Our process is rooted in empirical foundations, using proprietary AI and data science to uncover investment opportunities in venture capital.

A major challenge in venture capital (and market analysis broadly) is that the vast majority of startups, their competitors and companies worldwide are privately held, with little or no reliable public data available on their performance.

While commercial databases, LLMs, and other widely available tools can provide some visibility, they offer only narrow glimpses (and sometimes none at all) into the complex and large-scale market forces that matter most.

We continually evolve our AI to gain clearer and more quantitative views into opaque markets. This enables us to uncover unique insights into startups and markets as a whole.

Collaborations That Go Deep
Dozens of multinational industry leaders have worked closely with Thomas to shape and strengthen the AI platform named Quannix. These partnerships reflect serious mutual investment, where both sides commit significant time, expertise and resources. Together, they analyze markets, pressure-test the AI, and use it to inform strategic decisions in environments defined by uncertainty, disruption or crisis.

Learning at Market Scale
Across more than 1,000 market segments, these collaborations go beyond sharing data; they generate real-world insight into how growth unfolds under pressure, and where the next waves of opportunity may lie.

Built to Learn, Not Just Predict
Quannix is the product of continuous learning; combining data science with the experiences and challenges shared by some of the world’s highest profile organizations. These partnerships help our AI evolve in practical, relevant ways while giving our collaborators clearer paths through uncertainty.

Innovation as a Catalyst for Global Progress
We see innovation-driven businesses as powerful forces for social and economic progress. Beyond driving market success, innovation plays a critical role in addressing global challenges, from environmental sustainability to healthcare advancements. By applying a rigorous, empirical approach to understanding business and market dynamics, we aim to uncover insights that not only enhance investment strategy but also contribute to a more resilient, prosperous and sustainable world.

Venture Capital as a Market Laboratory
Venture capital functions as a real-time laboratory for understanding business behavior in conditions of high uncertainty, disruption, or crisis. By developing AI and frameworks to navigate these challenges, we gain invaluable insights in circumstances where traditional metrics often fail. These processes help navigate uncertainty, even when data is incomplete. The lessons extend far beyond startups, offering practical frameworks for maintaining innovation and strategic clarity when facing unprecedented change, enabling organizations to grow confidently despite turbulent conditions.

Data Science and AI in Venture Investing
By applying data science and AI to venture investing, we enhance the predictability and effectiveness of innovation. Just as other scientific disciplines leverage advanced tools to improve outcomes, we use structured analysis and computational intelligence to refine investment decision-making. This approach has uncovered valuable insights that challenge conventional assumptions and provide a more structured view of innovation success.