a16z 07月23日 23:46
How Enterprise AI Startups Are Rewriting the Benchmarks (July 2025 Enterprise Newsletter)New
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人工智能已成为企业战略的重中之重,OpenAI表示全球10%的系统在使用其产品,许多财富500强公司已将AI整合列为CEO级别的优先事项。然而,AI公司的运作方式与传统SaaS业务存在显著差异,许多SaaS的成功经验并不适用于AI领域。本文基于与创始人的一系列对话,提炼出企业AI创业公司在适应、增长和突破方面的关键洞察,探讨了AI公司与传统SaaS的异同、产品商品化的预期以及如何构建具有持久价值的公司。这些见解有助于理解当前企业AI市场的动态和发展方向。

💡 AI已成为企业战略核心,但AI公司的行为模式与传统SaaS不同,现有SaaS领域的通用成功法则可能不完全适用。理解AI行业的独特性是关键,这要求企业重新审视和调整其AI战略和运营方式,以适应快速变化的市场和技术环境。

🚀 面对产品商品化和构建持久价值的挑战,企业AI创业公司需要深入理解AI技术的演进和市场需求。这包括持续创新,找到差异化优势,并关注如何将AI技术转化为可扩展、可持续的商业模式,以应对日益激烈的竞争,避免被同质化。

🤝 与分析师建立良好关系至关重要,他们可以是强大的盟友,也可能成为潜在的阻碍。早期投入分析师关系管理,有助于塑造买家认知,并在企业交易中获得优势。这强调了在企业级销售中,外部专业意见和行业影响力的重要性。

💰 AI正在颠覆SaaS定价模式,迫使企业重新思考传统的SaaS商业模式。AI技术提升了软件的价值主张,这要求企业在定价策略上进行创新,以更好地反映AI带来的额外价值,并确保商业模式的可持续性。

🛠️ 数据标注和专家评估是AI发展中被低估的关键环节。从早期的监督学习到复杂的强化学习循环,数据标注和评估的演进对AI模型的性能至关重要,是AI技术得以不断优化的基石。

5 Insights for Building in Enterprise AI

Kimberly Tan, Joe Schmidt, Marc Andrusko, Olivia Moore

AI has become a strategic priority for virtually every enterprise: OpenAI claims 10% of the world’s systems now use their products, and many Fortune 500 companies have adopted CEO-led mandates to integrate AI.

However, AI companies behave differently from traditional SaaS businesses — much of the common wisdom about what worked for SaaS doesn’t seem to hold true. When we meet with founders, they consistently have questions around what great AI companies look like, where to expect product commoditization, and how to build a company with enduring value. Based on those conversations, we’ve synthesized some overarching takeaways around how enterprise AI startups are adapting, growing, and breaking out today.

Read more >>

Kimberly Tan is an investing partner at Andreessen Horowitz, where she focuses on SaaS and AI investments.

Joe Schmidt is a partner at Andreessen Horowitz, where he focuses on software, fintech, and insurtech investments.

Marc Andrusko is a partner at Andreessen Horowitz, where he focuses on B2B AI applications and fintech.

Olivia Moore is a partner on the consumer investing team at Andreessen Horowitz, where she focuses on AI. 

More from a16z: Top Articles and Podcasts

Aaron Levie on AI’s Enterprise Adoption

Box’s cofounder and CEO unpacks how enterprise AI adoption differs from the consumer wave, why incumbents may be better positioned than people think, and how the role of the individual contributor is shifting from executor to orchestrator.

AI, Data Engineering, and the Modern Data Stack

dbt Labs founder and CEO Tristan Handy explores the next chapter of data engineering — from the rise (and plateau) of the modern data stack to the growing role of AI in analytics and data engineering. The interesting question here, he argues, is human-in-the-loop versus human-not-in-the-loop.

Why You Should Engage With Analysts

Analysts can either be powerful allies or quiet blockers. Putting effort into analyst relations early on can pay dividends in shaping buyer perception and clinching enterprise deals.

AI Is Upending SaaS Pricing

Metronome’s CEO explains how AI is fundamentally changing the value proposition of software — and why that shift demands a rethink of the traditional SaaS business model.

AI’s Unsung Hero: Data Labeling and Expert Evals

Labelbox CEO Manu Sharma joins a16z Infra partner Matt Bornstein to discuss the evolution of data labeling and evaluation in AI, from early supervised learning to today’s sophisticated reinforcement learning loops.

Inside a Billion Dollar Company Using AI to Supercharge Marketing and Sales

Vanta’s VP of Growth breaks down what real innovation with AI looks like in go-to-market teams today. Moving past hype, she and a16z partner Seema Amble discuss the tools, workflows, and feedback loops that are actually moving the needle.

How AI Will Impact Emergency Response

The CEO and cofounder of Prepared, an AI emergency response platform, reveals how AI is transforming public safety — starting with 911 call centers.

Enabling Agents and Battling Bots on an AI-Centric Web

Arcjet CEO David Mytton discusses the increasing complexity of managing who can access websites and other web apps. One challenge: determining whether automated traffic is coming from bad actors and bots — or whether it’s AI agents trying to buy a product on behalf of a real customer.

Recent Investment News

Thinking Machines Lab

We’re backing the world-class team behind virtually every major recent AI research and product breakthrough: RL (PPO, TRPO, GAE), reasoning, multimodal, Character, and, of course, ChatGPT.

Cluely

An AI-powered desktop assistant that delivers real-time support during everyday moments — whether meetings, customer support calls, project brainstorming sessions, or collaborative tasks.

Decagon

Announcing a $131 million Series C to deliver a concierge customer experience.

OpenRouter

A grid operator for LLMs that handles failover, load balancing, and routing so developers can focus on building. Additionally, the platform gives users a single API to access hundreds of LLMs. 

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