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.Wave provides dedicated inference capacity for real-time workloads, alongside serverless streaming models for speech and conversation.
Our Dedicated Lanes give you the guarantees of a dedicated endpoint (latency, capacity, locked-in price) without paying for idle GPUs. Capacity is matched to your traffic on an agreed schedule: more during peak hours, less during quieter periods, or none when you don’t need service. You only pay for the capacity and time windows you reserve.
Our .wave Live API, powered by our WPK inference engine, provides streaming speech recognition and full-duplex voice.
Previously Dollyglot
CEO .Wave. Our team built Parler-TTS Mini Multilingual, the world’s first fully multilingual open-source text-to-speech model, with 300,000 monthly downloads, and Dollyglot, the first model to turn a photo into a real-time video avatar.
CTO .Wave. Our team built Parler-TTS Mini Multilingual, the world’s first fully multilingual open-source text-to-speech model, with 300,000 monthly downloads, and Dollyglot, the first model to turn a photo into a real-time video avatar.
Founded 2024 · Source
Source-based assessment · automated evidence rules
The homepage contains prelaunch or closure language; availability needs review.
Maturity is an evidence-based assessment, not a success rating. It may understate the current stage where evidence is limited. Coverage records documented areas, not a complete or independently audited company history.
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