Zeus delivers batch speech-to-text transcription optimized for conversational AI use cases. The engine processes hours of audio with unmatched precision and fast turnaround times.
Purpose-built for enterprise transcription including call center analytics, meeting transcription, and content indexing where accuracy is paramount.
Zeus: Batch STT Model for Contact Centres
Zeus is a batch Automatic Speech Recognition (ASR) model purpose-built for post-call workflows in contact centres and trained at scale on diverse, real-world conversational data across multiple industries. Designed specifically for conversation AI workflows, Zeus delivers high-fidelity transcripts that remain reliable even under challenging acoustic and linguistic conditions.
Key capabilities include:
Purpose-trained for contact centres
Zeus is trained on large-scale, multi-vertical conversational datasets (e.g., banking, telecom, healthcare, retail), capturing the unique structure, pacing, turn-taking, and interaction patterns of agent–customer conversations.
Hallucination control
Zeus tightly constrains token generation to regions with strong acoustic evidence, significantly reducing spurious word insertions, fabricated phrases, and over-generation during silence, crosstalk, or low-confidence audio segments.
Robust performance in acoustically demanding environments
Zeus is resilient to real-world contact centre noise, including background chatter, keyboard noise, call-centre floor ambience, transient sounds, channel artifacts, packet loss, and short-duration distortions commonly found in telephony audio.
Word-level timestamps
Zeus provides precise word-level time alignment, enabling accurate downstream analytics such as speaker behavior analysis, sentiment tracking, compliance monitoring, call summarization, and audio–text synchronization.
Intelligent punctuation and formatting
Zeus automatically inserts punctuation to improve transcript readability and sentence structure, making outputs suitable for both human review and machine-driven NLP tasks without additional post-processing.
Extensive inbuilt domain-specific vocabulary
Zeus includes a rich, continuously evolving vocabulary covering industry terminology, product names, acronyms, and contact-centre-specific phrases, reducing out-of-vocabulary errors and improving recognition accuracy in domain-heavy conversations.
Mono-channel support with speaker diarization
In traditional contact centre setups, audio is often captured as mono-channel recordings, with both the agent and customer recorded in a single audio stream. Zeus supports robust speaker diarization across 13+ languages, accurately separating and labeling speakers even in overlapping or rapid turn-taking scenarios—without requiring dual-channel audio.
For more info, refer to the speaker-diarization page.
Automatic language identification
Many contact centre calls lack reliable metadata, and agents may switch languages to match the customer during a conversation. Zeus includes automatic language detection supporting 13+ languages, dynamically identifying the spoken language within the call and transcribing accordingly—without manual configuration or prior language hints.
For more info, refer to the language-detector page.