Our Products and Prototypes
Total of 28 products
IL3.0 - Real-Time Manufacturing Control Tower
The Control Tower module, together with two 98 inches screens and two Mac minis, allows to visually glue together several other products, serving as an unified operational intelligence platform that integrates multiple maritime analytics, optimization, simulation, and monitoring solutions into a single real-time environment.
| Version: 1.3 | Sector(s): General | Application Scope(s): General |
IL3.1A - Automatic EDA System for Heat Pump Data
A functional automated Exploratory Data Analysis system for Bosch heat-pump manufacturing data. It integrates AutoML, local LLM-based metadata enrichment, an ML Readiness metric and FAIR data-maturity reporting, and was tested with real Nexeed MES datasets from Bosch.
| Version: 1.1 | Sector(s): Manufacturing | Application Scope(s): Bosch Thermotechnology |
| Metadata Model | Batch Data | Real-Time Data | LLM Usage | |
|---|---|---|---|---|
| Data Capabilities | agnostic | OK | X | needed |
| Web App | Control Tower | REST API | Containerized | |
|---|---|---|---|---|
| Integration | OK | X | OK | OK |
IL3.1B - Manufacturing Process Factor Modelling System
A functional web application for filtering, selecting and analysing Nexeed MES datasets to model internal manufacturing-process factors such as sensor variations, assembly errors and rework. The system is integrated in the Control Tower and was tested with real batch data from the Cacia production line.
| Version: 1.1 | Sector(s): Manufacturing | Application Scope(s): Bosch Thermotechnology |
| Metadata Model | Batch Data | Real-Time Data | LLM Usage | |
|---|---|---|---|---|
| Data Capabilities | Bosch NEXEED | OK | X | X |
| Web App | Control Tower | REST API | Containerized | |
|---|---|---|---|---|
| Integration | OK | X | X | OK |
IL3.1C1 - Computer Vision System for Operator Ergonomics and Security
An edge-computing computer-vision system for operator ergonomics and security in industrial tasks. It includes danger-zone detection, task monitoring and picking navigation, and hand/glove tracking, with laboratory validation under a Bosch-defined case study.
| Version: 1.1 | Sector(s): Manufacturing | Application Scope(s): Bosch Thermotechnology |
| Vision | Env. Sensors | TPU | Privacy | |
|---|---|---|---|---|
| Prototype/Edge | OK | X | (optional) | full |
| Web App | Control Tower | REST API | Containerized | |
|---|---|---|---|---|
| Integration | OK | via IoT platform | X | OK |
IL3.1C2 - Computer Vision System for Task Quality Control
An edge-computing computer-vision system for operator ergonomics and security in industrial tasks. It includes danger-zone detection, task monitoring and picking navigation, and hand/glove tracking, with laboratory validation under a Bosch-defined case study.
| Version: 1.1 | Sector(s): Manufacturing | Application Scope(s): Bosch Thermotechnology |
| Vision | Env. Sensors | TPU | Privacy | |
|---|---|---|---|---|
| Prototype/Edge | OK | X | (optional) | full |
| Web App | Control Tower | REST API | Containerized | |
|---|---|---|---|---|
| Integration | OK | via IoT platform | X | OK |
IL3.1D - Environmental Variable Modelling for Production Tests
A time-series analysis web application for modelling environmental variables that influence heat-pump production tests. The system analyses sensor data such as pressure, temperature and humidity and is integrated into the GRCA framework and Control Tower.
| Version: 1.1 | Sector(s): Manufacturing | Application Scope(s): Bosch Thermotechnology |
| Vision | Env. Sensors | TPU | Privacy | |
|---|---|---|---|---|
| Prototype/Edge | X | Several | X | N.A. |
| Web App | Control Tower | REST API | Containerized | |
|---|---|---|---|---|
| Integration | OK | via IoT platform | X | OK |
IL3.1E - Integrated Fault Diagnosis Supervisor
An integrated microservices-based supervisor for failure diagnosis and Root Cause Analysis. The system aggregates the #3.1A–#3.1D modules, runs on the AIDI high-performance server, receives real Bosch data via API, and includes Belief Propagation modules for interpretable Root Cause Analysis.
| Version: 1.1 | Sector(s): Manufacturing | Application Scope(s): Bosch Thermotechnology |
| Metadata Model | Batch Data | Real-Time Data | LLM Usage | |
|---|---|---|---|---|
| Data Capabilities | Bosch NEXEED | X | OK | X |
| Web App | Control Tower | REST API | Containerized | |
|---|---|---|---|---|
| Integration | X | OK | X | OK |
IL3.2A - PEPELP Smart Workbench for Production-Line Trials
A physical reduced-scale production-line trial prototype, designated Smart Workbench, assembled and operational at AIDI. It combines object detection, human and hand movement tracking, edge sensing and retroprojection with visual feedback.
| Version: 1.1 | Sector(s): Manufacturing | Application Scope(s): Bosch Thermotechnology |
| Vision | Env. Sensors | TPU | Privacy | |
|---|---|---|---|---|
| Prototype/Edge | OK | X | needed | full |
| Web App | Control Tower | REST API | Containerized | |
|---|---|---|---|---|
| Integration | OK | X | OK | OK |
IL3.2D - PAPDT Data Storage and Processing Platform
A high-volume trial-data storage and processing platform supported by a high-performance server at AIDI. It uses noSQL storage, asynchronous batch processing, a Python API for algorithm integration, a web monitoring interface and AnyLogic-based real-time production-line simulation.
| Version: 1.1 | Sector(s): Manufacturing | Application Scope(s): Bosch Thermotechnology |
| Metadata Model | Batch Data | Real-Time Data | LLM Usage | |
|---|---|---|---|---|
| Data Capabilities | agnostic | OK | OK | X |
| Web App | Control Tower | REST API | Containerized | |
|---|---|---|---|---|
| Integration | X | OK | several | OK |
IL3.3A - SPPF High-Accuracy Spare-Parts Forecasting Platform
A Docker microservices platform for forecasting spare-parts consumption. It includes a forecast database, REST API, periodic hyperparameter retraining and theoretical components validated in international scientific publications, and is fed by SAP/Bosch APIs.
| Version: 1.1 | Sector(s): Manufacturing | Application Scope(s): Bosch Thermotechnology |
| Metadata Model | Batch Data | Real-Time Data | LLM Usage | |
|---|---|---|---|---|
| Data Capabilities | agnostic | OK | X | X |
| Web App | Control Tower | REST API | Containerized | |
|---|---|---|---|---|
| Integration | OK | X | OK | OK |
IL3.3B - Repair Recommendation API
A Python web application supporting product-design teams through product dashboards, forecasts and model rankings. It includes news-based time-series enrichment using local LLaMA extraction and sentiment analysis, and is integrated with the Control Tower and real data feeds.
| Version: 1.1 | Sector(s): Manufacturing | Application Scope(s): General |
| Metadata Model | Batch Data | Real-Time Data | LLM Usage | |
|---|---|---|---|---|
| Data Capabilities | specific | OK | X | X |
| Web App | Control Tower | REST API | Containerized | |
|---|---|---|---|---|
| Integration | X | X | OK | OK |
IL3.3C - Processes Reconstruction for Workflow Analysis and Bottleneck Detection
A Python web application supporting product-design teams through product dashboards, forecasts and model rankings. It includes news-based time-series enrichment using local LLaMA extraction and sentiment analysis, and is integrated with the Control Tower and real data feeds.
| Version: 1.1 | Sector(s): Administrative | Application Scope(s): General |
| Metadata Model | Batch Data | Real-Time Data | LLM Usage | |
|---|---|---|---|---|
| Data Capabilities | email-based | X | OK | needed |
| Web App | Control Tower | REST API | Containerized | |
|---|---|---|---|---|
| Integration | OK | X | OK | OK |
NX2P01 - Predition and Optimization of Transport Fleet Arrivals Times
An interactive web platform (and Control Tower component) for managing, predicting, optimizing, and analyzing transport fleet arrivals into a geographic destination. It enables mobile apps (or fleet managers)to configure arrival windows, routes, speeds, and travel conditions, compare robust and flexible scheduling strategies, and stress-test performance under traffic and weather disruptions using Monte Carlo simulations.
| Version: 1.1 | Sector(s): General | Application Scope(s): General |
NXW2.1P01 - Real-Time Maritime Control Tower
The Control Tower module, together with two 98 inches screens and two Mac minis, allows to visually glue together several other products, serving as an unified operational intelligence platform that integrates multiple maritime analytics, optimization, simulation, and monitoring solutions into a single real-time environment.
| Version: 1.3 | Sector(s): Logistics | Application Scope(s): General |
| Web App | Control Tower | REST API | Containerized | |
|---|---|---|---|---|
| Integration | X | OK | X | X |
NXW2.1P02 - Quay Crane Efficiency Benchmarking Tool
A web-based interactive tool for benchmarking quay crane efficiency using Multi-directional Efficiency Analysis (MEA), visual analytics, and a conversational AI assistant. It helps port managers compare equipment performance, identify variable-level inefficiency drivers, explore operational trends, and obtain natural language decision support without requiring expertise in efficiency analysis methods. This tool can be used to measure efficient of other types of port equipment.
| Version: 1.1 | Sector(s): Logistics | Application Scope(s): Terminal XXI (Port of Sines) |
| Metadata Model | Batch Data | Real-Time Data | LLM Usage | |
|---|---|---|---|---|
| Data Capabilities | agnostic | OK | X | (optional) |
| Web App | Control Tower | REST API | Containerized | |
|---|---|---|---|---|
| Integration | OK | X | OK | OK |
NXW2.1P03 - High-Fidelity Digital Twin for Container Terminals
A detailed and extensive Digital Twin for modeling container terminal operations based on Discrete-Event Simulation, battery (dis)charge equations and optimal pilling techniques, completely implemented in Python by the Team. The tool enables terminal planners, port authorities, and researchers to configure scenarios, simulate integrated quayside, yardside, and landside flows, compare up to five operational scenarios, evaluate KPIs with replications and confidence intervals, and test resilience under crane failures, battery constraints, gate capacity limits, rail operations, and adverse weather disruptions.
| Version: 1.1 | Sector(s): Logistics | Application Scope(s): Terminal XXI (Port of Sines) |
| Metadata Model | Batch Data | Real-Time Data | LLM Usage | |
|---|---|---|---|---|
| Data Capabilities | specific | OK | OK | X |
| Web App | Control Tower | REST API | Containerized | |
|---|---|---|---|---|
| Integration | OK | OK | OK | OK |
NXW2.1P04 - Smart and Trustworthy Root Cause Analysis Tool for Maritime Ports
A web-based application that combines machine learning and explainable AI to predict, explain, and improve operational performance. Users can upload datasets, train predictive models, perform root cause analysis, and obtain actionable recommendations through interactive SHAP, PDP, and ICE visualizations. The platform supports both regression and classification problems, integrates real-time weather data, and provides prescriptive guidance for logistics and port operations.
| Version: 1.1 | Sector(s): Logistics | Application Scope(s): Port of Sines |
| Metadata Model | Batch Data | Real-Time Data | LLM Usage | |
|---|---|---|---|---|
| Data Capabilities | agnostic | OK | X | X |
| Web App | Control Tower | REST API | Containerized | |
|---|---|---|---|---|
| Integration | OK | X | X | X |
NXW2.1P05 - Real-time Vessel Berth Optimal Makespan Scheduling System
An intelligent decision-support system, integrate in the Control Tower, that optimizes berth allocation and quay crane assignment to minimize the overall handling durations at container terminals. The system integrates real-time vessel position data through external APIs, predicts sailing time from anchorage to berth, estimates terminal operation durations, and considers quay crane availability, vessel dimensions, and operational constraints. Advanced optimization algorithms generate globally efficient schedules and resource allocations, enabling terminal operators to reduce waiting times, improve berth utilization, increase operational throughput, and enhance the overall efficiency and resilience of port operations. The system can also compute vessels collision risks.
| Version: 1.1 | Sector(s): Logistics | Application Scope(s): Port of Sines |
| Metadata Model | Batch Data | Real-Time Data | LLM Usage | |
|---|---|---|---|---|
| Data Capabilities | specific | X | OK | X |
| Web App | Control Tower | REST API | Containerized | |
|---|---|---|---|---|
| Integration | X | OK | OK | OK |
NXW2.1P06 - Vessel-Terminal Real-time Operations Monitoring
A web-based port terminal monitoring and real-time visualization tool for Terminal XXI at the Port of Sines. The application visualizes (in real-time and for a specific time period) vessel arrivals, vessels in queue and in the berth, quay crane availability and service status, berth occupancy and estimated waiting time through an operations dashboard.
| Version: 1.1 | Sector(s): Logistics | Application Scope(s): Port of Sines |
| Metadata Model | Batch Data | Real-Time Data | LLM Usage | |
|---|---|---|---|---|
| Data Capabilities | specific | X | OK | X |
| Web App | Control Tower | REST API | Containerized | |
|---|---|---|---|---|
| Integration | OK | OK | OK | OK |
NXW2.1P07 - Container Flow Monitoring, Prediction, and Disruption
An intelligent analytics platform for monitoring and predicting container movements inside port terminals and interfacing logistics networks. It ingests real-time container events through MQTT, classifies flows into Import, Export, and Transshipment operations, and predicts container dwell times. The platform includes an innovative anomaly detection index based on Algebraic Topology, developed by the team, to identify disruptions and emerging operational risks worldwide. Integrated with a Control Tower, it provides interactive visualizations, real-time situational awareness, predictive insights, and early-warning capabilities to support data-driven operational and strategic decisions.
| Version: 1.1 | Sector(s): Logistics | Application Scope(s): Terminal XXI (Port of Sines) |
| Metadata Model | Batch Data | Real-Time Data | LLM Usage | |
|---|---|---|---|---|
| Data Capabilities | specific | X | OK | X |
| Web App | Control Tower | REST API | Containerized | |
|---|---|---|---|---|
| Integration | partial | OK | X | OK |
NXW2.1P09 - Port Continuous Improvement Report
…
| Version: 1.1 | Sector(s): Logistics | Application Scope(s): Port of Sines |
| Metadata Model | Batch Data | Real-Time Data | LLM Usage | |
|---|---|---|---|---|
| Data Capabilities | agnostic | OK | X | X |
| Web App | Control Tower | REST API | Containerized | |
|---|---|---|---|---|
| Integration | OK | X | X | OK |
NXW2.1P10 - SeePort Dashboard
…
| Version: 1 | Sector(s): Logistics | Application Scope(s): Port of Sines |
| Metadata Model | Batch Data | Real-Time Data | LLM Usage | |
|---|---|---|---|---|
| Data Capabilities | specific | OK | X | X |
| Web App | Control Tower | REST API | Containerized | |
|---|---|---|---|---|
| Integration | OK | X | X | X |
NXW2.1PXX -
…
| Version: 1.1 | Sector(s): Logistics | Application Scope(s): General |
| Metadata Model | Batch Data | Real-Time Data | LLM Usage | |
|---|---|---|---|---|
| Data Capabilities | agnostic | OK | X | (optional) |
| Web App | Control Tower | REST API | Containerized | |
|---|---|---|---|---|
| Integration | OK | X | OK | OK |
NXW2.2P01 - Real-Time Haulier Capacity Tracking
A Control Tower component that provides real-time visibility of truck movements and transport capacities across Portugal. Using MQTT event processing and AnyLogic-based simulation technologies, the platform continuously tracks vehicle locations, identifies whether trucks are operating loaded or empty, and monitors fleet utilization patterns. Designed as a companion solution to the Haulier Capacities Prediction Platform, it delivers interactive visualizations, operational KPIs, and live situational awareness to support transport planning, capacity optimization, and logistics coordination.
| Version: 1.1 | Sector(s): Logistics | Application Scope(s): General |
| Metadata Model | Batch Data | Real-Time Data | LLM Usage | |
|---|---|---|---|---|
| Data Capabilities | specific | X | OK | X |
| Web App | Control Tower | REST API | Containerized | |
|---|---|---|---|---|
| Integration | X | OK | X | X |
NXW2.2P02 - Haulier Capacity Prediction Platform
An AI-powered forecasting platform designed to accurately predict haulier capacity availability and transport demand in highly sparse, zero-inflated time series where conventional machine learning models typically fail. The platform incorporates a novel set of meta-ranking algorithms developed by the team to intelligently select and combine forecasting models, significantly improving prediction accuracy and robustness. It supports strategic planning, resource allocation, and demand management across logistics networks. The platform also serves as a companion API for the Real-Time Haulier Capacities Tracking system, enabling seamless integration between predictive and operational decision-support capabilities.
| Version: 1.1 | Sector(s): Logistics | Application Scope(s): General |
| Metadata Model | Batch Data | Real-Time Data | LLM Usage | |
|---|---|---|---|---|
| Data Capabilities | specific | OK | X | X |
| Web App | Control Tower | REST API | Containerized | |
|---|---|---|---|---|
| Integration | OK | X | OK | OK |
NXW5.4P01 - Prediction and Optimization of Transport Fleet Arrival Times
An interactive web platform (and Control Tower component) for managing, predicting, optimizing, and analyzing transport fleet arrivals into a geographic destination (e.g., a gate). It enables fleet managers to configure arrival windows, routes, speeds, and travel conditions, compare robust and flexible scheduling strategies, and stress-test performance under traffic and weather disruptions using Monte Carlo simulations. Users may use a mobile app to access the recommend optimized results.
| Version: 1.1 | Sector(s): Logistics | Application Scope(s): General |
| Metadata Model | Batch Data | Real-Time Data | LLM Usage | |
|---|---|---|---|---|
| Data Capabilities | specific | OK | OK | X |
| Web App | Control Tower | REST API | Containerized | |
|---|---|---|---|---|
| Integration | OK | OK | OK | X |
NXW5.4P02 - Green Cargo Quotation System
A multimodal freight quotation engine that identifies the optimal cargo transportation alternatives based on cost, CO₂ emissions, and transit time. Through a set of interoperable APIs, it evaluates direct and multi-leg routes across maritime and inland transport networks, including complex paths such as A→B→C. The platform integrates with external logistics providers through specialized plugins, enabling access to vessel schedules, freight rates, and inland transportation services. Designed for seamless integration into logistics ecosystems, it delivers sustainable, data-driven cargo quotations without requiring a dedicated user interface.
| Version: 1.1 | Sector(s): Logistics | Application Scope(s): General |
| Metadata Model | Batch Data | Real-Time Data | LLM Usage | |
|---|---|---|---|---|
| Data Capabilities | plugin | X | OK | X |
| Web App | Control Tower | REST API | Containerized | |
|---|---|---|---|---|
| Integration | X | X | OK | OK |
UA01 - Smart Specialized World News and Events
An AI-powered intelligence platform that continuously monitors global news, events, and data sources to identify developments that may impact port and maritime operations. Using large language models and customizable topic definitions, it automatically discovers, filters, summarizes, and categorizes relevant RSS news and alerts, including piracy incidents, geopolitical conflicts, weather disruptions, labor strikes, supply chain events, and regulatory changes. Managers can define their areas of interest, receiving timely, actionable intelligence through an integrated dashboard or Control Tower to support risk assessment, operational planning, and strategic decision-making.
| Version: 1.1 | Sector(s): Logistics | Application Scope(s): General |
| Metadata Model | Batch Data | Real-Time Data | LLM Usage | |
|---|---|---|---|---|
| Data Capabilities | agnostic | X | OK | needed |
| Web App | Control Tower | REST API | Containerized | |
|---|---|---|---|---|
| Integration | OK | OK | OK | OK |