Real-Time Voice AI Platform Built for ScaleSmallest AI is a real-time voice AI platform built on smaller, specialized models instead of one massive general-p…
Smallest AI is a real-time voice AI platform built on smaller, specialized models instead of one massive general-purpose system. Rather than scaling a single generic model to handle every task, Smallest trains compact, purpose-built models for speech synthesis, transcription, language understanding, and native speech-to-speech conversation — each optimized for its specific job. The result is faster inference, lower latency, and more efficient performance across voice-driven applications.
Smallest AI is built for teams running high call volumes who need voice automation without sacrificing conversation quality — debt collection agencies, real estate teams, e-commerce support desks, and customer support operations. It also serves developers who want to build custom voice products on top of a fast, well-documented API, and early-stage startups building voice-first products from scratch.
Model | Function | Key Spec |
|---|---|---|
Text-to-Speech | ~100ms latency, 15+ languages, instant voice cloning | |
Speech-to-Text | 38+ languages, speaker & emotion detection, PII/PCI redaction | |
Electron | Small Language Model | Sub-3B params, OpenAI-compatible API, sub-300ms TTFT |
Speech-to-Speech | Native full-duplex model, sub-300ms latency, early access |
Lightning delivers studio-quality audio at 44.1kHz with automatic language detection and mid-sentence code-switching, plus instant voice cloning from just 5-15 seconds of reference audio.
Pulse offers accurate real-time transcription with built-in speaker diarization and redaction — no preprocessing required.
Electron is purpose-built for voice agents, with voice-agent-specific behaviors like emitting filler phrases before tool calls so a conversation never goes silent mid-task.
Hydra processes speech and text simultaneously in a single unified architecture, enabling true full-duplex conversation without the latency of a cascaded pipeline.
On top of these models sits Atoms, a no-code voice agent builder. Teams describe an agent’s role, conversational flow, and fallback behavior in plain language, and Atoms generates a working agent in about 30 seconds. It includes:
Knowledge base grounding from docs, FAQs, and product specs
Outbound calling campaigns with automatic retry logic
Telephony support in 40+ countries
Webhooks, post-call analytics, and prompt scoring
Mobile SDKs for iOS, Android, React Native, and Flutter
A full conversational turn — transcription, reasoning, and spoken response — completes in under 800ms end to end.
Automating debt collection calls with real-time negotiation and CRM sync
Real estate lead qualification and appointment scheduling
E-commerce customer support and cart-recovery follow-ups
Building multilingual voice assistants and conversational AI products
Voice cloning for audiobooks, gaming, and advertising
24/7 inbound and outbound call center agents
Smallest AI is SOC 2 Type II, HIPAA, GDPR, ISO 27001, and PCI-DSS compliant, with on-premise deployment available for regulated industries like healthcare, finance, and debt collection — running inference directly on customer-owned hardware so no data leaves the customer’s infrastructure.
Smallest AI offers a free tier with $10 in credits and no credit card required, followed by usage-based pricing on the pricing page. Custom Enterprise plans are available for teams needing SLA guarantees, dedicated support, and on-premise deployment.
Not one massive model that knows everything, but many small ones that each know exactly what matters.
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