Perspectives

A Q&A with StubHub International CEO Bob Kupbens on how AI can boost a customer-centric experience

If you want to deploy a GenAI powered app or agentic experience, you need to manage not just cost and control but to fine-tune every aspect of quality. To make that work, you need a robust AI inference stack—across training, eval, and production.

Code security has long been one of the thorniest challenges in software development. Today, we’re thrilled to announce our investment in Pixee, a company resetting how code security is handled—by shifting the focus from alerts to resolution.

There’s no single architectural stack for agents, as they have multiple complex components. We see three distinct stacks for agentic AI: a model training stack, an inference stack, and an agentic runtime stack.

As enterprise AI adoption accelerates, MCP provides the identity, permissioning, and policy controls needed to make AI workflows secure, compliant, and scalable—turning models into enterprise-ready agents.

Observations from the 2025 Enterprise Tech 30, on the rise of AI-native applications, agents and fundraising in AI.

We’re excited to partner with Kay AI as they revolutionize insurance workflows by automating repetitive tasks, letting teams focus on what truly matters.

From legacy giants like SAP and Tableau to emerging winners like Omni and Inventive, the next chapter of BI needs speed, governance, and AI-ready analytics.

AI-powered app companies have three key areas of opportunity—vertical/domain-specific software, apps with strong network effects, and certain horizontal software markets—where they can safely create value without facing direct competition from foundation model companies.

As more AI colleagues pop up across roles, we’re witnessing the emergence of the “agentic workforce”—specialized AI agents that slot into specific roles within a functional area or vertical, promising to give organizations more leverage in that area.

The AI-driven product landscape is evolving at breakneck speed, with leading SaaS and AI companies racing to innovate and outpace each other in a rapidly converging market.

The recent emergence of DeepSeek has sparked countless conversations about the future of AI, and the Wing team is no exception. Yesterday, the conversation in the office revolved around this topic dominating the zeitgeist. As our founding partner Peter Wagner started, “Let’s look down the road. What are the implications?”

The implications of AI agents replacing junior-level tasks traditionally performed by entry-level associates are profound and far-reaching. Let's look a bit deeper.

Cyber threats are evolving faster than ever, and organizations need to be both vigilant and similarly adaptive to the changing landscape.

If you’re a startup founder or builder looking to harness AI and build agents in other domains, here are five lessons from coding’s success—each describing how coding benefits, how you can apply it, and an example in various verticals.

Let's look at five key themes for 2025 in AI and technology: rapid reasoning advancements through test-time compute, emergence of practical multimodal AI applications, AI agents functioning as autonomous workers, increased industry consolidation, and a more open IPO window.

Go-to-market (“GTM”) is the lifeblood of every company. As companies scale, it becomes increasingly complex and difficult to reach the right customers with on-brand marketing when they are ready to buy.

The closing of this deal isn't just a culmination of years of hard work; it's the beginning of an exciting new chapter in data security and management.

ServiceTitan, the $772M ARR vertical SaaS leader for the trades industry, files for IPO. With 24% YoY growth, strong retention, and improving margins, it's poised to disrupt the $13B market. However, complex share conversion agreements add intrigue to the IPO timing and valuation.

Software vendors face a pivotal moment as AI capabilities advance, with competing visions of either their decline through democratized development or explosive growth through AI-powered automation.

The perception that AI is expensive is rapidly becoming outdated. Through a combination of technological breakthroughs and market forces, we're entering an era where intelligence could become nearly free to use.

The recent antitrust trial against Google pulled back the curtain on some of the company’s business practices, revealing how they created an insurmountable advantage over Google’s competitors.

The AI industry is at a pivotal moment as open-source models narrow the performance gap with proprietary giants. This shift could reshape how AI is developed, deployed and monetized.

AI is shifting the long-standing seat-based pricing model in SaaS. Discover how forward-thinking companies are innovating their pricing strategies to reflect the true value of AI-enhanced solutions.

Going broad isn't always the path to success. Find out how a focused approach can lead to stronger growth and better product-market fit.

Krishna Rangasayee, founder of SiMa.ai, shares his hard-won insights on building a stellar startup team. Learn how to avoid common pitfalls and hire candidates that will drive your company's success.

From startups to tech giants, a new mantra is emerging: Do more with less. Dive into the forces driving this trend and learn why operational fitness might be the key to keeping your competitive edge.

In Varun Mehta’s Founder Docs, he shares his insights on the importance of getting product-market fit right as early as possible in the startup journey, and what to do when you’re struggling to find it.

Lean startup financial management can be challenging. Vinay Jain, founder of MadMen AI, offers practical tips on expense reviews and strategic hiring that can help you run a lean company right from day one.

There’s a lot more to the "why now" question for any new business than meets the eye. But when startups get it right, they set themselves up for massive success.