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We build data backbones that make operations intelligent — real-time insights, predictive architecture, cloud-native observability, and enterprise-grade automation.
Developed a decision and evaluation system where language models act as orchestrators across multimodal streams. The framework interprets signals from imaging, structured logs, speech transcripts, video segments and sensor-driven time traces, and performs context-aligned actions using grounded retrieval, tool-based reasoning and secured actuation protocols.
Built a unified processing pipeline that applies traditional natural language techniques together with convolutional and transformer-based deep learning models. The system interprets medical reports, operational notes and acoustic traces while also classifying inspection imagery and telemetry curves, supporting analytics, review cycles and structured insight generation across environments.
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