V+ 在每月與被投團隊的例行交流，以及對外的商務拜訪中，常聽創辦人介紹自己的產品。技術背景的團隊多半從做了什麼講起，這個模組能處理哪些事，那個功能剛上線，再試著把功能連到客戶身上。業務出身的創辦人則常反過來，先談客戶卡在哪裡，產品放在後段帶過。 兩種介紹方式差在思考的起點。一種從手上已有的東西出發，一種從客戶想要的東西出發，公司推進的節奏與承擔的風險也跟著不同。

In VENTURE+’s monthly meetings with startups and in our business visits with corporates and partners, we have been watching two sides of the same change. On the startup side, pitch decks have become visibly more polished, demos smoother, and pitches more complete: AI has upgraded every team’s storefront. On the enterprise side, however, the room has not warmed up accordingly: decisions are no faster, the door is no easier to open, and some founders feel it has become harder t

For the past 30 years, software companies have been benchmarking themselves against "IT spending." Global IT spending sits at roughly 1% of GDP—about $5 trillion. Every SaaS valuation model, TAM slide, and market analysis is built on this denominator. When investors see a deck claim "our TAM is $30B" or "we target X% of the IT budget," they automatically anchor to this framework. But vertical AI is rewriting one thing: what should actually be displaced is not the "software bu

You use AI to improve output. Others use AI to reshape how decisions are made. With the same tools and the same subscription cost, the difference in output between two founders after a year can be so large that it makes you question whether they are even operating on the same level of AI capability. At VENTURE+, after observing how startups have adopted AI over the past two years, we have identified a clear dividing line: the founders who use AI most effectively are not neces

There used to be a type of startup called a "slide deck company." A polished deck. A market that sounded enormous. A founding team from the right universities. That was enough. Money came in, valuations went up, and the story kept going. Capital cost almost nothing. Investor FOMO was the strongest force in the market. That era is over. 1. The Q1 2026 Numbers Tell a Brutal Story Global startup funding broke all records in the first quarter of 2026, approaching $300 billion. On

Staying in close, daily contact with SaaS companies is part of what VENTURE+ does. Over the past year, we have repeatedly heard a common signal in these conversations: engineers that used to be nearly impossible to hire are now becoming available. Not because the market has deteriorated, but because demand itself is shifting. More and more companies are finding that when someone leaves, the position doesn't need to be refilled. It's not deliberate layoffs. AI tools have taken

Do your customers stay because they like using your product — or because they can’t leave? The difference between these two answers can determine your company’s future. In 2026, as AI technology rapidly advances, a harsh reality is becoming clear: features are no longer a moat. A startup that once needed two years to build a core feature set may now see it replicated in six weeks — or even less with AI-assisted development.Through VENTURE+’s observation of SaaS companies acro

In the era of AI agents, the question startups focus on is shifting from “How many people have you hired?” to “How high is your digital labor density (AI Density)?

Imagine this: AI can instantly curate personalized product bundles for your VIP customers. It can predict which clients are at risk of churn three months in advance and automatically trigger retention campaigns. It can help your team uncover business insights in minutes—insights that used to take weeks to discover.

The wave of artificial intelligence (AI) is sweeping across the world at an astonishing speed. From generative AI powering content creation to predictive analytics driving business decisions, the disruptive impact of AI is everywhere. For many companies, embracing AI is no longer a choice, but a mandatory step crucial to survival and growth. Yet, one reality often overlooked is this: the foundation of AI transformation lies in solid digital transformation.

Although VENTURE+ has just turned three years old and may look like a newborn in the venture capital world, our core team is far from being rookies. We have accumulated over 50 years of practical investment experience, with a combined total of nearly 150 years of cross-industry expertise. Simply put, we are a young brand with seasoned souls.

As the AI wave continues to reshape the landscape of software development and product design, a new term has begun to surface—Vibe Coding. It blends intuition, tools, and inspiration to help creators turn ideas into products faster than ever before. But amid this revolution, some fundamentals remain unchanged.