Key Takeaways
- • Wing Venture Capital released its eighth annual Enterprise Tech 30 (ET30) list for 2026, selecting 60 companies from more than 15,000 venture-backed enterprise tech companies in consideration.
- • The 2026 theme is agents moving from demo to production, with AI agents now doing real work in legal, accounting, insurance, IT, and customer support, according to Wing founding partner Peter Wagner.
- • Mid- and late-stage companies are concentrated in vertical agents embedded in regulated workflows, while open source appears at every stage at a higher rate than prior years.
- • The list was shaped by 98 venture capitalists across 85 firms with a collective $2.6 trillion in AUM, ranging from seed-stage firms to buyout funds and hedge funds with venture practices.
- • Late- and Giga-stage valuations and round sizes have expanded, with companies raising larger rounds faster and with less time between them.
Summary
Wing Venture Capital, an early-stage investor focused on data and AI for business, announced the eighth annual Enterprise Tech 30 list in partnership with Eric Newcomer of Newcomer Media. The list ranks the most promising private enterprise technology companies across all stages of maturity. From more than 15,000 venture-backed enterprise tech companies considered, 60 were selected through a two-phase process and segmented into four stages by total capital raised.
The selection process drew on 98 venture capitalists across 85 firms, with a collective $2.6 trillion in assets under management. Participants ranged from solo capitalists and seed-stage firms to buyout funds and hedge funds with venture capital practices.
Peter Wagner, founding partner at Wing and creator of the ET30, said the theme for 2026 is agents moving from demo to production. He noted that agents are now deployed across legal, accounting, insurance, IT, and customer support, and that enterprises are concentrating AI investment in companies delivering results in production rather than experimentation.
The research identified several trends. Early-stage companies are building the agentic toolbox, including orchestration, sandboxing, evaluations, and tool-calling primitives. Voice AI is reaching an enterprise inflection point, moving from analysis tools such as Gong to APIs such as ElevenLabs and purpose-built voice agents in narrow use cases; Wing cited ElevenLabs' $11 billion valuation as a sign of momentum. Mid- and late-stage companies cluster around vertical agents embedded in regulated workflows. AI-native business services that sell outcomes against incumbent service firms are gaining momentum but are not yet well represented, with Crosby as the lone 2026 example. Open source is becoming a default distribution model for AI infrastructure and developer tools. Fewer cybersecurity companies made the list than in prior years, which Wing expects to change as attention on agentic AI risk grows.
Wing also noted that late- and Giga-stage valuations and round sizes have expanded. Full methodology and results are available at wing.vc/et30. Wing, founded in 2013, invests in Seed and Series A financings and counts Snowflake, Cohesity, Deepgram, and Gong among its portfolio companies.
The selection process drew on 98 venture capitalists across 85 firms, with a collective $2.6 trillion in assets under management. Participants ranged from solo capitalists and seed-stage firms to buyout funds and hedge funds with venture capital practices.
Peter Wagner, founding partner at Wing and creator of the ET30, said the theme for 2026 is agents moving from demo to production. He noted that agents are now deployed across legal, accounting, insurance, IT, and customer support, and that enterprises are concentrating AI investment in companies delivering results in production rather than experimentation.
The research identified several trends. Early-stage companies are building the agentic toolbox, including orchestration, sandboxing, evaluations, and tool-calling primitives. Voice AI is reaching an enterprise inflection point, moving from analysis tools such as Gong to APIs such as ElevenLabs and purpose-built voice agents in narrow use cases; Wing cited ElevenLabs' $11 billion valuation as a sign of momentum. Mid- and late-stage companies cluster around vertical agents embedded in regulated workflows. AI-native business services that sell outcomes against incumbent service firms are gaining momentum but are not yet well represented, with Crosby as the lone 2026 example. Open source is becoming a default distribution model for AI infrastructure and developer tools. Fewer cybersecurity companies made the list than in prior years, which Wing expects to change as attention on agentic AI risk grows.
Wing also noted that late- and Giga-stage valuations and round sizes have expanded. Full methodology and results are available at wing.vc/et30. Wing, founded in 2013, invests in Seed and Series A financings and counts Snowflake, Cohesity, Deepgram, and Gong among its portfolio companies.
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