About Mirus Ventures

Mirus Ventures is an AI-powered investment and incubation firm focused on creating, building, and growing the AI and automation economy.

Our model addresses fundamental problems with current approaches to technology disruption. Venture capital has evolved into a fee-driven hits business with poor outcomes relative to public markets. Corporate innovation consistently fails because the very qualities that make companies great at optimization make them blind to disruption. Technology transfer is hobbled by politics, conflicting motives, and timelines that can't keep pace with AI's exponential advancement. And entrepreneurship—while the most economically successful path to disruption—is inherently risky, volatile, and unscalable.

Our organization and processes are based on a proprietary model designed to achieve disruption at scale. We employ constantly improving AI technology to enhance our speed, quality, and cost-efficiency.

Coordination costs are the greatest challenge for any complex disruption portfolio. Generally, the greater the scale, the slower and less efficient an organization becomes. How can we make our model both effective and scalable?

For one thing, centralized capitalization is key—at least in the early stages of any effort. Mirus’ strategic leadership is responsible for ensuring that the best opportunities are capitalized, while less optimal efforts are scrapped.

Traditional organizations also tend to employ a flawed shared service model, emphasizing IT, legal, HR, and other administrative services. At their core these are risk mitigation activities and too often contribute to slow, risk-averse decisions. While certain administrative shared services make sense, the key operating and decision making authority for each should be embedded within initiatives to better align information flows and incentives.

Instead, shared services should focus on repeatable problem solving by domains that require substantial expertise but can safely be abstracted from the core initiative. This enables the provision of infrastructure (lab space, manufacturing, etc.) and resources (AI, design, software, research) without yield loss due to coordination complexity.

In addition, shared expert resources support key activities, but are organized in a specific fashion (designed and optimized over the past 15 years) to enable the injection of resources on-demand without incurring substantial coordination costs. This allows teams to remain small and agile, while still accessing an extraordinary breadth and depth of resources offered by the cluster.

The key elements to the model:

• A strategic leadership team with an investor mindset
• A combination of external (venture) and internal (studio) portfolio companies
• Studio teams are multi-disciplinary working within a common context, but on different options
• A shared services supporting team model optimized for providing highly specialized solutions on demand without bogging down the portfolio teams