MV Capital - Tether Ignites Local-First AI Revolution with New Developer Grants Program

Stablecoin giant funds open-source on-device AI and self-custodial payments infrastructure to reduce cloud dependency and enhance privacy

Tether, the issuer of the world’s largest stablecoin USDT, has officially launched a comprehensive developer grants program aimed at accelerating the development of local-first artificial intelligence systems and decentralized payments infrastructure.

The initiative, announced today, emphasizes building technologies that operate independently of cloud services and centralized intermediaries, addressing growing concerns around data privacy, latency, and single points of failure in both AI and financial applications.

Task-Based Grants with No Funding Cap

The grants program features fixed payouts ranging from $1,500 to $4,000 per completed technical milestone, payable in USDT or Bitcoin. Unlike traditional open-ended funding models, rewards are tied directly to specific deliverables, ensuring tangible progress across Tether’s open-source ecosystem.

There is no upper limit on total program expenditures, signaling Tether’s strong commitment to fostering innovation in this space. Developers can apply to active tasks via the dedicated platform.

“Most of today’s infrastructure forces developers into tradeoffs — either depending on centralized platforms that control how your product runs, or relying on broken incentives that reward collecting and selling people’s data. We’re taking a different approach. If you can build something that runs locally, holds value directly, and doesn’t rely on external providers, we’ll fund it.”

— Paolo Ardoino, CEO of Tether

Four Core Focus Areas

QVAC Platform: Core libraries for on-device AI inference that runs entirely locally without sending data to external servers.
Wallet Development Kit (WDK): Tools enabling self-custodial wallets embedded directly into applications for key management and transaction signing.
MDK & Pears: Bitcoin mining infrastructure and peer-to-peer networking components.
Documentation, research into edge AI, cryptography, and open standards.

Breakthrough Medical AI Models Lead the Way

Complementing the grants program, Tether’s AI Research Group recently unveiled QVAC MedPsy — compact medical language models designed for edge devices. The 1.7B parameter model outperformed Google’s larger MedGemma-4B system by over 11 points on key medical benchmarks, while the 4B version surpassed even bigger 27B models in clinical reasoning tasks.

These models run entirely on smartphones, wearables, and local hospital hardware without internet connectivity, delivering faster responses with significantly fewer tokens. Performance highlights include superior results on HealthBench Hard and various MedQA-style evaluations.

Model	Parameters	Key Advantage
QVAC MedPsy-1.7B	1.7B	Outperforms Google MedGemma-4B
QVAC MedPsy-4B	4B	Beats larger 27B models on clinical tasks

Building on Proven Open-Source Commitment

This latest program builds upon Tether’s established track record of supporting decentralized technologies. The company has previously awarded multiple $100,000 grants to the BTCPay Server Foundation, donated $250,000 to OpenSats, and distributed over 500 student education grants through its Plan B partnership with Lugano.

By focusing on local-first principles, Tether aims to create robust, privacy-preserving systems that empower developers and end-users alike, reducing reliance on centralized cloud providers and data-hungry business models.