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real-time processing

Real-time Multilingual Speech-to-Text Platform

We developed a real-time speech-to-text platform for a UK-based client operating across multiple EU markets, where conversations naturally switch between languages and accents. The…

Real-time Health Dashboard with Wearable Sensors

We built a real-time health monitoring dashboard powered by our proprietary wearable sensor platform and AI algorithms, designed for continuous patient observation in hospitals,…

Real-time Multilingual Speech-to-Text Platform

We developed a real-time speech-to-text platform for a UK-based client operating across multiple EU markets, where conversations naturally switch between languages and accents. The…

  • Strategy

    Streaming ASR architecture, multilingual and code-switching support, integration with existing telephony and meeting tools, privacy-by-design approach for EU data, and a metadata layer optimised for search, analytics and GenAI assistants.

  • Design

    Low-latency audio ingestion and buffering, multilingual automatic speech recognition with language detection, speaker diarisation and punctuation, post-processing services for topics, entities and summaries, and APIs plus storage models that expose transcripts and metadata to dashboards, monitoring tools and conversational AI.

  • Client

    E-commerce/Retail in England (UK)

  • Tags

    ASR, data processing, real-time processing

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Real-time Health Dashboard with Wearable Sensors

We built a real-time health monitoring dashboard powered by our proprietary wearable sensor platform and AI algorithms, designed for continuous patient observation in hospitals,…

  • Strategy

    Edge-first digital health architecture, robust wearable sensor integration, AI models for fall and activity detection, clinician-friendly dashboards and support for both hospital and home-care use cases, including offline operation with secure synchronisation.

  • Design

    Wearable sensor app with low-latency streaming to a mobile or gateway device, on-device processing for fall detection and activity classification, flexible sync to a central backend, web dashboard with patient and ward views, alerts and trends, and configurable KPIs for remote patient monitoring.

  • Client

    Hospital in Croatia (EU)

  • Tags

    ai, data lake, iot, real-time processing

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