Computational capital intelligence
Capital markets rely on financial statements, research, models, and market data. Over time, this information becomes fragmented and difficult to reason about consistently.
Convex Capital is developing systems that turn this information into structured, computational knowledge. The goal is to support clearer reasoning about how capital is allocated and how assumptions evolve over the long term.
Our technology combines structured financial reasoning, persistent context, and computation. We augment large language models so insights remain grounded, explainable, and usable over the long term.
Our platform
Designed to unify fragmented investment knowledge
Investment insight today is spread across spreadsheets, documents, charts, and personal judgment. Convex Capital makes this knowledge computational, allowing it to be examined, compared, and revisited over time.
Our platform is built to:
Understand portfolios and fundamentals
Bring together holdings, exposures, financial statements, and valuation inputs into structured views that make risk and quality easier to assess.
Model markets and change
Track factors, correlations, and drawdowns to clarify what is changing and what remains stable.
Produce explainable analytical outputs
Combine quantitative analysis with structural and thematic context into results designed for review, discussion, and learning.
Who we serve
Independent investors and allocators
Looking for clearer, more disciplined ways to understand portfolios and investment decisions.
Small research-driven teams
Seeking structured analysis without heavy infrastructure.
Builders and institutions
Exploring computational approaches to capital allocation.Coming soon.
Our team
Our team is multi-disciplinary. If you are interested in building reliable financial software and systems for computational reasoning, we would be glad to hear from you.
Our team works remotely across the US and APAC, with product, technical, and financial roles spanning both regions.