Build supportive wellness experiences

Use Inworld TTS for coaching replies, guided meditations, sleep stories, affirmations, and daily devotionals in 100+ languages. Control pauses and steer pace, softness, and warmth using natural break tags, making sessions feel human, not synthetic. Voice cloning and text-based voice design give your experience a distinct voice that stays consistent across languages.

Use Inworld STT across 30+ languages to capture speech, detect turn-taking, and return voice signals like emotion, pace, pitch, and vocal style, each with confidence scores. Those signals can drive gentler responses for a rough day, adaptive session pacing, and different flows for stressed, calm, or low-energy users.

Use the Inworld Realtime API for low-latency, speech-to-speech sessions. One realtime session handles listening, semantic turn detection, barge-in interruptions, and spoken responses, so users can pause to gather themselves, interrupt naturally, and get an answer instantly.

Route each session to the right model by metadata: plan, time of day, emotional state, topic sensitivity, or custom fields. Free users can use cheaper models, premium users can use stronger reasoning, and longer coaching threads can sit on a mid-tier model. A/B test coaching styles and measure retention, not just latency. With automatic fallback across 200+ models, a session never ends due to a provider outage.

People tell wellness apps things they would never type into a search bar. Inworld supports zero-data-retention configurations, on-prem deployment on your own GPUs, and enterprise retention and access controls, so you can build trust-critical voice experiences without storing what users share. GDPR and SOC 2 Type II compliant.

We understand consumer app economics and are committed to providing the highest quality models and inference for the lowest possible price. Whether it's TTS, STT, or LLMs, you will never get better price-performance elsewhere. And with our Inference service, you can access consumer-optimized open models for up to 50% lower than public third-party rates.