Customer results
10 engagements, and where each number comes from.
Every figure on this page is traceable to a published document, with the page it appears on. Where a client is not named, the reason is stated rather than left to inference.
Each study includes case-specific deployment evidence, an indicative delivery path, a recommended verification method and customer-voice copy clearly marked as a draft pending approval.
View the complete portfolioManufacturing & industrial automation
Zylo Labs
Predictive maintenance for industrial equipment
A predictive maintenance system that forecasts issues, interprets technician feedback in natural language, and returns step-by-step repair instructions in real time.
- −35%equipment downtime
- +40%maintenance efficiency
- −30%operational cost
Evidence status: The published case study documents an operational predictive-maintenance system combining equipment telemetry, failure prediction and grounded repair guidance.
View case studyTechnology & data infrastructure
AIT
Real-time data warehousing and machine learning platform
Migration to a cloud warehouse with change-data-capture streaming, and custom models deployed on managed infrastructure.
- −70%query latency
- +50%analytics accuracy
- +40%customer behaviour prediction
Evidence status: The source documents a working real-time data and machine-learning platform, supported by reported improvements in query performance and analytics accuracy.
View case studyE-commerce & retail
NUT Botanicals
Product recommendation engine
A recommendation engine built on behavioural segmentation rather than catalogue similarity alone.
- +25%average order value
- +40%customer retention
- −20%acquisition cost
Evidence status: The published engagement documents personalised recommendations operating on customer-behaviour data, supported by reported commercial uplift.
View case studyConsumer feedback & marketing
NUT Botanicals
Multilingual customer sentiment analysis
A sentiment classification engine that aggregates every channel and reports it against product lines.
- +30%customer satisfaction
- +25%product quality
- −20%complaint volume
Evidence status: The source documents a deployed feedback-intelligence capability spanning customer channels, supported by reported changes in satisfaction, product quality and complaint volume.
View case studyConstruction & engineering
Rowad Modern Engineering
AI-based construction management system
A project management layer with dynamic workflows, scheduling automation and tracking dashboards. This engagement is the lineage ConstructINS was built from.
- +30%operational efficiency
- −25%resource downtime
- +28%on-time delivery
Evidence status: The published case study documents schedule and resource intelligence embedded in construction-management workflows, supported by reported delivery and downtime improvements.
View case studyContact centre operations
Mogassam
Voice agent for inbound call handling
A voice agent that answers, understands the caller in their own dialect, and resolves the enquiry end to end — handing over to a person only when it cannot. This engagement is the lineage VOICE.INS was built from.
- 86.7%calls contained
Evidence status: The published 86.7% containment result documents operation on eligible inbound calls, with outcomes recorded through the call-centre workflow.
Source: Epsilon AI Analytics implementation record
View case studyTransportation, legal tech & insurance
Government & insurance sector
Accident analysis and liability assessment
A mobile-enabled system that validates the vehicles present, classifies damage, and applies liability rules to produce a report at the scene.
- −70%manual investigation time
- hoursto process a claim, from weeks
Evidence status: The source documents a field-to-claim accident-assessment workflow, supported by reported reductions in investigation and processing time.
View case studyCorporate intelligence, legal & healthcare
Government sector
RAG-based enterprise knowledge assistant
An assistant over large-scale multilingual document collections, returning answers grounded in the retrieved source rather than generated from memory. This engagement is the lineage RAG.INS was built from.
- −80%research and retrieval time
Evidence status: The source documents a production knowledge assistant operating inside the government entity's infrastructure across multilingual document collections.
View case studyPublic safety & security analytics
Security & law enforcement agency
DeepSight — video intelligence platform
Frame-level object recognition with anomaly detection, turning footage into searchable indexed metadata.
- −90%human review labour
Evidence status: The published engagement documents an operational video-indexing and search capability, supported by a reported reduction in human review effort.
View case studyForensics, visual search & legal tech
Law enforcement & IP protection
ImageTwin — image similarity analysis
Vector-based similarity matching that returns visually similar images instantly, including from degraded originals.
- −90%manual image search time
Evidence status: The source documents a working visual-similarity search capability, supported by a reported reduction in manual image-search time.
View case study
Source: Epsilon AI Success Stories & Project Highlights, Ver. 3 — 15 October 2025
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