NEA is one of the oldest and largest global venture firms, investing across technology and healthcare from idea to IPO. Its partners run a thesis-driven, sector-specialist coverage model and currently center their technology bets on vertical AI, AI-native infrastructure, consumer AI, and 'fintech's next chapter.' NEA's core conviction is that as AI commoditizes raw intelligence, defensibility shifts to specialization: a proprietary, domain-biased data corpus, deep workflow integration, and orchestration of AI agents inside a vertical. As they put it, 'intelligence becomes commoditized; context becomes the currency,' and the durable winners will 'subvert and own the system of record in the long run.'
A concretely sized problem in a specific industry — where today's workflows are still manual, fragmented and costly — that AI can collapse into a single automated system. NEA wants founders who understand the problem 'through the eyes of front-line' operators.
“Compliance analysts still spend hours manually pulling data from disconnected systems, reviewing documents, mapping ownership structures” — How spektr is Building the Compliance Infrastructure Layer for the AI Era
“Banks paid a record-breaking $19.3B in penalties in 2024 alone” — Philip Chopin / Hunter Worland
“Consider the average sales representative, who spends six hours a week updating their CRM (we feel for them!).” — Tiffany Luck / James Kaplan
A step-change (10x) product for the hardest, unstructured-data tasks in a vertical, delivered as a solution customers actually buy — not an AI demo. NEA wants AI-native orchestration that collapses disconnected workflows into one system.
“10x better product for tasks that require processing unstructured data: Phone/audio, email, documents, designs, video, and more.” — Tomorrow's Titans: Vertical AI
“Nail industry-specific GTM: Customers buy solutions, not AI.” — Tiffany Luck / James Kaplan
“AI has the power to fundamentally change this equation, to bring the data together and collapse disparate workflows into a single, automated system-of-record” — Philip Chopin / Hunter Worland
Size the opportunity against the labor budget being automated rather than the legacy software line item; in fintech, tie demand to the size of the economy.
“By tapping into the $11T U.S. labor spend — far exceeding the approximately $450B enterprise software market — these companies can unlock unprecedented growth.” — Tomorrow's Titans: Vertical AI
“fintech demand is tied more to GDP than to enterprise budgets” — Hunter Worland / Rick Yang / Philip Chopin
Concrete, measurable customer ROI that proves the product is mission-critical — time saved, cost-per-unit cut, real usage — not vanity metrics.
“One unicorn customer reduced ODD handling time from 40 minutes to 6 minutes per case, cut cost per case from €21 to €2.25” — How spektr is Building the Compliance Infrastructure Layer for the AI Era
“Startups need to achieve mission-criticality before incumbents adopt AI.” — Tiffany Luck / James Kaplan
Founders who are both a deep industry insider and technical, with an operator's view of the problem 'through the eyes of front-line' staff; NEA backs teams it can partner with through cycles.
“Founders who are both an industry insider and technical” — Tomorrow's Titans: Vertical AI
“The team has an insider perspective of what compliance entails through the eyes of front-line analysts, product and operations leads, chief compliance officers, and procurement teams” — Philip Chopin / Hunter Worland
“When challenges do emerge, our inclination is to roll up our sleeves and help, rather than be critical. And we usually come out together in a better place than where we started.” — Scott Sandell
A wedge-and-expand model that lands the customer with an AI capability and integrates with existing systems at first, with a long-run path to becoming and owning the system of record.
“Use AI-powered wedges to land the customer: Voice agents, semantic document search, content generation are the most common AI-powered wedges.” — Tomorrow's Titans: Vertical AI
“Ability to subvert and own the system of record in the long run” — Tiffany Luck / James Kaplan
A real moat as intelligence commoditizes: a proprietary, domain-biased data corpus built as the product runs, deep workflow embedding, and agent orchestration — not raw model performance.
“In the AI era, defensibility is likely to emerge from specialization and orchestration of AI agents, lending itself to verticalized solutions.” — Tomorrow's Titans: Vertical AI
“Gathered data: Vertical applications that have a role as the data is gathered build a data moat, which is the playbook companies like Prepared and Abridge are following with audio transcription agents.” — Tiffany Luck / James Kaplan
“Intelligence becomes commoditized; context becomes the currency.” — Hunter Worland
“durable wedges are domain-specific data that no one else can assemble, workflows embedded so deep in a customer's operations that ripping them out would cost more than keeping them” — Thomas Joshi / Madison Faulkner / Lila Tretikov / Andrew Schoen
A clear market-readiness story: a confluence of technology, behavior or cost shifts that makes this the moment, especially AI collapsing the cost of core functions.
“A confluence of factors that makes it the right time right now to build a vertical AI disruptor.” — Tomorrow's Titans: Vertical AI
“AI...fundamentally compresses the costliest components like personalization, reasoning, compliance at near-zero marginal cost” — Hunter Worland / Rick Yang / Philip Chopin
“if AI agents process data before it ever reaches these systems...the incumbents risk losing their advantage tied to data ownership” — Tiffany Luck / James Kaplan
A clear plan to deploy capital toward becoming mission-critical and owning the system of record before incumbents react; NEA leads from seed through venture growth and supports founders at every stage.
“Startups need to achieve mission-criticality before incumbents adopt AI.” — Tomorrow's Titans: Vertical AI
“we look forward to supporting founders at every stage with both the capital and the cycle-tested expertise NEA has always brought to bear in tough times” — Scott Sandell
“The next titans of software will be vertical AI companies in specialized industries.”
“Intelligence becomes commoditized; context becomes the currency.”
“When challenges do emerge, our inclination is to roll up our sleeves and help, rather than be critical. And we usually come out together in a better place than where we started.”
“As technology transforms every industry globally, we see an expanding opportunity set at both the early and growth stages that our team is exceptionally well-positioned to execute on given our deep domain expertise across core sectors of innovation including software, infrastructure, fintech, next-generation web technologies and artificial intelligence.”