Smallest.ai, a foundational AI company, has unveiled Lightning V2, a cutting-edge Text-to-Speech (TTS) model that sets a new standard for voice realism and speed. Designed for modern enterprises, it offers ultra-low latency, multilingual support, and advanced customization, transforming applications like customer support and virtual assistants.
Lightning V2 delivers hyper-realistic Text-to-Speech in 16+ languages.
Achieves 100ms streaming latency for real-time voice applications.
Supports voice cloning with just 10 seconds of audio input.
Reduces call drops by over 50% with natural, trustworthy voices.
Offers on-premise deployment for high-compliance environments.
Costs a third of competitors, enhancing enterprise affordability.
Lightning V2 supports over 16 languages, including English (US, UK, Indian), Hindi, Arabic, German, Tamil, and Telugu, delivering voices with regional authenticity. Whether it’s English with a Midwest accent or Hindi with natural pauses, the model produces less synthetic, more human-like speech. Its voice cloning feature allows brands to create unique voice identities using minimal audio, enabling tailored experiences across regions and industries.
With a streaming latency of 100ms and low time-to-first-byte (TTFB), Lightning V2 excels in real-time dialogue applications. It fluently handles numbers, currencies, and special characters, making it ideal for customer support, booking systems, and AI agents. One enterprise reported a 50% reduction in call drops and a 70% increase in average call time, attributing these gains to the model’s natural and trustworthy voice quality.
Built on Smallest.ai’s Full-Stack Voice AI Platform, Lightning V2 integrates the AI model, infrastructure, and application layer for unparalleled adaptability. “Conversations aren't static. They have stages, emotions, and shifts in intent,” said Sudarshan Kamath, Co-founder of Smallest.ai. “Our platform gives teams the tools to adapt the AI mid-conversation, not just before deployment.” This enables dynamic prompt switching, domain-specific tuning for sectors like fintech or healthcare, and real-time error correction without retraining.
Lightning V2 offers on-premise support for high-compliance environments, ensuring data security for sensitive industries. Its cost, a third of competitors, makes it a scalable solution for enterprises. The platform’s end-to-end visibility and customization options empower developers to build intuitive, context-aware voice systems that evolve with usage, setting it apart from off-the-shelf AI products.
Smallest.ai’s Lightning V2 redefines Text-to-Speech technology with its speed, realism, and adaptability. By delivering cost-effective, enterprise-grade voice solutions, it empowers businesses to enhance customer experiences and drive operational efficiency across diverse applications.
Smallest.ai was founded in 2023 by Sudarshan Kamath and Akshat Mandloi, after years of building AI for electric vehicles, autonomous systems, and drones across the US, EU, Japan, and India. Their mission is to create foundational multi-modal AI that works in the real world, not just in the lab.
Smallest.ai was founded to answer a simple question: "why do a billion humans not speak to AI every single day?"
From voice interfaces to real-world deployment tools, every product we build brings us closer to making AI more human, accessible, and intuitive- across languages, accents, and cultures.
The company is backed by leading investors including 3one4 Capital, Better Capital, Upsparks Capital, Aarthi Ramamurthy, Michele Attisani, Peercheque, Global DeVC, Tiny VC, and a host of other global angels.
With Lightning V2, Smallest.ai takes a major step toward building intelligent, adaptable, and deeply human voice experiences—redefining how businesses interact with their customers, employees, and systems.
TechIntelPro empowers B2B technology decision-makers with the latest industry trends, deep insights, leadership perspectives and actionable intelligence to drive both organizational and professional milestones—and thrive on the tech pulse.