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Jev is a novel AI model that outputs scores, choices, or binary decisions, praised for its speed, affordability, and accuracy when queried creatively, unlike traditional frontier models.
An 8B reasoning OCR model achieves near-perfect 99% accuracy, instantly extracting text from images and converting complex layouts into clean Markdown, outperforming larger models like GPT-4o on document tasks.
ACIE, an agentic RAG system for clinical information extraction, achieves 96.5% acceptance rate in nuclear-medicine physicians' judgments across 7,326 instances, addressing challenges of heterogeneous patient contexts and missing metadata.
Interfaze introduces a new hybrid AI model architecture that combines DNN/CNN encoders with transformers to achieve superior accuracy and cost-efficiency for deterministic tasks such as OCR, vision, and STT, compared to generalist models.
Interfaze AI introduces a specialized model that surpasses general LLMs on deterministic developer tasks including OCR, object detection, web scraping, speech-to-text, and classification.