Success Stories
Within ALGOVIA's global ecosystem, DAC Digital is our strategic AI specialist partner. The credentials below showcase work designed and delivered by DAC Digital for clients globally in AI, computer vision, data, IoT and beyond. Through our partnership, ALGOVIA brings this proven capability to clients in the Middle East and Australia. We combine it with our own transformation expertise as one integrated team, with ALGOVIA leading and accountable for every engagement in our markets.
See how we build what matters.
Algovia AI works with Boards and Executive teams across governments and public institutions, delivering AI transformation programs with the governance, accountability, and sector expertise that public-sector mandates require.
Financial ServicesBills, subscriptions, scam messages, and other financial events arrived in inconsistent formats that were hard to track. Kinage needed a functional MVP fast, to test with users, demonstrate value to investors, and support rapid iteration.
View case studyAlgovia AI brings AI transformation and execution to oil & gas, mining, power, and utility operators — edge AI, computer vision, and IoT solutions built for industrial safety and precision operations.
Technology, Media & TelecomTalkTwelve, an employment-law service, received open-ended client enquiries that often lacked key facts. Solicitors spent over 60 minutes per case gathering information before a consultation could begin.
View case studyInvisible runs a Databricks medallion architecture processing data across raw, cleaning, and business-ready layers. As the platform scaled, pipeline failures went undetected and cloud costs accumulated without attribution.
View case studyManual inspection of fibre optic cable installations was slow, labour-intensive, and prone to inconsistency, creating significant delays in compliance and deployment timelines.
View case studyPoor audio quality remains a cross-industry issue. Most tools simply remove noise using discriminative methods; results can be satisfactory but not category-defining.
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Real EstateEazli's early prototype could handle only simple, single-service requests. It could not break complex needs into tasks, activate the right specialists, or give management visibility into service quality and AI costs.
View case studyConstruction project managers needed a single, reliable source of truth for on-site progress, allowing them to inspect, spot issues, and make decisions faster, even miles away from site.
View case studyThe nursing device needed reliable links to patient-side equipment, clearer remote consultations, and better power management, while preserving clinical function and avoiding unnecessary recertification.
View case studyBiliary atresia and related conditions can first appear as changes in stool colour. The product needed to convert parent-captured photos into a reliable screening signal, without requiring any medical knowledge from users.
View case studyDiagnosing infantile spasms in toddlers is difficult due to the subtle and sporadic nature of seizures, often leading to delays in treatment and severe long-term consequences.
View case studyTraditional lab pathways can delay antibiotic treatment decisions by days. The workflow needed to combine patient, diagnostic, and guideline inputs into one practical interface without specialist lab hardware.
View case studyFamilial hypercholesterolaemia patients needed accessible information, adherence support, and easier study participation, while clinical teams needed structured registration without adding manual coordination work.
View case studyIdentifying the underlying cause or subtype of a stroke from microscopic tissue images is a complex research challenge, requiring rigorous image curation, standardized preprocessing, and specialized deep-learning development.
View case studyAlgovia Academy extends our AI training capability into a standing, ongoing programme — from Executive & Board AI Literacy to Practitioner Training and Technical Upskilling.
The dairy industry has long relied on manual route planning and limited real-time monitoring, with poor communication between dairy plants, farmers, and drivers hindering optimization of the milk supply chain.
View case studyIndustrial sites needed earlier warning of unsafe physiological and environmental conditions. The wearable had to analyse time-critical signals on constrained hardware, while central teams still needed history, alerts, and reporting.
View case studyAutonomous operation of forestry vehicles can only be planned at scale if the health, species, and condition of individual trees is known and precisely located.
View case studyVineyard managers across the Iberian Peninsula needed real-time, data-driven monitoring of vine maturity, disease, and yield anomalies without relying on continuous cloud connectivity.
View case studySTIHL experimented with LLMs and low-code tools without a centralized adoption plan. After dozens of fragmented initiatives, the enterprise wanted to organize its data, select the right AI use cases, and protect against data leaks.
View case studyCloud-only processing does not suit production lines that are air-gapped, security-sensitive, or dependent on immediate machine-level decisions.
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Retail & ManufacturingProhan, a hardwood furniture maker, faced costly defects: cracks and gaps only tenths of a millimetre wide, invisible to the human eye. With 5% of glued panels discarded, defects caused a €40K monthly loss.
View case studyReflective gold, gemstones, and variable lighting make automated authentication difficult. Gold Guard needed evidence that a handheld authentication device was technically achievable, plus a credible investor roadmap.
View case studyPNK Group aimed to reduce defects in precast concrete manufacturing by improving detection of geometric inaccuracies, misalignments, and surface defects traditionally reliant on error-prone manual inspection.
View case studyAltana, a global leader in specialty chemicals, needed an automated solution to ensure color consistency and detect imperfections like air bubbles, reducing defects and improving customer satisfaction.
View case studyAn edible oil producer operates a high-speed line at 270 bottles per minute. Manual quality control was labour-intensive and costly, needing real-time defective cap detection.
View case study10Beauty set out to automate applying nail polish and preparing nails, requiring a robust computer vision system for precise 3D hand positioning and nail segmentation across diverse skin tones.
View case studySenior engineers manually reviewed CAD drawings and specifications, translated requirements into configurations, and built bills of materials and pricing by hand — a slow process exposed to configuration errors and margin leakage.
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Practical AI, shaped around your challenges and built to deliver value.