Great customer experiences start with understanding

Yes. SESTEK Speech Recognition is built for real-world audio, including background noise, varying accents, and telephony-quality speech. Our models are trained with diverse audio data that includes noisy and challenging conditions, helping them maintain strong recognition performance beyond clean studio recordings. For even greater accuracy, models can be fine-tuned using your own recordings, terminology, and acoustic environment

Yes. Speech Recognition deploys fully in the cloud or fully on-premises, depending on your infrastructure, data residency, and compliance needs. Both options offer the same capabilities, integrations, and fine-tuning process; deployment model doesn't limit functionality.

SESTEK combines the strength of its proprietary speech technology with selected industry-leading external models to deliver the best possible coverage and performance across 99+ languages. Our own models are used where deep fine-tuning, domain adaptation, and customer-specific optimization create the greatest value, while trusted external engines extend language coverage where needed. Everything is seamlessly delivered through the same SESTEK API, giving you the flexibility of multiple leading technologies with one platform, one integration, and one point of support.

With sufficient training data, new SESTEK language models can be ready in as little as 1–2 weeks. For languages where data must first be collected or prepared, timelines vary based on data availability and requirements. Vocabulary updates, pronunciation customization such as product names and industry-specific terminology, can be applied instantly without retraining the model.

Sensitive information can be masked in the recognition output using configurable, rule-based settings, so PII doesn't need to reach downstream systems in raw form. For organizations with strict data sovereignty requirements, this can be paired with exclusive, customer-specific model training.

SESTEK SR leverages specialized domain-adapted language models and custom phonetic dictionaries. Teams can instantly define custom acronyms, brand names, and complex technical terms without retraining the base model, ensuring market-leading recognition accuracy across specialized sectors like banking, telecom, and healthcare.