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Projects

Integrated Operational Intelligence Platform for Asset Health & Work Management

Integrated Operational Intelligence Platform for Asset Health & Work Management

Integrated Environmental Data Lake for Real-Time Monitoring & Classification

Integrated Environmental Data Lake for Real-Time Monitoring & Classification

AI-Driven Reputation Intelligence for Fashion Talent & Campaigns

AI-Driven Reputation Intelligence for Fashion Talent & Campaigns

Real-Time Industrial Anomaly Detection for Plant Operations

Real-Time Industrial Anomaly Detection for Plant Operations

Smart Waste Collection Optimisation Platform for Municipal Operations

Smart Waste Collection Optimisation Platform for Municipal Operations

Multimodal Document Intelligence for Claims Review & Compliance

Multimodal Document Intelligence for Claims Review & Compliance

AI-Powered Fleet Risk & Safety Analytics for Commercial Mobility

AI-Powered Fleet Risk & Safety Analytics for Commercial Mobility

Clinical Decision Support Platform for Early Deterioration Detection

Clinical Decision Support Platform for Early Deterioration Detection

Universal Data Ingestion Pipeline for GenAI & RAG

Universal Data Ingestion Pipeline for GenAI & RAG

Real-time Multilingual Speech-to-Text Platform

Real-time Multilingual Speech-to-Text Platform

Integrated Sports Analytics Platform for Performance & Tactics

Integrated Sports Analytics Platform for Performance & Tactics

AI-Powered Posture Coaching with Wearable Sensors

AI-Powered Posture Coaching with Wearable Sensors

GenAI Copilot for Structured Finance

GenAI Copilot for Structured Finance

Real-time Health Dashboard with Wearable Sensors

Real-time Health Dashboard with Wearable Sensors

Sparky*

We believe that innovation grows stronger
when knowledge is shared.

We believe open science and open data are the foundation for meaningful real-world impact.

As part of our commitment to open science and responsible AI, Sparky actively develops and publishes open datasets, tools, and research papers that support transparency, reproducibility, and real-world impact. Through our open data initiative, we contribute high-quality, well-documented datasets that bridge academic research and industrial application, enabling faster experimentation, validation, and collaboration across the ecosystem.

Our open repositories reflect how we work: rigorous in methodology, practical in execution, and focused on creating value beyond a single project. We support the broader scientific and developer communities while continuously improving the robustness and trustworthiness of the solutions we deliver to our partners by making selected datasets and resources openly available.

Integrated Operational Intelligence Platform for Asset Health & Work Management

We built an integrated operational intelligence platform that connects real-time equipment signals with enterprise operational data to give teams a single, trustworthy view of…

  • Strategy

    Build a unified asset-centric data layer, then deliver AI-driven detection and prioritisation tightly integrated into operator and reliability workflows.

  • Design

    Streaming and batch ingestion into a lakehouse foundation, asset identity and event alignment services, ML/NLP analytics layer, and workflow-ready dashboards plus APIs.

  • Client

    Enterprise energy operators in the EU

  • Tags

    ai, anomaly-detection, data-platform, forecasting, iot, nlp, operations, predictive-maintenance

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Integrated Environmental Data Lake for Real-Time Monitoring & Classification

We built an environmental data lake that turns heterogeneous monitoring streams into a coherent operational picture. The platform ingests measurements from field sensors, laboratory…

  • Strategy

    Standardise ingestion and harmonisation across sensor, spatial, and document sources, then layer real-time classification and traceable lineage so teams can act quickly without sacrificing evidence and governance.

  • Design

    Streaming and batch ingestion into a lakehouse foundation, geospatial-temporal indexing and schema alignment, AI services for anomaly detection and event classification, and dashboards plus APIs that operational teams use for triage and reporting.

  • Client

    Public sector environmental agencies and infrastructure operators in the EU.

  • Tags

    anomaly-detection, classification, data-lake, environment, geospatial, lakehouse, monitoring, streaming

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AI-Driven Reputation Intelligence for Fashion Talent & Campaigns

We built a reputation intelligence system that turns the open web into a structured, searchable signal for fashion brands and talent teams. The platform…

  • Strategy

    Unify web-scale collection with entity resolution and narrative analytics so teams can move from detection to decision quickly, with traceability to source content.

  • Design

    Streaming and batch ingestion into a lakehouse foundation, AI services for entity linking and sentiment/theme extraction, and an operational interface with alerting, review, and reporting workflows.

  • Client

    Fashion brands, agencies, and campaign teams operating across EU and global markets.

  • Tags

    analytics, entity-resolution, fashion, monitoring, nlp, reputation, risk, web-crawling

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Real-Time Industrial Anomaly Detection for Plant Operations

We built a real-time anomaly detection and monitoring platform for industrial operations where early deviation matters more than post-mortem analysis. The system ingests high-frequency…

  • Strategy

    Align streaming plant data with maintenance and operator context, then apply mode-aware anomaly detection and incident grouping to surface actionable deviations with low noise.

  • Design

    Streaming ingestion and lakehouse modelling with asset hierarchies, time-series anomaly detection and incident enrichment services, and dashboards plus APIs that connect alerts to maintenance and investigation workflows.

  • Client

    Manufacturers and industrial operators in the EU and wider EMEA region.

  • Tags

    anomaly-detection, lakehouse, manufacturing, operations, predictive-maintenance, reliability, streaming, time-series

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Smart Waste Collection Optimisation Platform for Municipal Operations

We built a smart waste collection platform that connects operational data, field reality, and optimisation into a single workflow for municipal services. The system…

  • Strategy

    Unify collection signals and service constraints into a single operational model, then combine forecasting with routing optimisation to reduce cost while improving reliability and responsiveness.

  • Design

    Streaming and batch ingestion into a geospatial lakehouse, forecasting and optimisation services for planning and re-routing, and an operational interface for dispatch, incident review, and performance reporting.

  • Client

    Municipal waste services and public sector operators across the EU.

  • Tags

    dispatch, forecasting, geospatial, operations, optimisation, routing, waste

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Multimodal Document Intelligence for Claims Review & Compliance

We built a document intelligence platform that turns complex claim and compliance paperwork into structured, searchable data that teams can act on. The system…

  • Strategy

    Convert unstructured document bundles into consistent case models, then combine extraction with retrieval-driven validation so reviewers can move faster while improving consistency and audit readiness.

  • Design

    Document ingestion and lakehouse storage with OCR and versioning, AI services for classification and field extraction plus RAG for evidence retrieval, and a reviewer interface with validation, audit trails, and API integration.

  • Client

    Insurance, finance, and regulated service providers operating in the EU.

  • Tags

    claims, compliance, document-intelligence, nlp, ocr, RAG, workflow

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AI-Powered Fleet Risk & Safety Analytics for Commercial Mobility

We built a fleet risk and safety analytics platform that consolidates operational signals into a single, actionable view of driver behaviour and incident exposure.…

  • Strategy

    Reconstruct trips and align operational context, then apply behaviour analytics and risk modelling to surface actionable patterns with evidence-backed review and follow-up.

  • Design

    Streaming telematics ingestion with trip reconstruction and geospatial alignment, lakehouse storage for longitudinal analytics, AI services for behaviour and incident classification, and an operational UI plus APIs for coaching and reporting.

  • Client

    Client:
Commercial fleet operators and mobility service providers across the EU and EMEA.

  • Tags

    analytics, fleet, geospatial, operations, risk, safety, telematics

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Clinical Decision Support Platform for Early Deterioration Detection

We built a clinical decision support platform that consolidates patient signals into an operational view for early detection of deterioration. The system ingests vital…

  • Strategy

    Unify bedside, lab, medication, and narrative signals into patient timelines, then apply context-aware risk modelling and explainable prioritisation to reduce missed deterioration and accelerate escalation.

  • Design

    Clinical data ingestion and harmonisation into a secure lakehouse, AI services for forecasting and anomaly detection with NLP enrichment, and clinician-facing workflows for prioritised review, validation, and escalation tracking.

  • Client

    Healthcare providers and hospital networks in the EU.

  • Tags

    anomaly-detection, clinical, healthcare, nlp

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Universal Data Ingestion Pipeline for GenAI & RAG

We built a universal data ingestion and knowledge pipeline that can take almost any type of file – PDF, Excel, XML, JSON, images, audio,…

  • Strategy

    Standardised ingestion layer for all file types, schema-agnostic knowledge model, multi-backend storage strategy (SQL, vector, graph), optimisation for RAG and agent retrieval patterns, and built-in observability for quality and governance.

  • Design

    Modular processors for PDFs, spreadsheets, XML/JSON and multimedia (OCR and speech-to-text), enrichment services for embeddings, summarisation and entity extraction, pluggable storage adapters for relational, vector and graph databases, and orchestration that exposes the final knowledge layer to GenAI agents, chatbots and analytics tools.

  • Client

    Media company from Germany (EU)

  • Tags

    data ingestion, data lake, data processing, graph db, RAG, vector db

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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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Integrated Sports Analytics Platform for Performance & Tactics

We built an integrated sports analytics platform that combines wearable sensors, video streams and contextual data to give coaches and performance staff a complete,…

  • Strategy

    End-to-end sports data platform focusing on data fusion from sensors, video and existing tools; AI models for biomechanical, load and tactical KPIs; coach-friendly visualisations; and modular design that can adapt to different sports and competitive levels.

  • Design

    Data ingestion from multiple sensor types and camera systems, time-synchronisation and alignment of all sources, feature extraction for performance and risk indicators, tactical analysis layers for positioning and team behaviour, and interactive dashboards with drill-down views for coaches, analysts and medical staff.

  • Client

    Basketball and Football clubs in Italy and Croatia (EU)

  • Tags

    ai, data lake, data processing, iot, video analysis

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Art

AI-Powered Posture Coaching with Wearable Sensors

We built a proprietary IoT sensor app and AI algorithm to track the posture and movement of ballet dancers in real time and deliver…

  • Strategy

    Wearable IoT architecture for real-time motion capture, AI models for posture reconstruction and deviation detection, mobile-first feedback design for dancers and coaches, and a data model that generalises to multiple sports and performance contexts.

  • Design

    Multi-sensor wearable setup with low-latency streaming to a mobile app, signal processing and feature extraction pipeline, AI algorithm for posture scoring and anomaly detection, intuitive UI with real-time cues and session summaries, and secure storage for longitudinal progress tracking and future analytics.

  • Client

    Theatre in Croatia (EU)

  • Tags

    ai, app, data lake, iot

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GenAI Copilot for Structured Finance

We designed and implemented a GenAI copilot that becomes an extra team member for structured finance professionals. Instead of digging through folders, spreadsheets and…

  • Strategy

    Multi-agent GenAI framework, retrieval-augmented generation (RAG), role-based access control, security and compliance requirements, AI evaluation and monitoring.

  • Design

    Domain-tuned GenAI agents, integration with internal data lake and document stores, prompt and workflow orchestration, conversational UI, dashboard for usage and quality metrics.

  • Client

    FinTech startup in NYC (USA)

  • Tags

    chatbot, data lake, finance, genai

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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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