1Mby1M Virtual Accelerator AI Investor Forum: Daniel Ibri, Mindset Ventures (Part 4)

Sramana Mitra: Another important point: the probability of building a true unicorn—not an artificial one inflated with liquidation preferences—is extremely low. Many overfunded companies become “zombiecorns” or fail due to overfunding.

96% of exits in our industry happen below a $100 million valuation. So you’re better off building a capital-efficient company that can generate a meaningful exit in that range. The probability of success is much higher. Most companies that raise hundreds of millions do not succeed.

So, Daniel, what is your thesis on B2B AI at the moment? Let’s double-click on that since B2B is your main focus.

Daniel Ibri: We’re primarily looking at two things.

First, AI infrastructure. For example, one of our recent US investments is OpenLayer. They built an end-to-end platform that provides quality assurance for AI models—from traditional machine learning to generative AI. Enterprises need to ensure their models don’t leak sensitive data, aren’t biased, use proper language, and don’t hallucinate. Quality assurance is complex, and OpenLayer solves that. This is just one example of enabling enterprise AI adoption.

Second, we’re looking at verticalized application-layer AI. We try to avoid general-purpose, horizontal applications. In vertical markets, it’s easier to build differentiation through proprietary data, specialized training, unique use cases, or deep founder expertise. These create moats.

So overall, our focus is on infrastructure that enables AI inside large enterprises, and on verticalized applications where strong differentiation is possible.

Sramana Mitra: Great. Here’s a very contemporary question. As you probably saw, Microsoft and OpenAI settled their dispute yesterday, and now OpenAI is ready to go public. The deal Microsoft has with OpenAI runs until 2032.

As I was reading this deal, I concluded that their combined assessment of AGI is three to eight years. Until recently we were operating with a horizon of three to ten years. It looks like they believe AGI is closer—probably within the next eight years.

How do you factor this possibility into your investment thesis?

Daniel Ibri: That’s a very good question. I’ve spoken to a lot of people about this recently, and I’ve heard everything from “we already have AGI but don’t see it” to “we’ll get to AGI in five years and full GI in ten.” It’s somewhere in that range.

This raises the question of the next frontier and what can truly differentiate companies. Barriers to entry are low, AI is easier to build, costs are dropping, you can code with AI, and use agents for everything. With AGI, you potentially have everything. So how do you build something differentiated enough to lead in a new subsegment? That’s challenging.

I think differentiation will come from the next frontiers—physical AI, robotics, or the combination of AGI-scale AI with quantum computing in the next few years. The disruption potential is huge. To be honest, I don’t have the answer, but these are the questions on my mind.

This segment is part 4 in the series : 1Mby1M Virtual Accelerator AI Investor Forum: Daniel Ibri, Mindset Ventures
1 2 3 4 5