Trucks Venture Capital
Investing in startups building technologies to transform the future of transportation and automotive innovation.
- Other
- AI / ML
Browse 579 venture capital firms that invest in AI & Machine Learning startups at the Series A stage. Every firm is verified — explore their thesis, check size, and portfolio, then get matched with the best-fit investors for your startup.
Investing in startups building technologies to transform the future of transportation and automotive innovation.
The Two Sigma Ventures business spun out as Deviation Capital, which says it backs technical founders using data and computing to build companies, primarily at Seed and Series A.
Early-stage firm focused on B2B software with a community-driven platform for hiring, GTM, and follow-on fundraising.
Thesis-driven venture capital. Investing at the intersection of emerging networks and public benefit.
Focuses exclusively on HRTech and Future of Work, investing in solutions revolutionizing workforce management and recruitment for elite talent.
Focuses on accelerating urban technologies in PropTech and AI by funding scalable B2B platforms enhancing city infrastructure.
Healthcare-focused VC fund investing in digital health and technology-enabled healthcare services companies at the seed stage. This is a niche regional specialist with an operationally relevant thesis...
Biotools-focused fund backing companies that power modern biotech—from next-generation research tools to data and AI automation platforms, with a core focus on life-science tools and diagnostics.
A regional and sector-specialized fund investing in the future of heavy industries, logistics, and data science infrastructure using AI/ML.
Vector Capital invests in established technology businesses, partnering with management teams on transformational investments. Its strategies include buyouts, carve-outs, recapitalizations, growth equ...
Veda Ventures focuses on investing in technology that modernizes the consumer goods sector, bringing efficiency to marketing and sales processes.
Invests in hardware innovations that redefine security and facilitate seamless integration into existing technologies.
Backing AI-first productivity tools and SaaS platforms built for high-performing growth teams.
Focuses on scalable fintech solutions including compliance automation, decentralized identity management, and anti-money laundering (AML) technologies.
Investing in infrastructure software for regulated industries in Brazil and broader Latin America.
Longstanding Indian early-stage firm with enterprise and technology exposure. A fit when the startup presents as infrastructure software for operators rather than a consumer logistics app.
Latin America-focused venture investor with sector emphasis that includes foodtech, agritech, and retail technology. The firm appears to support companies digitizing commerce and food systems.
VentureLab exclusively invests in foundational enterprise SaaS businesses that leverage AI/ML for scale and explainability.
Invests in B2B service platforms and HRTech innovations that streamline business operations and talent acquisition.
Verve Ventures backs science- and technology-driven startups across Europe, from seed to Series A/B, with a focus on deep tech sectors including energy & resources, health & bio, industrial innovation...
Early-stage European venture fund investing in technology companies across deep tech and industry-oriented categories.
A broad investment firm that led the funding of ReSpo.Vision, indicating it can back AI and computer-vision sports technologies. It may be more opportunistic than specialist, but the category match is...
Early-stage venture platform investing across software and AI with creator-economy exposure, including companies that benefit from global product and distribution opportunities.
A micro-VC focused on gaming, immersive entertainment, interactive media, creator ecosystems, simulation technologies, and emerging digital experiences. The firm backs founders building engagement lay...
Showing 529–552 of 579 firms — page 23 of 25.