aiOla is proud to introduce Jargonic V2, the most sophisticated enterprise-grade speech-to-text model designed to handle the complexity of industry-specific jargon, technical terminology, and real-world acoustics with unprecedented accuracy.
Our prestigious first-generation model, Jargonic V1, was exclusively deployed with select tier 1 enterprise customers, setting a new standard in ASR for professional and industrial applications.
Now, with Jargonic V2, we are opening this cutting-edge technology to the world, ensuring businesses across manufacturing, logistics, finance, healthcare, and other technical domains can leverage speech-driven automation with unparalleled precision.
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Zero-shot learning for any jargon, no additional training required: Jargonic-2 introduces a revolutionary zero-shot learning capability, meaning enterprises can achieve state-of-the-art transcription accuracy without additional model training or fine-tuning. This allows organizations to seamlessly convert speech to structured data in any language, accent, or specialized terminology, reducing friction in operational workflows.
Both Jargonic V1 and Jargonic V2 are built on an advanced transformer encoder-decoder architecture, ensuring efficient and context-aware transcription. However, Jargonic V2 represents a significant leap forward, offering:
Jargonic V2 is purpose-built for complex, domain-specific transcription challenges where standard ASR models fail. Our keyword spotting system ensures real-time detection of company-specific jargon, critical for:
By optimizing AI models with domain-relevant acoustic and linguistic data, Jargonic V2 significantly reduces word error rates (WER) and character error rates (CER), outperforming leading ASR providers in benchmark tests across multiple languages and datasets.
aiOla’s technology extends beyond conventional speech-to-text, integrating:
✅ Unique state-of-the-art Keyword Spotting – handles any jargon without training.
✅ Patented ASR integration ensures precise keyword spotting with even fewer errors.
✅ Multi-head efficient decoding – reduces inference time while improving accuracy
✅ Embedded Named Entity Recognition (NER) – automatically detects and anonymizes sensitive data such as names, phone numbers, and financial details, ensuring compliance with enterprise security standards.
✅ Real-Time Insights & Data Structuring – speech is not just transcribed; it is structured into actionable intelligence for process optimization, reporting, and analytics.
With Jargonic V2, enterprises can unlock the full potential of voice-driven automation, seamlessly integrating aiOla’s AI-powered ASR into ERP systems, quality management platforms, and production control workflows—without disrupting existing operations.
aiOla’s research team is a world-class powerhouse in voice and speech AI, with seven PhDs from top companies and academic institutions.
Led by Gil Hetz PhD, Professor Yossi Keshet and Professor Bhiksha Raj, our experts are redefining industry standards, pioneering breakthroughs in ASR and Conversational AI. Their cutting-edge work drives aiOla’s unmatched accuracy and adaptability, empowering enterprises to unlock the full potential of spoken data.
Jargonic-2 isn’t just a step forward—it’s a breakthrough. By eliminating the need for custom training, delivering unmatched transcription accuracy, and enabling instant voice-to-data conversion, aiOla is redefining how enterprises interact with speech intelligence.
Our team has been at the forefront of innovation in Speech and Voice AI, with multiple groundbreaking research papers published:
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