Success stories

Applied AI, measurable impact

A selection of Epsilon AI Analytics projects — each engineered, deployed, and refined to deliver tangible business value. Open any case for the full story.

Predictive maintenance for 3D-printing equipment

Zylo3D · Manufacturing / 3D Printing

−35% Downtime

+40% Maintenance efficiency

−30% Operational cost

AI + a RAG system (BM25 / GPT-4) and BERT/RoBERTa forecast failures and deliver real-time repair guidance.

Read case

Real-time data warehouse & ML platform

AIT · Manufacturing / Industrial Data Platform

−70% Query latency

+50% Analytics accuracy

+40% Behavior prediction

Migrated SQL Server → Google BigQuery with Kafka CDC streaming and machine-learning models on Kubernetes.

Read case

ConstructINS — AI construction management

Rowad Modern Engineering (RME) & EgySmart · Construction / Engineering

Pilot

−35% Project cost

+30% Operational efficiency

−25% Resource downtime

+28% On-time delivery

One live intelligence layer for schedule, cost, procurement, resources and safety — implemented and tested on Rowad Modern Engineering (RME) & EgySmart projects.

Read case

DeepSight video intelligence platform

Security & Law Enforcement · Public Safety / Security Analytics

−90% Manual review labor

YOLO object detection, searchable video metadata, and anomaly alerts integrated with existing VMS.

Read case

RAG enterprise knowledge assistant

Government Sector · Government / Industrial Licensing

−80% Retrieval time

Fact-grounded multilingual answers via RAG, OCR pipelines, and semantic vector search — integrated with BI/CRM.

Read case

Voice agent for inbound call handling

Mogassam · Contact centre operations

86.7% Calls contained

A voice agent that answers in the caller's own dialect and resolves the enquiry end to end, handing over to a person only when it cannot.

Read case

Accident analysis & liability assessment

Government & Insurance · Transportation / LegalTech / Insurance

−70% Investigation time

YOLOv8 vehicle validation, deep-learning damage assessment, and rules-based liability — claims in hours, not weeks.

Read case

AI product recommendation engine

NUT Botanicals · E-Commerce / Retail

+25% Average order value

+40% Customer retention

−20% Acquisition cost

RFM segmentation and behavior models personalize recommendations and lift sales.

Read case

Multilingual customer sentiment engine

NUT Botanicals · Consumer Feedback / Marketing

+30% Customer satisfaction

+25% Product quality

−20% Complaint volume

Naive Bayes, SVM, and BERT classify feedback across social media, e-commerce, and surveys.

Read case

ImageTwin image-similarity analysis

Forensics · E-commerce · IP · Forensics / Visual Search / Legal Tech

−90% Manual image search

CLIP/ViT embeddings with FAISS/Annoy nearest-neighbor search for instant forensic image matching.

Read case

Supply-chain & predictive-maintenance solutions

MB Engineering Group · Supply chain / Manufacturing

3 Systems implemented & tested

Three AI systems implemented and tested — SupplyCha.INS, ManufactINS and an offline Epsilon assistant — alongside AI training for the group.

Read case

Innovation & global participation at CES 2025

CTA — Consumer Technology Association (CES) · Global tech · CES 2025, Las Vegas

CES ’25 Global participation

Recognized by the Consumer Technology Association for contribution to AI, data science and automation at CES 2025.

Outstanding participation and contribution to AI and emerging-technology advancement at CES 2025. — CTA — Consumer Technology Association (CES)

Read case

Case studies

Proof, in the field

Real pilots and engagements where Epsilon AI turned data into outcomes across construction, industry, and supply chain.

ConstructINS implementation

Rowad Modern Engineering (RME) & EgySmart

Implemented & tested

Challenge: Rowad Modern Engineering (RME) and EgySmart needed earlier visibility into delay risk, cost variance, and site safety — across data scattered between ERP, schedules, and the field.
Solution: ConstructINS was deployed as an intelligence layer above existing systems, adding predictive scheduling, AI cost forecasting, and computer-vision safety overlays.
Outcome: Implemented and tested with Rowad Modern Engineering (RME) and EgySmart, giving executives earlier, data-backed foresight on schedule and cost.

Supply chain & predictive maintenance

MB Engineering Group

3 AI systems implemented & tested

Challenge: MB Engineering Group explored where AI could most improve supply-chain operations and asset reliability across its logistics and industrial activities.
Solution: Epsilon implemented and tested SupplyCha.INS for supply-chain intelligence, ManufactINS for predictive maintenance, and an offline 'Epsilon Bot' assistant — and trained the teams who use them.
Outcome: Three AI systems implemented and tested for MB Engineering Group, covering use cases from supply chain to plant-floor maintenance.

Selected pilots and engagements from across our products and corporate training.

On the ground

Platforms in the field

Corporate collaborations and the events, expos and enterprise floors where our platforms were shown, demoed and deployed — corporate proof first. Open any tab for the full set.

Corporate collaborations 17