ND Wallet is a modular white-label non-custodial crypto wallet foundation developed by ND Labs for businesses launching branded digital asset products.
The solution includes customizable iOS and Android applications, multi-chain support, secure local key storage, core transaction flows, swaps and monetization options, admin tools, cloud infrastructure, and launch security checks.
Optional modules can include social login, MPC custody, fiat on/off-ramps, KYC/AML integrations, NFT support, WalletConnect and dApp access, DeFi and staking, additional blockchain networks, an AI assistant, and web or desktop delivery.
The final feature set, pricing, support model, and launch timeline depend on the selected platforms, networks, integrations, and customization requirements.
Learn more
Chainstack is a blockchain node platform that powers global blockchain applications across fintech, DeFi, wallets, custodians, analytics, and everything in between.
Teams cut time-to-market, cost, and risk with a single platform for blockchain nodes: in the cloud, offered through a preferred service provider, or self-hosted. Standardized node management across chains and environments puts reliability on autopilot and keeps performance predictable.
Operators get control and transparency, while developers get a consistent way to build and scale. For product teams, trading and analytics companies, and service providers running fleets, Chainstack is the fastest way to run reliable, predictable blockchain nodes at scale.
Learn more
Simba 3.2
Speechify’s text-to-speech API offers a family of Simba models for real-time voice generation across English, European languages, and broader multilingual use cases. Simba 3.2 is recommended for new English integrations, providing streaming-native synthesis, the lowest time to first byte, richer expressivity than earlier generations, and full support for SSML and emotion control. Simba 3.0 extends streaming-native speech to English, German, Spanish, French, Italian, and Brazilian Portuguese, with language selection handled through the request or voice locale. Simba Multilingual supports 35 locales across 30 languages, including mixed-language content and automatic language detection, while Simba English remains available as a legacy model for compatibility. Developers select a model through one parameter and can switch without changing the rest of the request structure, including voice, format, and SSML settings.
Learn more
