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End-to-end speech stacks for transcription, command-and-control, and natural-sounding speech output. Accent coverage, latency targets, and deployment footprint drive the architecture.
Comprehensive solutions tailored to your business requirements
Domain-adapted speech recognition with custom lexicons, accent handling, and noise robustness for your specific audio environment.
Speaker diarization, language identification, emotion detection, and conversation analytics for meetings and calls.
Natural-sounding speech synthesis with voice selection, prosody control, SSML support, and streaming audio delivery.
Self-hosted ASR and TTS for regulated environments with air-gapped deployment options and data sovereignty guarantees.
Accurate transcription with domain-specific vocabulary
Natural-sounding speech output that users prefer over robotic alternatives
Speaker-level analytics for meetings and call centers
Low-latency streaming for real-time voice applications
On-premises deployment options for regulated audio data
Multi-accent and multi-language support for global reach
Out-of-the-box ASR struggles with specialized vocabulary. We fine-tune models with your domain lexicon and audio samples, typically achieving 90-95%+ accuracy on domain terms. Custom language models further boost performance.
Yes. We offer fully self-hosted ASR and TTS that run on your servers or private cloud. No audio data leaves your premises, satisfying HIPAA, legal privilege, and other data sovereignty requirements.
Modern neural TTS is nearly indistinguishable from human speech. We offer voice selection, prosody tuning, and SSML control so the output matches your brand personality. We A/B test voice options with your users during pilot.
We combine deep technical expertise with a product-first mindset to deliver solutions that work in the real world.
Seasoned engineers across blockchain, AI & web
200+ projects delivered globally
From discovery to production & beyond