PolyAI vs Murf AI

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

PolyAI has raised more in total funding at $116M, compared to Murf AI's $11.5M — a gap of $104.5M. Combined, the two companies have completed 2 known funding rounds.

PolyAI holds the higher Awaira Score at 70/100, compared to Murf AI's 58/100. The Awaira Score is a composite metric factoring in valuation, funding, stage, team size, and market presence — a 12-point gap that reflects meaningful differences in scale or traction.

PolyAI was founded by Nikola Mrksic in 2017. Murf AI was founded by Sneha Roy in 2020. Visit each company's profile on Awaira for a full founder biography.

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. 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.

PolyAI was founded first in 2017, giving it 3 years of additional market experience. Murf AI was founded later in 2020. In AI, even a year or two of head start can translate into significantly more training data, customer relationships, and institutional knowledge.

PolyAI has approximately 100-500 employees, while Murf AI has approximately 125. A larger team often signals higher revenue or venture backing, but in AI, smaller teams are increasingly capable of building at scale.

Yes, PolyAI and Murf AI 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.