partners. Beyond capital, Gaingels assists portfolio firms in recruiting diverse talent for C-suite and board roles and fosters a worldwide community of investors, operators, and entrepreneurs dedicated to positive social change through business.
Made 140 investments in Machine Learning

Lux Capital

Lux Capital is a venture capital firm founded in 2000 with offices in New York City and Silicon Valley. It invests in seed- and early-stage ventures, and in select later-stage opportunities, across science-driven sectors such as artificial intelligence, biotechnology, biochemistry, materials science, electronics, space, infrastructure, and aerospace, including areas like 3D printing, flying and surgical robotics, genomics, satellites, drones, and computational imaging. Lux backs technical founders and research-driven teams, providing capital alongside strategic input on product development, company building, and long-term positioning to translate scientific research into scalable businesses. The firm emphasizes opportunities grounded in underlying science, potential industry impact, and feasibility of execution over extended horizons, with an active approach to helping entrepreneurs build successful, high-growth companies. Lux manages approximately $4 billion in assets focused on seed, early-stage, and growth investments across the physical, material, and life sciences, and its investment team has built more than 20 companies from scratch.
Made 132 investments in Machine Learning

Redpoint Ventures

Redpoint Ventures is an independent venture capital firm founded in 1999 and based in California. It invests in seed, early, and growth-stage technology companies across sectors including internet, software, consumer, fintech, healthcare and infrastructure, and provides strategic support to help portfolio companies with product development and go-to-market initiatives. The firm maintains content initiatives that share market insights and trends. Redpoint pursues a global investment approach with billions of dollars in committed capital and investments across the United States and China. It typically acts as a lead or co-lead investor in portfolio companies and seeks to back firms with scalable, technology-enabled potential.
Made 127 investments in Machine Learning

Entrepreneur First

Entrepreneur First is a London-headquartered accelerator and venture capital firm that identifies individuals with the potential to build technology startups and supports them through cohort-based programs. It helps participants develop ideas, form cofounder teams, validate products, and prepare for venture funding, offering mentorship, workshops, networking with investors, and access to an ecosystem of founders and operators. The organization provides early-stage investment and follow-on funding to launched ventures and operates globally with offices across Europe, Asia, and North America, including locations such as London, Paris, Bangalore, Berlin, Singapore, and New York. EF focuses on technology founders and accelerates the path from individual talent to funded startups.
Made 181 investments in Machine Learning

Bossa Invest

Bossa Invest is a São Paulo-based venture capital investment firm that focuses on software as a service opportunities and provides asset management services to clients. It analyzes market trends to guide investment decisions and serves clients across sectors including finance, technology, and real estate. The firm supports startups with capital, mentorship, and access to a wide ecosystem of investors and strategic partners, and it engages in corporate venture activities that link startups with corporate partners. Headquartered in São Paulo, it is described as a leading Latin American VC with a broad portfolio and ecosystem, having invested in more than 1,500 startups and supported over 100 exits, reflecting an active role in scaling early-stage companies across the region.
Made 229 investments in Machine Learning

SOSV

SOSV is a global venture capital firm focused on deep tech investments that address human and planetary health, backing seed-to-growth startups and delivering hands-on programs that accelerate product development, customer acquisition, and fundraising. It operates accelerator-like facilities for deep tech founders, including IndieBio in San Francisco and New York (referred to as SOSV SF & NY) and HAX in Newark, offering labs, offices, engineering support, mentorship, and broad access to an investor network. With a large and active portfolio across dozens of countries, SOSV supports hundreds of pre-seed and follow-on investments annually from its New Jersey base and through its global network, emphasizing long-term founder support beyond initial funding and fostering collaboration among portfolio companies and investors.
Made 234 investments in Machine Learning

Rebel Fund

Rebel Fund is a venture capital firm based in San Francisco that specializes in early-stage technology investments, with a focus on startups from the Y Combinator ecosystem. Founded in 2019, the firm is led by Y Combinator alumni who have co-founded companies valued at over $100 billion. Rebel Fund employs a proprietary machine learning system called Rebel Theorem 4.0, built on a database of YC startups and founders, to help predict successful investments and guide its portfolio decisions. The firm targets top YC applicants and seeks to back high-potential technology ventures, providing data-driven support to founders through the funding process.
Made 75 investments in Machine Learning

Felicis Ventures

Felicis Ventures is a Menlo Park-based venture capital firm founded in 2006. It backs early-stage technology companies across sectors such as artificial intelligence, cybersecurity, defense, global resilience, energy, health and biotech, as well as consumer internet. The firm emphasizes conviction-driven investments and provides founder development, coaching and strategic guidance in addition to capital. Felicis is known for rapid decision-making and aims to support entrepreneurs from initial meetings to term sheets. Led by founder and president Aydin Senkut, a former Google executive, the firm maintains a global, diverse portfolio, including numerous unicorns. Based in Menlo Park, Felicis focuses on seed-to-Series A opportunities to accelerate growth for early-stage startups.
Made 127 investments in Machine Learning

CRV

CRV is a Palo Alto–based early-stage venture capital firm that traces its roots to 1970 as Charles River Ventures. The firm pursues a hands-on, value-added approach to back seed through Series B technology, consumer, healthcare and enterprise companies across North America. With a long history as one of the industry’s oldest venture firms, CRV emphasizes deep collaboration with founders, mentorship on strategy, product development, customer acquisition and IP protection to help portfolio companies reach growth milestones. It maintains offices in Cambridge, Massachusetts, and Menlo Park, California, and has supported a broad set of startups that have gone on to become category leaders. CRV aims to act as a trusted, long-term partner beyond capital, guiding companies from inception to IPO and beyond.
Made 112 investments in Machine Learning

Right Side Capital Management

Right Side Capital Management is a San Francisco-based venture capital firm that targets early-stage, capital-efficient technology startups. Using a quantitative, data-driven approach, it makes rapid funding decisions for companies that are pre-product-market fit or early in their development, often with small rounds and modest valuations. The firm emphasizes speed and transparency, typically delivering a yes or no decision within weeks, and it seeks to build ultra-diversified portfolios across many portfolio companies. Beyond capital, it provides substantial post-investment mentorship and operational support, including guidance on sales and marketing and other growth functions, leveraging the founders' decades of tech experience and an expansive network. Investments span the United States and Canada, with activity focused on technology-enabled companies across these markets. Since its founding in 2012, Right Side Capital positions itself as funding startups that are underserved by traditional professional investors, operating like an operating company rather than a conventional VC and aiming to help founders accelerate fundraising and scale their ventures.
Made 222 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 130 investments in Machine Learning

Forum Ventures

Forum Ventures is an early-stage venture firm, accelerator, and venture studio focused on B2B software and SaaS. Founded in 2014 as Acceleprise, it supports startups from inception to funding through a founder-first model that blends a venture studio building new ventures, a B2B software accelerator focused on go-to-market and fundraising, and a pre-seed fund. Its Forum For Founders program provides $100,000 in funding and 15 weeks of talks, events, mentorship and 1:1 guidance. The organization maintains a substantial portfolio of B2B SaaS companies and leverages a wide network of investors, corporate partners and mentors to support fundraising and growth.
Made 121 investments in Machine Learning

BoxGroup

BoxGroup is a New York based venture capital firm focused on early-stage technology investing, funding startups from pre-seed to Series A across sectors such as consumer, enterprise software, fintech, healthcare, life sciences, marketplaces, and climate tech. The firm typically writes small to moderate checks, does not take board seats or ownership, and emphasizes supporting ambitious founders at the outset of new markets. It maintains a regional focus on New York City, Silicon Valley, and Los Angeles, reflecting a boutique, founder-friendly approach rather than a broad corporate program. Founded in 2009, BoxGroup operates through a networked model to back disruptive ideas and help startups scale.
Made 81 investments in Machine Learning

Soma Capital

Soma Capital is a venture capital firm founded in 2015 and headquartered in San Francisco. It focuses on early-stage investments, with an emphasis on software and B2B SaaS, as well as fintech, artificial intelligence, clean-tech, frontier-tech, prop-tech, cryptocurrency, health tech, and consumer sectors globally. The firm aims to build close partnerships with founders from day one and supports portfolio companies through growth. Its track record includes seed investments in companies that have achieved substantial valuations, including several unicorns in its portfolio, reflecting a history of identifying high-potential startups.
Made 92 investments in Machine Learning

M12

M12 is Microsoft's corporate venture capital arm, founded in 2016 and headquartered in San Francisco, California. It invests in early- and growth-stage technology companies with focus areas including AI, cloud infrastructure, cybersecurity, developer tools, vertical software-as-a-service, Web3 and gaming, and deep tech. The firm backs seed through B-stage rounds and Series A to C, aiming to accelerate technology innovation by linking portfolio companies with Microsoft’s ecosystem. It offers strategic value through access to customers, technology resources, and potential collaborations, and operates in North America and Israel. Since inception, M12 has backed numerous startups and runs accelerator programs to support later-stage growth, reflecting its approach of aligning with Microsoft to drive scale for its investees.
Made 116 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 City. It provides early-stage and growth funding to startups across sectors including consumer, software, fintech, media, and internet services. The firm emphasizes a founder-friendly, collaborative approach and seeks to back ambitious teams that aim to reshape markets. Its portfolio includes notable companies such as Twitter, Discord, Oculus, Warby Parker, and Tumblr, illustrating a track record of supporting product-driven ventures across stages.
Made 72 investments in Machine Learning

Radical Ventures

Radical Ventures is an early-stage venture capital firm based in Toronto, Canada that invests in entrepreneurs applying deep technology to transform large industries, focusing on artificial intelligence and information technology and backing B2B, financial services, healthcare, fintech, real estate technology, health technology, infrastructure and mobile sectors with global ambition to build enduring companies.
Made 70 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 53 investments in Machine Learning

South Park Commons

South Park Commons is a San Francisco-based community and accelerator for technologists and early-stage founders. It supports idea exploration and the progression from concept to validated venture by offering a six-month residency that provides ideation support without cost or equity, access to a dense network of experienced founders and industry experts, and resources for collaboration and conviction building. The organization operates in San Francisco, New York, and Bengaluru, emphasizing talent curation and practical guidance from partners including Anthropic, OpenAI, and Microsoft. Members' projects have produced notable companies such as Render and Pilot, illustrating its track record in fostering impactful innovation. South Park Commons emphasizes long-term community sustainability and provides opportunities for funding as companies mature, helping founders navigate the journey from initial concept to growth.
Made 72 investments in Machine Learning

Point72 Asset Management

Point72 Asset Management is a privately owned global asset management firm headquartered in Stamford, Connecticut, led by Steven A. Cohen, with affiliated offices in New York, London, Poland, Hong Kong, Tokyo, and Singapore. The firm allocates capital across multiple asset classes and strategies, including discretionary long/short equities, quantitative, macro, and private investments, and it launches and manages hedge funds for clients. It relies on fundamental analysis to inform investments and serves institutional and high-net-worth investors through pooled vehicles and bespoke strategies.
Made 77 investments in Machine Learning

8VC

8VC is a San Francisco based technology investment firm that backs ambitious companies creating lasting economic and societal value by building technology platforms that deliver operational intelligence to complex industries. The firm invests across life sciences, healthcare, AI, financial services, IT infrastructure, logistics, defense, energy, enterprise software and government, and emphasizes a portfolio-support approach to help founders scale transformational technologies with practical operating insights. It pursues industry-wide impact by advancing platform-driven growth and real-world applications that map to business operations. In addition to traditional investments, 8VC runs programs such as the Fellowship and Build to support portfolio companies and create new ventures.
Made 86 investments in Machine Learning

SignalFire

SignalFire is a San Francisco-based venture capital firm founded in 2013 that backs seed and early-stage technology companies. It emphasizes data-driven insights and a tech-enabled approach, leveraging its Beacon AI platform and a distributed network of entrepreneurs, product and engineering leaders to support portfolio companies beyond fundraising. The firm focuses on sectors including artificial intelligence, machine learning, software-as-a-service, cybersecurity, fintech, health tech, and consumer technologies, and provides services such as talent sourcing, competitive intelligence, and go-to-market support, often pairing portfolio founders with engineers, data scientists, product professionals, and advisors. SignalFire operates with a modern, founder-friendly model that aims to accelerate growth through an integrated infrastructure for recruiting, business development, customer acquisition, and community-building. Based in San Francisco, it pursues seed to early-stage investments across North America, seeking to help disruptive startups scale.
Made 71 investments in Machine Learning

IDG Capital

IDG Capital is a global venture capital and private equity firm founded in 1993 and headquartered in Hong Kong. It operates across multiple markets with a broad international footprint and manages investments in technology, consumer, healthcare, and finance sectors, supporting companies through venture, growth, buyouts, and secondary investments. The firm emphasizes long-term value creation by combining global resources with local market insight to help founders scale, pursue geographic expansion, and form strategic partnerships, with a history of cross-border activity and exits in China and beyond.
Made 118 investments in Machine Learning

Tiger Global Management

Tiger Global Management is a global investment firm founded in 2001 by Charles (Chase) Coleman. It manages investments across public and private markets with a technology-focused approach across the United States and international markets. In public markets, it employs long/short and growth strategies, while in private markets it targets early to late‑stage companies across diverse industries. The firm seeks high‑quality, growth‑oriented opportunities and supports portfolio companies throughout their lifecycle. It operates as a registered investment adviser and has a broad global footprint with hundreds of investments worldwide, reflecting its emphasis on research-driven, long‑term partnerships with innovative companies across growth stages.
Made 123 investments in Machine Learning

Speedinvest

Speedinvest is a European venture capital firm headquartered in Vienna, founded in 2011. It backs early to growth-stage technology companies across Europe and beyond, with sector-focused teams active in AI and infrastructure, climate tech, fintech and DeFi, health and bio, industrial tech, marketplaces, consumer software, SaaS, and related infrastructure. The firm combines capital with hands-on support, often leading initial investments and participating in follow-on rounds to help portfolio companies scale quickly. It operates from six offices across Europe and North America, leveraging a global network of corporate customers, experts, and top-tier investors to accelerate growth. Notable portfolio companies include Bitpanda, Moove, Tide, GoStudent, Wayflyer, Seqera Labs, and Cylib, reflecting a track record of backing ambitious founders. Speedinvest emphasizes long-term conviction, collaborative value creation, and practical operational guidance to build lasting companies.
Made 71 investments in Machine Learning

Greylock Partners

Greylock Partners is a venture capital firm founded in 1965 and based in Menlo Park, California. It invests across seed to growth stages in consumer and enterprise software, including cloud/SaaS, data analytics, security, and related information technology sectors. The firm supports portfolio companies with active involvement, often taking board seats, and has a global investment footprint across the United States and international markets.
Made 112 investments in Machine Learning

Baidu Ventures

Baidu Ventures is the independent venture capital arm of Baidu, established in 2017. It focuses on early-stage investments in artificial intelligence and frontier technologies, funding AI-driven opportunities across areas such as AIGC, embodied intelligence, autonomous driving, advanced computing, and life sciences. The firm aims to accelerate emerging technologies into real-world impact and to build ecosystems in robotics, AI infrastructure for AIGC, and city-scale autonomous driving applications. It operates from Beijing and San Francisco and manages approximately $500 million across multiple funds, supporting entrepreneurs shaping the next generation of AI and related industries.
Made 66 investments in Machine Learning

Mayfield

Mayfield Fund is a Menlo Park based venture capital firm founded in 1969. It invests in early-stage and growth-stage technology companies across information technology, artificial intelligence, enterprise software, consumer technology and semiconductors, providing long-term capital and strategic guidance to founders. The firm supports product strategy, scaling operations and market expansion and has backed more than 500 companies, resulting in approximately 117 IPOs and more than 200 mergers or acquisitions. With over $2.5 billion under management and a global reach, Mayfield backs cross-border opportunities while maintaining a strong presence in California, including operations in India. Since inception, it focuses on helping entrepreneurs grow and achieve scale.
Made 71 investments in Machine Learning

Pear VC

Pear VC is a California-based venture capital firm founded in 2013 by Pejman Nozad and Mar Hershenson. It concentrates on early-stage investments, primarily pre-seed and seed rounds, across technology sectors including artificial intelligence, software as a service, enterprise technology, healthcare, fintech, climate technology, biotechnology, and consumer markets. The firm supports portfolio companies beyond capital by offering help with talent recruitment, go-to-market strategy, fundraising, and other resources drawn from its network and experience. It positions itself as a hands-on partner, providing playbooks, coaching, and introductions to investors, and fostering a community through initiatives like Pear Garage and founder circles. Pear has backed numerous startups in their early rounds, aiming to help exceptional founders build enduring companies by combining selective investment with operational support.
Made 91 investments in Machine Learning

Madrona Venture Group

Madrona Venture Group is a Seattle-based venture capital firm founded in 1995 that backs seed through growth-stage technology and consumer companies. It invests in information technology, software, digital media and advertising, data analytics, cloud computing, artificial intelligence and machine learning, fintech, hardware and robotics, and developer tools, with a geographic focus on the Pacific Northwest and the West Coast. The firm often acts as lead investor, takes board seats, and provides active, long-term support to portfolio companies through multiple rounds, typically investing between $2 million and $10 million.
Made 113 investments in Machine Learning

FJ Labs

FJ Labs is a New York-based venture capital firm founded in 2015 by Fabrice Grinda. It specializes in marketplaces and consumer-facing startups and is stage-agnostic, making seed to Series A investments with typical checks ranging from 50,000 to 5,000,000. The firm backs founders pursuing network effects and scalable models across consumer internet, e-commerce, fintech, and related sectors, aiming to support transformative growth. Its portfolio includes companies such as Alibaba Group, Beepi, BrightRoll, Betterment, Adore Me, and Earnest, reflecting a broad approach to marketplaces and consumer ventures. FJ Labs emphasizes passion, execution, and tenacity in founders and actively seeks new opportunities to back impactful businesses.
Made 91 investments in Machine Learning

Battery Ventures

Battery Ventures is a technology-focused private equity and venture capital firm based in Boston, Massachusetts. Founded in 1983, the firm invests in technology companies across sectors such as application software, IT infrastructure, consumer internet and mobile services, industrial technologies, and life science tools. It pursues growth equity and buyout opportunities, supporting portfolio companies through periods of scale and transformation. Battery Ventures emphasizes partnering with founders and management teams, offering expertise in talent acquisition, business development, marketing, and growth strategy to accelerate long-term value creation.
Made 112 investments in Machine Learning

Alchemist Accelerator

Alchemist Accelerator is a seed-stage enterprise accelerator that supports B2B startups through a six-month program offering mentorship and seed funding. It targets technically skilled founders building enterprise-focused solutions and aims to accelerate traction, fundraising, and go-to-market capabilities. The program typically provides seed funding in the range of $36,000 to $40,000 in notes. Backers include Cisco Systems, Draper Fisher Jurvetson, Khosla Ventures, SAP Ventures, GE, next47, US Venture Partners, and other corporate and venture investors. Based in San Francisco, California, Alchemist connects founders with mentors and a broad venture ecosystem to help scale to commercialization.
Made 148 investments in Machine Learning

Global Brain

Global Brain is a Tokyo-based independent venture capital firm founded in 1998 that invests in technology companies worldwide from seed to pre-IPO stages. It focuses on sectors such as advertising, agritech, foodtech, AI, blockchain, climate tech, cloud software-as-a-service, commerce, and cybersecurity, and provides hands-on support and resources to portfolio companies. The firm operates an accelerator program called GB Xlimit for pre-Series A startups and collaborates with corporate venture funds and large corporations to back strategic investments. With a global portfolio and a track record of exits through mergers and acquisitions and initial public offerings, Global Brain manages flagship funds and maintains a broad network of operating and investment partners to foster new industry creation.
Made 92 investments in Machine Learning

European Innovation Council

The European Innovation Council is a European Commission initiative that supports Europe’s deep-tech innovators, researchers, and startups. It funds breakthrough research and technology transfer projects, and delivers equity-like investments through the EIC Fund, as well as prizes and acceleration services to help teams scale. The council also co-invests with private investors in early-stage ventures and places emphasis on high-impact technologies with ESG relevance. Established in 2018 and headquartered in Brussels, it concentrates on deep-tech sectors including defence and dual-use technologies, while promoting international collaboration and market access for awardees. It aims to strengthen Europe’s innovation ecosystem by sharing data, hosting events, publishing insights, and fostering partnerships that accelerate the journey from lab to market.
Made 110 investments in Machine Learning

Greycroft

Greycroft is a venture capital firm that concentrates on technology start-ups and investments in the internet and mobile markets. With offices in New York and Los Angeles, Greycroft leverages its media and technology industry networks to help entrepreneurs gain visibility, forge strategic relationships, bring products to market, and build successful businesses. The firm manages over $1 billion and has made more than 200 investments in companies including Acorns, Venmo, HuffPost, Scopely, Shipt, Thrive Market, Boxed, and The RealReal. Greycroft has also adopted a diversity term sheet rider.
Made 102 investments in Machine Learning

Linear Capital

Linear Capital is a Shanghai-based venture capital firm founded in 2014 that specializes in data intelligence, data infrastructure and frontier technology, including artificial intelligence, robotics and related applications. It typically backs early-stage rounds from angel to Series A and provides operational support in areas such as hiring, customer acquisition and strategic planning. The firm has backed numerous technology startups globally and maintains a portfolio across AI hardware, software and applied data intelligence projects, with notable investments in Horizon Robotics and Rokid.
Made 59 investments in Machine Learning

MiraclePlus

MiraclePlus is a Beijing-based accelerator founded in 2018 that supports early-stage startups across information technology and SaaS through an intensive three-month program. The accelerator provides mentorship from industry leaders, tailored resources, and investor access to help teams achieve product-market fit, culminating in a Demo Day where founders present to thousands of investors. It typically offers about 300,000 USD in exchange for 7% equity and leverages a broad founder community for ongoing support. MiraclePlus operates across 38 technology fields and attracts thousands of applications annually, building a large alumni network of over a thousand successful founders.
Made 50 investments in Machine Learning