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Trust Machines
Trust Machines is a builder-investor focused exclusively on Bitcoin-native DeFi and staking infrastructure, with offices across North America, Europe and Asia.
Trust Machines
Trust Machines is a team of engineers, builders, and operators banding together for one mission: growing the Bitcoin economy.
General information
Firm type
Asset Manager
Location
Region
North America
Country
United States
City
New York
Corporate office
New York, United States
Additional offices
San Mateo · Tokyo · Amsterdam · Prague · Beijing · Cheyenne · Palo Alto · Minneapolis
Sector focus
Frequently asked questions
What is Trust Machines' investment focus?
Trust Machines targets the Bitcoin economy exclusively, concentrating on decentralized finance and staking applications built on Bitcoin. The firm does not invest in other blockchain ecosystems.
Does Trust Machines build its own products or only invest in external startups?
The firm operates a hybrid model. It develops proprietary Bitcoin infrastructure products in‑house while simultaneously incubating and investing in external teams working on Bitcoin DeFi and staking.
Where is Trust Machines located?
Trust Machines maintains offices across three continents. Locations include San Mateo, Palo Alto, New York, Cheyenne and Minneapolis in the United States, along with international outposts in Tokyo, Amsterdam, Prague and Beijing.
What digital asset sectors does Trust Machines avoid?
Trust Machines is exclusively focused on Bitcoin. It does not invest in, build on, or support protocols from other Layer‑1 or Layer‑2 ecosystems, including Ethereum, Solana, Avalanche or comparable networks.
How does Trust Machines source opportunities?
The firm's sourcing model relies on its in‑house engineering and builder network. Incubation and investment targets emerge through the team's direct involvement in Bitcoin infrastructure development, though explicit process details remain undisclosed.
Profile maintained by Altss using OSINT (open-source intelligence), regulatory filings, licensed data partners, and verified direct submissions. Read the methodology. Last updated: . Continuous refresh with full update cycles at least every 30 days.
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