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Smallest AI
Real-time voice models and an agent platform for enterprise voice AI
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2.3MB · 7,383px tall · uses Times, Geist, Aeonik Medium
Industry
AI Infrastructure, AI Agents, Devtools
Style
Minimal, Bento
Stage
Series A
Built with
Framer
About the site
Smallest AI makes voice models for text-to-speech, speech-to-text and speech-to-speech, plus a platform for building enterprise voice agents. The homepage is almost entirely white and grey, with a single saturated blue card in the hero, and that card is one of several working demos: visitors can call an agent, dictate into the transcription model or generate speech before scrolling. Further down, a thesis panel argues for many small models over one massive one, model cards quote latency and language counts, a teal speech-to-speech panel shows a live transcript, and a real agent configuration screen and a code snippet close the product case. A clean reference for AI infrastructure sites that let the product do the persuading.
How this page sells
For enterprise voice teams: let buyers call an agent and try each model in the hero, then back it with latency numbers and certifications.
Primary navigation
- Agents
- Models
- Resources
- Pricing
- Sign Up
- Contact Sales
ClickTap a section to see it on the page
'Realtime voice AI suite built for enterprise scale' above a carousel of live demo cards: a blue Voice Agents card with a Call agent button, Pulse speech-to-text with a mic button, and Lightning v3.1 pro with Generate speech.
Why it converts: Each card is a working demo, so a buyer can hear voice quality and speed in the hero before reading any sales copy.
RingCentral, Paytm and Truecaller in a single row of black wordmarks.
Why it converts: A telephony platform and two consumer apps with huge call and user volumes suggest the models already hold up at enterprise scale.
'We believe AI will evolve like human intelligence. Not one massive model that knows everything but many small ones that each know exactly what matters.' beside stacked essay cards such as 'World Models for Voice'.
Why it converts: A clear research stance explains the company name and presents small models as a deliberate bet on speed and cost, not a compromise.
Three model cards with Get API buttons: Lightning V3.1 Pro at '100 ms latency across 15+ languages', Pulse Realtime in 38 languages 'with emotion and speaker detection', and Electron, 'a sub-3B language model that outperforms GPT-4.1'.
Why it converts: Concrete latency, language and benchmark claims let a technical buyer compare vendors on the page instead of booking a call to find out.
A teal water-texture panel, 'One of the first native speech-to-speech models - built for production', holding a chat transcript that opens 'Hey, I'm Alex from Smallest Kitchen. What's your name?'
Why it converts: Claiming one of the first native speech-to-speech models positions the company at the frontier, and the transcript shows what that sounds like in a real order.
A real configuration screen for a claims intake agent: a system prompt for 'Sarah, a compassionate claims intake specialist', the Electron model, English (UK) and Hindi, and a Robin voice, with Test agent and Publish buttons.
Why it converts: A filled-in insurance agent shows exactly what a buyer would configure, which makes going live feel like an afternoon's work.
A 21-line JavaScript snippet calling the lightning-v3.1 endpoint with a voice_id of 'magnus', a language picker and a Get API key button.
Why it converts: Copy-paste code turns a developer from reader to tester in minutes, and the API key button sits right where the code ends.
'Certified & Compliant' with a View compliance button and grey tiles for ISO 27001, SOC 2 Type 2, GDPR Compliant and HIPAA Compliant.
Why it converts: Listing the certifications that banks, insurers and healthcare ask for lets a security reviewer tick them off without a call.
'Build the future of voice agent orchestration' in large centred type with a single Contact sales button.
Why it converts: After the self-serve demos, the page ends on the enterprise path, with one clear next step for a buyer ready to talk volume.
