Smallest.ai<\/a>, a startup founded in late 2024, is betting the next leap in voice agents will not come from making large language models faster, but from using smaller, specialized models built for human conversation. Simply put, the company wants to make speaking to an AI agent indistinguishable from talking to a human.<\/p>\nTo do so, it\u2019s developing a small voice model designed to mimic how humans process information by listening, thinking, and speaking simultaneously.<\/p>\n
\u201cWhile I\u2019m speaking to you, you\u2019re already thinking, and you might interrupt me if I talk for too long,\u201d Sudarshan Kamath (pictured left), founder and CEO of Smallest.ai, told TechCrunch, adding that this is exactly how the startup\u2019s model is designed to work.<\/p>\n
To fuel this mission, Smallest.ai has raised $13 million in a Series A round, led by Seligman Ventures with participation from Sierra Ventures and 3one4 Capital. The fresh capital brings the startup\u2019s total funding to over $21 million.<\/p>\n
\u201cThe way an LLM works is you give it an entire prompt, and then it starts thinking,\u201d Kamath said. While that latency is acceptable in a text chat, in a voice conversation, even a short pause feels unnatural. \u201cIf you think about how we are talking, I\u2019m not giving you like a large clipping of my audio, and then you start thinking.\u201d<\/p>\n
The startup\u2019s model serves as a real-time intelligence layer that enables natural customer conversations on specific topics, with virtually zero response lag. But if the model encounters a subject outside its limited knowledge base, Smallest.ai hands off the query to a large foundational model, briefly placing the customer on hold to \u201cresearch\u201d the issue \u2014 just as a real human would do.<\/p>\n
Kamath believes that all AI agents will soon rely on two models: a small voice model for real-time interaction, and an \u201coffline\u201d LLM that is called upon as needed to solve complex problems.<\/p>\n
Unlike large foundational models, Smallest.ai focuses strictly on voice-specific nuances, such as handling diverse accents, supporting dozens of languages, and operating in noisy environments.<\/p>\n
The startup\u2019s existing customers include companies in the voice space, including RingCentral and Truecaller. Kamath said that any customer support company, including newer ones like Sierra and Decagon, is a potential customer for the startup. \u00a0<\/p>\n
When asked why a well-funded AI customer support company wouldn\u2019t build its own voice model, Kamath said that for customer support startups, becoming \u201cextremely good at doing voice is a distraction from their core business.\u201d<\/p>\n
Smallest.ai competes with voice AI leader ElevenLabs, as well as Cartesia and regional players like Sarvam that focus on local languages.<\/p>\n
While some competitors apply voice AI to use cases, like audio dubbing and podcasting, Smallest.ai focuses strictly on real-time conversational voice agents for its enterprise customers.<\/p>\n
\u201cWe want our models to break the Turing test,\u201d Kamath said. \u201cYou should speak to our model and not know it\u2019s AI or human. That\u2019s the sole focus of the company.\u201d<\/p>\n
When you purchase through links in our articles, we may earn a small commission<\/a>. This doesn\u2019t affect our editorial independence.<\/p>\n","protected":false},"excerpt":{"rendered":"While AI agents are increasingly capable of solving customer support problems, most people can still tell immediately when…\n","protected":false},"author":2,"featured_media":126803,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2],"tags":[24,25,7134,457],"class_list":["post-126802","post","type-post","status-publish","format-standard","has-post-thumbnail","category-ai","tag-ai","tag-artificial-intelligence","tag-customer-support","tag-voice-ai"],"_links":{"self":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts\/126802","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/comments?post=126802"}],"version-history":[{"count":0,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts\/126802\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/media\/126803"}],"wp:attachment":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/media?parent=126802"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/categories?post=126802"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/tags?post=126802"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}