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smallest.ai
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smallest.ai
@smallest_AI
Real-time Voice AI. Built for Scale.
San Francisco Katılım Eylül 2023
29 Takip Edilen9.1K Takipçiler
Read this blog on Pulse by Speko:
benchmarks.speko.ai/blog/pulse-stt
English
Pulse STT is now live as a routable speech-to-text provider on the Speko (dot) ai gateway!
One config change is all it takes to route your voice agents to Pulse: no separate integration or extra API keys required.
If you're building agents where responsiveness is the product, Pulse STT is the first model Speko would point you at.
@beknabdik @spekoai_
English
Thrilled to have been part of the ELETS NBFC Tech Summit in Chennai! 🎙️
It was incredible to be in the room and have the opportunity to showcase realtime Voice AI deployments. A few takeaways that stuck with us:
→ NBFCs are moving fast on AI adoption, but the real differentiator is execution
→ Trust and compliance aren't blockers. They're the foundation
→ The appetite for intelligent, voice-first customer experiences is real and growing
To everyone we connected with, thank you for the energy, the ideas, and the honest conversations. The future of fintech in India is being written right now, and we're glad to be part of it.
English
#1 real-time TTS for Hindi Customer Support on @voicearena_ai, ahead of Sarvam and Cartesia!
Voice Arena@voicearena_ai
Lightning 3.1 Pro from @smallest_AI is the #1 real-time TTS model for Customer Support in Hindi 🇮🇳 on Voice Arena In blind human evaluations it outperformed leading Hindi alternatives including Sarvam and Cartesia. ➤ Quality: Bradley-Terry Elo of 1101 (±24) from 478 blind arena appearances in this category, every point earned in head-to-head preference tests, not internal benchmarks or synthetic metrics ➤ Production-ready: native 44.1 kHz output, ~150 ms time-to-first-byte at scale, ~29 languages with premium curated voices, purpose-built for voice agents, IVRs and support workloads Customer support is the register where TTS actually gets deployed. Samples below 🧵
English
smallest.ai retweetledi
Lightning 3.1 Pro from @smallest_AI is the #1 real-time TTS model for Customer Support in Hindi 🇮🇳 on Voice Arena
In blind human evaluations it outperformed leading Hindi alternatives including Sarvam and Cartesia.
➤ Quality: Bradley-Terry Elo of 1101 (±24) from 478 blind arena appearances in this category, every point earned in head-to-head preference tests, not internal benchmarks or synthetic metrics
➤ Production-ready: native 44.1 kHz output, ~150 ms time-to-first-byte at scale, ~29 languages with premium curated voices, purpose-built for voice agents, IVRs and support workloads
Customer support is the register where TTS actually gets deployed. Samples below 🧵
English
Incredible energy at the Elets Banking and Finance NBFC Tech Summit in Chennai!
Our Head of Global GTM, @apoorvsood, took the stage to share how voice AI is already transforming collections, onboarding, and customer engagement for NBFCs.
The conversations in this space are getting serious, and we're here for it. If you want to see what a voice AI deployment looks like for your NBFC, let's talk.
Book-a-demo link in the thread
English
We're live at the ELETS NBFC Tech Summit in Chennai!
Come find us at Booth 16. We're running live demos all day and would love to show you what's possible with voice AI in financial services.
Later today, our Head of Global GTM @apoorvsood takes the stage to walk through a real voice AI deployment built specifically for NBFCs: the architecture, the results, and what's next.
If you're here, don't miss it. If you're not, find the book-a-demo link in the thread.
📍 Hilton Chennai | Booth 16
English
Pulse STT realtime is ahead of @DeepgramAI @cartesia and @ElevenLabs on speko benchmarks!
The world’s best STT to build real-time voice agents!
smallest.ai@smallest_AI
#1 Speech-to-Text model in the world on Speko Benchmarks! With an industry-leading 183ms end-of-turn latency, Pulse tops the leaderboard with the fastest conversational experience, delivering responses 2× faster than the next-best model while maintaining super strong transcription accuracy. And starting today, Pulse STT is also live as a routable provider on the @spekoai_ Gateway. If you're building real-time voice agents where responsiveness is not a metric but the product itself, Pulse is the model Speko recommends! Read Speko's deep dive on Pulse STT in the thread below. @beknabdik
English
Benchmarks: #stt" target="_blank" rel="nofollow noopener">benchmarks.speko.ai/#stt
Speko deep-dive on Pulse STT:
benchmarks.speko.ai/blog/pulse-stt
English
#1 Speech-to-Text model in the world on Speko Benchmarks!
With an industry-leading 183ms end-of-turn latency, Pulse tops the leaderboard with the fastest conversational experience, delivering responses 2× faster than the next-best model while maintaining super strong transcription accuracy.
And starting today, Pulse STT is also live as a routable provider on the @spekoai_ Gateway. If you're building real-time voice agents where responsiveness is not a metric but the product itself, Pulse is the model Speko recommends! Read Speko's deep dive on Pulse STT in the thread below.
@beknabdik
English
Because your application doesn't always need to wait for the perfect transcript.
The sooner it has enough information to start thinking, retrieving context, or preparing a response, the more responsive the entire experience feels.
A low Time-to-First-Partial-Transcript can make the difference between an AI that feels instantaneous and one that feels like it's constantly making you wait.
We broke down this metric (along with the rest of the latency metrics that actually matter for Speech-to-Text models) in our blog:
English
Is your speech-to-text model actually fast?
Most people look at Time-to-Final-Transcript. But if you're building voice agents, AI assistants, or anything conversational, there's another metric you should care about.
Thread 🧵
English
smallest.ai retweetledi
Lifecycle of a agent, i now have enough content to write a book on this 😅
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smallest.ai retweetledi
