Vertical agent companies dominate mid and late stages, voice AI reaches enterprise inflection point, and open source emerges as a dominant distribution strategy

SAN FRANCISCO: The eighth annual Enterprise Tech 30, a list of the most promising private companies across the enterprise technology spectrum, was announced today by Wing Venture Capital in partnership with Eric Newcomer of Newcomer Media. Wing, an early stage investor and long-term company builder in data and AI for business, continues its tradition of curating this definitive industry list spanning enterprise companies at all stages of maturity.

This list and accompanying research are the product of a two-phase process to distill a stack-ranked list of the top venture-backed enterprise tech companies and uncover key insights and trends driving the market. Of the more than 15,000 venture-backed enterprise tech companies in consideration, 60 companies have been selected as the enterprise tech leaders, segmented by “stage” as determined by an institutional research process.

This year, 98 venture capitalists across 85 firms participated in the ET30 list selection process. The group ranged from solo capitalists and seed-stage firms to buyout funds and hedge funds with venture capital practices. The VC participants have a collective $2.6 trillion in assets under management (AUM).

Below is the Enterprise Tech 30 for 2026, categorized into four stages by total capital raised:

“The theme for 2026 is agents moving from demo to production,” said Peter Wagner, founding partner at Wing Venture Capital and creator of the ET30. “Last year, we saw the rise of agentic applications. This year, those agents are being deployed and doing real work across legal, accounting, insurance, IT, and customer support. Enterprises are moving past experimentation and concentrating their AI investments around the companies delivering in production.”

The research process for uncovering the Enterprise Tech 30 also uncovered insights about the state of enterprise tech, including:

• Early stage companies are focused on the agentic toolbox, building orchestration, sandboxing, evals, and tool-calling primitives. The stack is still early.
• Voice AI is reaching an enterprise inflection point, evolving from analysis (Gong) to APIs (ElevenLabs) to purpose-built voice agents in narrow enterprise use cases. ElevenLabs’ $11 billion valuation signals momentum in the category.
• Mid- and late-stage companies are concentrated around vertical agents, with domain-specific AI embedded in regulated workflows like legal, accounting, insurance, and cybersecurity.
• AI-native business services (i.e., companies that sell outcomes and compete head-on with incumbent service firms) are gaining momentum but are not yet visible in ET30 data. Crosby is the lone 2026 representative, but the category is one to watch.
• Open source appears across every stage at a higher rate than prior years and is becoming a default distribution model for AI infrastructure and developer tools.
• The Giga tier represents infrastructure, while the Late tier reflects agents as the product, pointing to a shift in how the market is structured.
• Fewer cybersecurity companies made the list this year than in years past, but we expect this to change as more attention is paid to agentic AI risk moving forward.
• Late- and Giga-stage valuations and round sizes have expanded; companies are raising larger rounds, faster, with less time between them.

For more information on the research methodology, additional insights, and to view the results, visit: www.wing.vc/et30.

About Wing Venture Capital

Founded in 2013, Wing works with ambitious founders to enable the AI-first transformation of business. We invest early, before it’s obvious, leading Seed and Series A financings and engaging deeply with our signature company-building skills and resources. The current Wing portfolio includes some of today’s most important enterprise technology companies such as Snowflake, Cohesity, Deepgram, and Gong. For more information, visit: www.wing.vc.

Fonte: Business Wire