Bessemer raises $5.75 billion for investments across the AI stack
Bessemer Venture Partners has raised $5.75 billion across two new funds aimed at expanding its investments across the artificial intelligence stack. The venture capital firm allocated $1.75 billion to seed and early-stage investing, with the remaining $4 billion reserved for growth-stage startups.
The announcement positions Bessemer for further investment in AI companies working on compute, infrastructure, foundation models, developer tools, application-layer products and agentic technology. The firm said it has invested in more than 260 AI-native companies since 2022 and has deployed $3 billion in AI-related startups to date.
Capital split between early and growth stages
The fund structure gives Bessemer dedicated capital for companies at very different points in their development. The $1.75 billion early-stage pool is intended for seed and emerging businesses, while the $4 billion growth allocation targets startups that have moved beyond their initial formation and require larger financing rounds.
Bessemer has been a prominent investor through the SaaS era, including investments in Box, DocuSign and Gainsight. Its portfolio also includes Anthropic, Cognition, Legora, Perplexity, Ramp, Shopify and Waymo.
AI investment broadens beyond applications
The firm’s stated focus extends beyond end-user AI software. It identifies compute and infrastructure alongside foundation models, developer tooling, application-layer startups and agentic technology as areas receiving AI-related investment. That framing reflects the range of companies needed to build, operate and commercialize AI products.
“AI-native companies are scaling faster than any category of technology we’ve backed before,” Bessemer Partner Byron Deeter said in the firm’s funding announcement. Deeter also told Bloomberg that venture firms need larger pools of capital as companies remain private for longer, which he described as a permanent structural shift.
What the new funds mean for businesses
For businesses evaluating AI vendors or seeking venture funding, the announcement underlines that capital is being organized around both early product creation and later-stage expansion. Teams should match their financing plans and technology requirements to their stage of development, while buyers should examine whether a prospective AI supplier has the infrastructure, product maturity and staying power required for a longer private-company lifecycle.