Rime AI is an enterprise text-to-speech company whose API is purpose-built for high-volume, real-time voice applications such as IVR systems, outbound calling, phone ordering, and AI voice agents. Unlike competitors trained on audiobook narrators or podcast hosts, Rime trains its models on proprietary datasets of everyday conversational speech, producing voices that include natural prosody, breaths, pauses, filler words, and subtle imperfections that make automated calls sound human. The company's flagship model as of early 2026 is Arcana v3, released February 4, 2026. It supports 11 languages with mid-sentence code-switching that preserves the same voice identity and accent consistency across language boundaries. Arcana v3 achieves approximately 120ms latency on-premises and around 200ms time-to-first-byte via the cloud API, enabling genuinely real-time conversational experiences. Two other model tiers exist: Mist v2 for high-performance general use and Coda for premium expressiveness. Rime also offers SpeechQA, a tool that flags low-confidence words before they ship and lets teams fix pronunciation issues within minutes without model retraining or engineering work. The platform supports on-premises, VPC, and public cloud API deployment and is SOC 2 and HIPAA compliant, making it suitable for regulated industries such as healthcare and telecom. As of May 2025, Rime had raised $8.59M total across two rounds, including a $5.5M seed led by Unusual Ventures. The company reported powering over 100 million phone conversations per month for more than 20 enterprise customers including Domino's and Wingstop, with vendors reporting sales lifts of up to 15% attributed to more natural-sounding voice agents. In March 2026 Rime's models became natively available on Together AI's inference platform for real-time voice agent pipelines. Rime targets developers and enterprises building customer-facing voice automation at scale: fast-food ordering, healthcare appointment scheduling, outbound sales calls, telecom support, and agent training. Its differentiation rests on training data quality (real conversational speech, not studio recordings), low latency, high concurrency, and enterprise compliance posture. Key features: - Arcana v3 model (Feb 2026): 11-language support with mid-sentence code-switching and sub-200ms cloud latency - Conversational training data: models trained on everyday speech, not audiobook narrators, capturing natural breaths, pauses, and filler prosody - Three model tiers: Mist v2 (general), Arcana (premium expressiveness), Coda (highest quality) - SpeechQA: flags low-confidence pronunciations pre-deployment and allows fixes without model retraining - Deployment flexibility: public cloud API, VPC, and on-premises with SOC 2 and HIPAA compliance - 300+ voice options with sub-120ms on-prem latency - Available natively on Together AI for unified real-time voice agent pipelines - Per-character pricing with Starter (3,000 free minutes), Growth, and Enterprise tiers
Per-character pricing: Mist at $0.03/1,000 chars, Arcana at $0.04/1,000 chars, Coda at $0.05/1,000 chars. Starter plan includes 3,000 free minutes. Growth and Enterprise plans available with volume discounts.