Skelter Labs vs PolyAI

Neither company has publicly disclosed a valuation, making a definitive size comparison difficult. Skelter Labs employs 100-500 people, while PolyAI has 100-500 employees.

PolyAI has raised more in total funding at $116M, compared to Skelter Labs's $27M — a gap of $89M.

PolyAI holds the higher Awaira Score at 70/100, compared to Skelter Labs's 48/100. The Awaira Score is a composite metric factoring in valuation, funding, stage, team size, and market presence — a 22-point gap that reflects meaningful differences in scale or traction.

Skelter Labs was founded by Claire Choi in 2017. PolyAI was founded by Nikola Mrksic in 2017. Visit each company's profile on Awaira for a full founder biography.

Skelter Labs: Skelter Labs builds conversational AI and voice intelligence technology for enterprise customer service and device embedded applications, developing Korean-language natural language understanding, speech recognition, and dialogue management systems for deployment in customer contact centers, smart speakers, and automotive infotainment systems. The Seoul company was founded by former Google Korea AI engineers who led Korean-language Google Assistant development.\n\nThe company raised approximately $27 million in venture funding from investors including SoftBank Ventures Asia and KB Investment. Skelter Labs serves Korean telecommunications companies, financial institutions, and consumer electronics manufacturers that require high-accuracy Korean-language voice AI capabilities. The company technology stack covers speech recognition, natural language understanding, and text-to-speech in a complete Korean voice AI platform that clients can deploy in cloud or on-premise configurations.\n\nSkelter Labs competes in the Korean conversational AI market against Naver Clova, Kakao I, and international voice AI platform providers that offer Korean language support. The founding team background at Google provides credibility in voice AI that most Korean startups lack, and the company deep Korean language focus gives it performance advantages in Korean dialogue understanding that international platforms with multilingual but shallower Korean models cannot match. Enterprise deployments in telecommunications and financial services create recurring revenue from contact center AI applications that handle high volumes of Korean-language customer interactions daily. PolyAI: PolyAI develops voice AI agents for enterprise customer service, building conversational systems capable of handling complex, open-ended telephone interactions without human escalation. The platform is purpose-built for contact center automation, covering verticals including hospitality, banking, retail, and healthcare, with voice agents that understand context, manage multi-turn dialogue, and resolve customer queries end-to-end.\n\nThe company has raised approximately $116 million across multiple rounds including a $50 million Series C, with investors including NVentures, Khosla Ventures, and Point72 Ventures. PolyAI reports that its deployments handle tens of millions of calls annually for clients including Marriott Hotels, FedEx, and several major UK banks, with automation rates frequently exceeding 50 percent of total call volume.\n\nPolyAI competes in the rapidly expanding conversational AI market, which analysts estimate will exceed $40 billion by 2028. The company differentiates from competitors including Nuance, LivePerson, and newer generative AI entrants through its focus on naturalness and resolution quality rather than simple deflection metrics. The founding team holds deep academic roots in dialogue systems research from Cambridge University, giving the platform a technical foundation that is difficult for generalist AI providers to replicate quickly.

Both Skelter Labs and PolyAI were founded in the same year — 2017. Despite sharing a founding year, they may have launched at different times within that year, which can matter in fast-moving AI markets.

Both Skelter Labs and PolyAI report similar employee counts of approximately 100-500. Team size is often a proxy for operational scale, though lean AI companies can punch well above their headcount.

Yes, Skelter Labs and PolyAI are direct competitors — both operate in the AI Audio space and likely target overlapping customer segments. This comparison is especially relevant for buyers evaluating both platforms.