Skelter Labs vs Murf AI

Neither company has publicly disclosed a valuation, making a definitive size comparison difficult. Skelter Labs employs 100-500 people, while Murf AI has 125 employees.

Skelter Labs has raised more in total funding at $27M, compared to Murf AI's $11.5M — a gap of $15.5M. Combined, the two companies have completed 5 known funding rounds.

Murf AI leads with an Awaira Score of 58/100, while Skelter Labs sits at 48/100. That 10-point gap reflects real differences in funding, scale, and traction — it's not a vanity metric.

Skelter Labs was founded by Claire Choi in 2017. Murf AI was founded by Sneha Roy in 2020. 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. Murf AI: Murf AI is an Indian artificial intelligence company specializing in text-to-speech and voice synthesis technology. Founded in 2020, the company develops AI-powered tools that convert written text into natural-sounding audio across multiple languages and voices. The platform enables content creators, marketers, educators, and enterprises to generate voiceovers without requiring professional voice actors or recording studios. The company's core product is a cloud-based text-to-speech platform featuring customizable AI voices with adjustable parameters such as tone, speed, and emphasis. Murf AI's technology supports various use cases including video creation, podcast production, e-learning content, audiobook narration, and advertising. The platform integrates with popular content creation tools and supports multiple languages, expanding accessibility across global markets. As of the latest available information, Murf AI has raised $12 million in total funding and is operating at the Series A stage. The company's valuation remains undisclosed. The text-to-speech market is increasingly competitive, with players including Google Cloud Text-to-Speech, Amazon Polly, and other emerging startups competing on quality, pricing, and feature sets. Murf AI targets the growing demand for scalable audio content production, positioning itself within the broader AI audio generation landscape. The company's growth trajectory reflects increased adoption of AI voice solutions across content creation and enterprise applications. Murf AI addresses the text-to-speech market with a focus on natural voice quality and ease of integration for content creators.

Skelter Labs got there first, launching in 2017 — that's 3 years of extra runway. Murf AI didn't arrive until 2020. In AI, that kind of head start means more training data, deeper customer relationships, and a bigger talent moat.

Skelter Labs has about 100-500 employees; Murf AI has about 125. A bigger team usually means more revenue or heavier VC backing, but in AI, small teams can build at massive scale.

Yes — they're direct rivals. Both Skelter Labs and Murf AI compete in AI Audio, targeting many of the same buyers. If you're evaluating one, you should be looking at the other.