Research memoRead thesis →

Primary research on frontier technology
before the market
prices it in.

Caliga is a research collective covering crypto, fintech, deep tech, and frontier AI. We publish before we pitch, and we pitch rarely.

Why we exist

Most of the value in frontier markets
is captured before the thesis
becomes consensus.

Frontier technology moves faster than most research processes. The teams that reach good decisions do so because they understand how things work, not just that they are moving.

We work with founders who expect reviewers to read the implementation, question the assumptions, and document the edge cases. Whether capital follows is a separate question.

The method

Research first. Capital follows when the work supports it.

Our published work includes memos, models, and datasets that can be independently verified. When we allocate capital it is early, concentrated, and based on a documented thesis.

Open methodology

Sources cited. Steps documented. Findings reproducible.

Adversarial review

Hard questions are part of the deliverable, not a footnote.

AI-assisted synthesis

Structured tools for faster research without sacrificing rigor.

Team

Multiple members, one standard.

We publish before we pitch.

Feuter, Analytics & company research

Feuter·Singapore

Founder

Analytics & company research

Graduate training with VC exposure, specializing in analytics, financial modeling, and company analysis. Former operator with direct experience building and running a business.

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Kafka, Technical research

Kafka·NYC

Founder

Technical research

Computer science background with hands-on engineering experience across multiple startup stacks. Evaluates architecture, crafts automations and reviews implementation directly.

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Contact

Let's work together.

Share the problem, what you have built, and what you want reviewed. We respond when the research can add real value. Capital is a separate question.

How we work

Frontier markets reward teams that understand mechanism, not just momentum.

Our output is research you can trace, not a presentation. When we allocate, we do so early, selectively, and always after the work is complete.