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TrustLinq Seeks to Solve Cryptocurrency's Multi-Billion Dollar Usability Problem
TrustLinq enables crypto holders to make fiat payments in 70+ currencies globally without custodial intermediaries, addressing a major gap in crypto usability, experts say.
- On December 9, 2025 TrustLinq, a Swiss-regulated financial intermediary, announced its launch from Zug, providing an infrastructure layer linking crypto with fiat settlement networks.
- Industry estimates show a vast holder-to-merchant gap with 580 million crypto holders but only around 15,000 merchants accepting crypto, leaving much unusable, analysts and payments industry specialists say.
- The platform uses a non-custodial intermediary model called Self-Custodial Crypto to Third-Party Fiat Settlement and supports USDT on ERC20 and TRC20, USDC, EURC with structured operational controls and multi-jurisdiction settlement connectivity.
- Immediate availability includes connectivity to established payment rails, enabling individuals and businesses in eligible jurisdictions to send fiat through SEPA, SWIFT, Faster Payments, and ACH.
- Payments specialists call this an emerging infrastructure category that could increase real-world usability of crypto holdings and link them with traditional financial systems.
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11 Articles
11 Articles
TrustLinq Seeks to Solve Cryptocurrency's Multi-Billion Dollar Usability Problem
Zug, Switzerland, December 9th, 2025, ChainwireTrustLinq, a Swiss-regulated payments company, is addressing one of the most widely recognised problems in cryptocurrency: large amounts of crypto are held globally but
·New York, United States
Read Full ArticleTrustLinq Bridges Crypto Usability Gap with Innovative Payment Layer
Swiss-regulated payments company TrustLinq aims to solve the usability problem with crypto through its crypto-to-fiat payment layer. For over 16 years, cryptocurrencies have been held up in wallets and on exchanges with no way to use them in traditional settings. As a result, billions have been kept out of circulation as there has been no […]
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Leaning Left1Leaning Right1Center1Last UpdatedBias Distribution34% Left, 33% Center, 33% Right
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- 34% of the sources lean Left, 33% of the sources are Center, 33% of the sources lean Right
34% Left
L 34%
C 33%
R 33%
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