Investment thesis

AIGIS invests in companies and networks that protect private information and asset ownership. Our conviction is that as AI takes on more sensitive work and software controls more value, effective protection will become a stronger reason to choose one product over another.

The opportunity spans infrastructure that makes protection possible and products that make it useful. We look for technology that addresses a real need, a practical path to adoption, and a way for that adoption to produce investment returns. We view privacy as a core requirement of the infrastructure people rely on. Capabilities, cost, and ease of use shape how widely that protection is adopted.

Verifiable protection

Users should be able to check a system’s protection, not just read its description. We look for evidence tied to the deployed system: who can access data, who can move assets, what environment ran the work, and whether a claimed result is valid. Its limits and the trust it still requires must be clear.

Different products serve different needs. A payment network may prioritize keeping transaction details private. A consumer application may improve privacy while preserving familiar features and user choice. An organization may need controls over where data is processed and who can access it.

We assess protection against the risks a product addresses and the people it serves. Cost, performance, convenience, and recovery options all affect adoption. There is room for different approaches, provided their protection claims can be checked and their limits are clear.

Adoption and investment value

Protection can create investment value by helping products win and retain users or enabling work that would otherwise be too risky. We assess who pays, why they stay, and what competitors can reproduce. Technical quality needs distribution and sustainable business or network economics.

For equity, we assess revenue, costs, competitive advantage, and valuation. For network assets, we examine what the asset does, how usage creates demand for it, and how supply, incentives, and governance affect holders. Growing network use is only part of the investment case. Price, liquidity, and position risks must support the returns we seek.

Root Storms supports our opportunity diligence through technical, UX, and security research. That research helps us examine code, user experience, security assumptions, and deployment constraints alongside evidence of adoption and business or network economics.

How we test the thesis

We follow actual use: does protection influence product choice, do users stay, and does their activity support the economics we expect? Demand for privacy starts the research. Adoption, economics, price, and risk guide the investment decision.

Existing platforms may meet these needs, protections may become standard features, or users may find the tradeoffs too costly. Security failures, weak distribution, or poor investment terms can undermine an otherwise useful product. We reassess a position when the evidence no longer supports its technical, commercial, or return assumptions.