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Keeping Up with the Delivery Rocketship Part II: Opportunities in Warehouse Automation

In Part I, we discussed how the exponential growth in eCommerce leads to an increase in cost of fulfillment and shipping as a percentage of net sales, driven by rising wage and consumer expectation. Worker wages in fulfilment centers sit at $17 an hour, almost two and a half times more than minimum wage. ConsumersContinue reading “Keeping Up with the Delivery Rocketship Part II: Opportunities in Warehouse Automation”

The $400 Billion Market Part III: Opportunities in Construction Analytics

In our previous posts in this series, we established a case for construction technology due to severe labor shortages, and discussed two primary challenges as market fragmentation and complex market structure. We then looked into a number of automation-related opportunities involving site preparation and foundation phases of the construction process, focusing on construction surveying andContinue reading “The $400 Billion Market Part III: Opportunities in Construction Analytics”

The $400 Billion Market Part II: Opportunities in Construction Automation

In Part I, we explained that the construction industry is experiencing heightened demand primarily from the residential and infrastructure segment, an aging workforce that is retiring, and the challenge to attract younger generations. These factors lead cumulatively to a severe labor shortage and rising labor wages that are constricting an industry historically operating at aContinue reading “The $400 Billion Market Part II: Opportunities in Construction Automation”

The $400 Billion Market Part I: The Case for Construction Automation

In 2018 my friend excitedly mentioned that he and his wife were looking to buy a house. Finding a new home would end up taking them another 24 months. Maybe those of you who are living in the San Francisco Bay Area have had a similar experience involving an excruciatingly painful journey to bid, getContinue reading “The $400 Billion Market Part I: The Case for Construction Automation”

Kidney Disease: A Silent (and Costly) Killer

The underlying macrotrends, current solutions and investment opportunities Creative Ventures recently led an investment into VenoStent, an advanced-material technology company working on eliminating the 50%+ failure rate in vascular-access surgery required to initiate hemodialysis. Here we unravel the underlying macrotrends driving the development of solutions and investment opportunities in this sector. The kidneys are amongContinue reading “Kidney Disease: A Silent (and Costly) Killer”

Myths and Realities of Automation and Labor Shortages

This is the introduction to a series of articles Creative Ventures will be publishing on the topic of Labor Shortage and Automation.  The pandemic has brought discussions of automation front and center once again. In our new contactless, socially distant world, automation has allowed operations to continue and has accelerated trends in industries where laborContinue reading “Myths and Realities of Automation and Labor Shortages”

photo of golden cogwheel on black background

What is Method Driven VC?

In order to truly address global problems facing society, many of which stem from resource shortages, we turn to technology, a resource multiplier. However, technology needs capital–for successful access, execution, and deployment at scale.  Thus, the question becomes, how do we enable new and potentially impactful technology to reach the broader commercial market? Capital isContinue reading “What is Method Driven VC?”

Invest in “Product-Ready” Technologies, Not Moonshots

At Creative Ventures, we often hear from our peers, “You seem really fearless about technical risk.” Ironically, this could not be further from the truth. We explicitly do not invest in technologies at Creative Ventures (even though we are a deep tech fund).

Data Moats for AI

The Fall of Data Moats

“What’s your data moat?” It’s one of the most common questions to AI-related startups. It’s also an increasingly irrelevant question. Thanks to better representations and algorithms it’s now possible to do a lot more with a lot less data. Outside of a limited number of fairly specialized applications, data moats are becoming less and less secure.


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