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Use CasesField guide / 202606 sectors · 13 records

Where weapply AI

Edge intelligence, domain-specific models, and production platforms — applied to real problems in regulated, real-world environments. Each use case below is grounded in systems we have shipped or capabilities we deploy today.

Cross-sector systemPlate 01 / 06
Cross-sector intelligence architectureSix sector inputs connect through data, model, and deployment layers to produce measurable outcomes.010203040506DATA / MODEL / SYSTEM
One engineering practiceSix operating contexts, joined by production constraints.
Chapter / 0103 use-case records

Manufacturing & Industry

Edge AI deployed on the factory floor — where latency, reliability, and data sovereignty are non-negotiable.

  1. Computer Vision · Edge

    Visual Quality Inspection

    Camera-based defect detection running directly on the production line. Fine-tuned vision models identify surface defects, assembly errors, and dimensional deviations in real time — without sending sensitive production data to the cloud.

    Capabilities04 specifications
    • Real-time defect detection at line speed
    • On-premise inference for full data sovereignty
    • Fine-tuning on domain-specific defect catalogs
    • Operator dashboards with visual audit trails

    OutcomeFewer escaped defects, less manual inspection, faster root-cause analysis.

  2. Time-Series Forecasting

    Predictive Maintenance

    Sensor data from motors, pumps, and machine tools transformed into early failure warnings. Time-series models learn each asset's healthy baseline and flag drift before it becomes downtime.

    Capabilities04 specifications
    • Anomaly detection on vibration, temperature, and current signals
    • Remaining-useful-life estimation per asset
    • Integration with existing SCADA and MES systems
    • Alerting tuned to maintenance team workflows

    OutcomeUnplanned downtime replaced by scheduled interventions.

  3. Industrial Analytics

    Process Optimization

    Production parameters, energy consumption, and throughput analyzed as one system. Models surface the settings that drive yield and efficiency, giving process engineers evidence instead of intuition.

    Capabilities04 specifications
    • Multivariate analysis across process parameters
    • Energy consumption profiling and optimization
    • What-if simulation for parameter changes
    • Continuous learning from production feedback

    OutcomeHigher yield and lower energy cost from the same equipment.

Chapter / 0202 use-case records

Healthcare & Life Sciences

GDPR-compliant platforms and AI workflows for clinical environments — built with the auditability regulated care demands.

  1. Healthcare Platform

    Clinic Operations Platform

    Multi-clinic management with role-based access for reception, doctors, administrators, and patients. Appointment scheduling, patient records, and clinic-wide analytics in one secure system — proven in production with CentreDesk.

    Capabilities04 specifications
    • Role-based dashboards for every user type
    • Appointment scheduling and patient record management
    • Clinic analytics and administrative reporting
    • GDPR-compliant architecture with secure authentication

    OutcomeFront desk, clinical, and admin workflows unified without paper trails.

  2. Document AI

    Clinical Document Intelligence

    Referral letters, discharge summaries, and intake forms processed automatically. Language models extract structured data from unstructured clinical text, routing documents to the right workflow and pre-filling records.

    Capabilities04 specifications
    • Structured extraction from unstructured clinical documents
    • Automated routing and triage of incoming referrals
    • Human-in-the-loop review for every extraction
    • On-premise deployment options for sensitive data

    OutcomeHours of manual data entry reduced to review-and-confirm.

Chapter / 0302 use-case records

Fashion & Retail

Generative AI and visual intelligence for brands — from content creation to catalog quality control, proven at production scale.

  1. Generative AI

    AI Content Generation

    Professional fashion photography generated in minutes instead of weeks. Real garments blended onto digital twins of real models, with full control of styling, location, and mood — the system behind Stoodio.ai, built on legally compliant model rights.

    Capabilities04 specifications
    • Digital twin model casting from a global database
    • Multi-garment upload with mood board creation
    • Best-in-class generation via Flux, Magnific AI, Kling, and OpenAI
    • Legally compliant model rights management

    OutcomePhotoshoot-quality campaign content at a fraction of the cost and lead time.

  2. Aesthetic Analysis API

    Visual Catalog Intelligence

    Every image in a catalog rated, tagged, and screened with a single API call. CLIP ViT-B/16 fine-tuned on 148K+ rated images delivers aesthetic scores, smart tags, content safety classification, and portfolio gating.

    Capabilities04 specifications
    • 0–100 aesthetic scoring with Low / Medium / High classification
    • Zero-shot smart tagging via Google SigLIP
    • Content safety screening: Safe / Revealing / Suggestive / NSFW
    • Portfolio gate rejecting screenshots and unusable images

    OutcomeConsistent catalog quality enforced automatically, at API speed.

Chapter / 0402 use-case records

Sports & Performance

Computer vision that turns raw game footage into coaching decisions — player tracking, biomechanics, and comparison at a glance.

  1. Computer Vision

    Game Video Analysis

    Annotated match video with real-time player overlay and per-player action tracking. Coaching staff see who did what, when, and how well — without hours of manual tagging. Deployed in production with Volley Coach AI.

    Capabilities04 specifications
    • Automated player detection and action recognition
    • Annotated video overlay with toggleable player masks
    • Per-player action tracking and scoring
    • Side-by-side comparison of 2–4 players

    OutcomeManual video review replaced by searchable, scored game data.

  2. Sports Analytics

    Biomechanics & Player Development

    Movement quality quantified from video alone. Biomechanics radar charts and composite scores make individual development measurable across a season — for players, coaches, and scouts.

    Capabilities04 specifications
    • Pose estimation and movement quality metrics
    • Biomechanics radar per player and action type
    • Composite scoring for longitudinal tracking
    • Comparison views for selection and scouting

    OutcomePlayer development tracked with evidence, not impressions.

Chapter / 0502 use-case records

Research & Public Funding

Grant intelligence and research infrastructure for institutions navigating Horizon Europe and multi-year consortium programs.

  1. Grant Intelligence

    Grant Proposal Intelligence

    AI-powered evaluation trained on hundreds of Horizon Europe abstracts and evaluator reports. Instant abstract reviews with actionable recommendations aligned to what evaluators actually reward — live at EU Grants AI Agent.

    Capabilities04 specifications
    • Instant abstract review against evaluator criteria
    • Actionable recommendations to raise scores
    • Trained on real Horizon Europe evaluation data
    • Funding call discovery with deadline tracking

    OutcomeProposal quality raised before submission, not learned from rejection.

  2. Research Infrastructure

    Research Program Management

    End-to-end management for multi-stakeholder research programs. Project tracking, milestone management, and reporting workflows built for consortia with distributed teams — the foundation of Garuda RPM.

    Capabilities04 specifications
    • Project and milestone tracking with timeline views
    • Multi-stakeholder collaboration and permissions
    • Reporting workflows for consortium programs
    • Role-based access across organisations

    OutcomeMulti-year, multi-partner programs run without spreadsheet chaos.

Chapter / 0602 use-case records

Training & Education

Serious games and gamified simulation — purposeful play applied to workforce training, engagement, and behavior change.

  1. Serious Games

    Serious Games for Training

    Simulation-based learning environments where teams practice high-stakes decisions safely. Game mechanics drive engagement while embedded analytics measure real skill progression — from industrial safety to soft-skill scenarios.

    Capabilities04 specifications
    • Scenario-based simulation of real work situations
    • Skill progression analytics for trainers
    • Adaptive difficulty tuned to learner performance
    • Deployment on web, desktop, or classroom hardware

    OutcomeTraining that people finish — with measurable skill transfer.

  2. Gamification

    Gamified Behavior Change

    Engagement loops applied to health, sustainability, and organisational change programs. Progress systems, challenges, and feedback mechanics designed around behavioral research — not badges for their own sake.

    Capabilities04 specifications
    • Engagement loop design grounded in behavioral research
    • Progress systems, challenges, and social mechanics
    • A/B-tested mechanics with retention analytics
    • Integration into existing apps and platforms

    OutcomeSustained participation where campaigns and mandates fail.

Your use caseOpen brief / 07

NOT ON THIS LIST?

Most of our best work started as a problem that did not fit an existing category. If you have data, a process, or a decision that AI should be making better — tell us about it.

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