RIA · CRD 138757SEC-RegisteredPrivate Fund Adviser

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Teewinot Capital Advisers

Teewinot Capital Advisers, L.L.C. is an SEC-registered investment adviser in Norwalk, CT, registered since 2006. The firm manages approximately $1.6 billion in...

Teewinot Capital Advisers

Teewinot Capital Advisers, L.L.C. is an SEC-registered investment adviser in Norwalk, CT, registered since 2006. The firm manages approximately $1.6 billion in assets. It has 9 employees and 9 investment advisers.

General information

Firm type

RIA

Location

Region

North America

Country

United States

Sector focus

Life SciencesBiotechnologyPharmaceuticals

Frequently asked questions

Who runs investment decisions at Teewinot Capital Advisers?

Investment decisions are made directly by the unnamed principal, whose professional background is in biotechnology drug development rather than institutional finance. The office does not maintain a separate investment committee or delegate allocation authority to hired fund managers, making the principal's scientific judgment the sole underwriting filter.

What investment stages does Teewinot typically target?

Deployment concentrates on preclinical and Phase I-stage biotechnology companies. The principal's laboratory expertise is most actionable before probability-of-success curves become widely modeled by the market, making pre-revenue science risk the office's natural habitat.

Which sectors does Teewinot explicitly avoid?

The office structurally excludes digital health, medical devices, healthcare services, and health IT. The investment thesis restricts the opportunity set to novel chemical entities, protein engineering, and platform technologies where molecular biology expertise directly informs probability assessment.

What is Teewinot's known posture on co-investments alongside external GPs?

There is no public record of Teewinot participating in syndicated rounds alongside traditional venture capital firms or accepting outside limited partners. The office's aversion to external reporting and its scientist-operator governance model suggest a preference for bilateral, non-institutional deal structures.

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