Proven Results

Intelligence
In Action.

Five enterprise AI transformations. Real organizations. Measurable outcomes. Discover how RAGSOLIS AI turns complex challenges into competitive advantage.

$340M+
Client Value Created
67%
Avg. Cost Reduction
12x
Avg. Process Speed
94%
Client Satisfaction
AI DiagnosticsNLPComputer VisionMLOps
01

AI-Powered Clinical
Intelligence Platform

Pan-Regional Hospital Network · 47 Hospitals · UAE & KSA

A pan-regional hospital network spanning 47 facilities across UAE and Saudi Arabia faced critical challenges in clinical decision support. Radiologists were overwhelmed by imaging backlogs — average report turnaround time exceeded 72 hours. Patient records across facilities were siloed, preventing coordinated care. Medication errors cost the network $18M annually. Clinical staff spent 40% of their time on administrative documentation rather than patient care.

RAGSOLIS AI deployed a multi-modal clinical intelligence platform combining computer vision for medical imaging analysis, NLP for clinical note processing, and predictive models for adverse event detection. The NeuralCore platform automated 80% of routine documentation through voice-to-text with medical entity extraction. A unified patient knowledge graph connected records across all 47 facilities.

Vision Transformer (ViT) fine-tuned on 2.4M proprietary chest X-rays and CT scans for pneumonia, fracture, and tumor detection
Clinical BERT (BioBERT) fine-tuned for Arabic and English medical NLP — entity extraction, ICD-10 coding, and risk flagging
Gradient Boosting ensemble for 30-day readmission prediction and sepsis early-warning system
HIPAA-compliant MLOps pipeline on Azure Healthcare APIs with automated model drift monitoring and retraining
94%
Imaging AI Accuracy
12 min
Report Turnaround (from 72h)
$23M
Annual Cost Savings
76%
Reduction in Medication Errors
40%
More Clinical Time (vs. Admin)
18mo
Full ROI Payback Period

"RAGSOLIS AI transformed our clinical operations at a pace we didn't think possible. The imaging AI has become our radiologists' most trusted second opinion — and our patients are seeing better outcomes as a direct result."

— Chief Medical Officer, Regional Hospital Network
PyTorchViTBioBERTAzure Healthcare APIsMLflowFHIRFastAPIRedis
Predictive MaintenanceComputer VisionIoTEdge AI
02

Predictive Intelligence
for Smart Factories

Global Automotive Parts Manufacturer · 12 Factories · Germany, India & Mexico

An automotive components manufacturer operating 12 factories across three continents was losing $67M annually to unplanned equipment downtime. Quality defect rates reached 2.3% — driving significant warranty claims and customer penalties. Visual inspection lines employed 340 manual inspectors running 24/7 shifts. Maintenance was purely reactive — technicians replaced parts only after failure, causing cascading production halts lasting 8–40 hours per incident.

RAGSOLIS AI deployed InfraGrid edge AI nodes at each production line, combined with a computer vision quality inspection system and a predictive maintenance ML platform. 14,000 IoT sensors across all machines streamed real-time vibration, temperature, acoustic, and power consumption data. Multivariate time-series models predicted equipment failure 72–120 hours in advance.

Temporal Fusion Transformer (TFT) trained on 3 years of sensor telemetry for predictive failure probability scoring
YOLO v10 fine-tuned on 180K defect images for surface anomaly detection at 99.4ms inference on edge hardware
Apache Kafka streaming pipeline processing 2M sensor events per minute across all factory nodes
InfraGrid edge AI nodes deployed at each line — processing on-premise for sub-10ms response, syncing to central Cognix analytics platform
89%
Unplanned Downtime Reduction
0.18%
Defect Rate (from 2.3%)
$54M
Annual Savings
72–120h
Failure Prediction Window
340
Inspectors Redeployed to QA Strategy
14mo
Payback Period

"We went from firefighting machine failures to predicting them days in advance. The ROI was clear within six months — and we've since expanded the deployment to all 12 facilities globally."

— VP of Global Manufacturing Operations
TFTYOLO v10Apache KafkaNVIDIA JetsonInfluxDBInfraGrid EdgeCognix
Recommendation AIDemand ForecastingGenAICognix
03

Retail AI Analytics
& Hyper-Personalization

Omnichannel Retail Group · 800+ Stores · MENA Region · $2.1B Revenue

A $2.1B omnichannel retail group across MENA operated 800+ stores and a growing e-commerce channel but was losing $180M annually to inventory mismatches — overstock in low-demand SKUs, stockouts on fast-movers. Their digital recommendation engine had a 1.2% click-through rate. Customer lifetime value was declining as competitors offered more personalized experiences. Marketing ROI had dropped 34% year-over-year due to untargeted campaign execution.

RAGSOLIS AI deployed the Cognix analytics platform for demand intelligence and a custom AI recommendation engine using multi-armed bandit algorithms and collaborative filtering. A GenAI-powered marketing automation layer generated personalized campaign content at scale. Real-time inventory optimization rebalanced stock across the distribution network using reinforcement learning.

Two-Tower neural retrieval model + cross-encoder re-ranking for product recommendations across 2.4M SKUs
Prophet + LSTM ensemble for 90-day demand forecasting across 800 stores incorporating weather, events, and macroeconomic signals
GPT-4 fine-tuned on brand voice for Arabic/English marketing content generation — 10,000 personalized emails per day
Cognix real-time dashboard unifying POS, e-commerce, inventory, and customer data into single decision intelligence layer
8.7%
Recommendation CTR (from 1.2%)
$127M
Inventory Cost Reduction
31%
Revenue Lift from Personalization
4.2x
Marketing ROI Improvement
91%
Demand Forecast Accuracy
11mo
Full Payback Period

"Cognix gave us real-time visibility into every corner of our business. The demand forecasting alone paid for the entire platform in under a year — and the personalization results have exceeded every benchmark we set."

— Chief Digital Officer, Retail Group
Two-Tower NNProphetLSTMGPT-4 Fine-tunedCognixApache SparkRedis
Digital TwinAgentic AIIoTInfraGrid
04

Smart City Infrastructure
Automation Platform

Municipal Smart City Authority · 3.2M Residents · Gulf Region

A Gulf-region smart city authority managing critical infrastructure for 3.2 million residents faced exponential complexity as the city expanded. Traffic management relied on 1990s-era fixed signal timings causing daily gridlock. Energy consumption across 14,000 public buildings was unoptimized — $220M annual energy expenditure. Water distribution network had undetected leaks wasting 18% of supply. Emergency response coordination required manual inter-agency communication, averaging 14-minute response times.

RAGSOLIS AI built a unified smart city intelligence platform — a real-time digital twin of the city's infrastructure. InfraGrid connected 280,000 IoT sensors across traffic, energy, water, and emergency systems. Autonomous AI agents managed traffic signal optimization, energy load balancing, and anomaly detection continuously. NeuralCore powered the inter-agency coordination hub with natural language interfaces for all departments.

Reinforcement learning agent for adaptive traffic signal control — trained in simulation on 5 years of historical flow data
Graph Neural Network (GNN) modeling water distribution network topology for leak localization and pressure optimization
LSTM-based energy demand forecasting with automated HVAC optimization agents per building cluster
Multi-agent emergency dispatch system with NLP interface — processes Arabic and English incident reports and auto-coordinates first responders
38%
Traffic Congestion Reduction
$71M
Annual Energy Savings
14%
Water Loss Reduction
6.2 min
Avg. Emergency Response (from 14min)
280K
IoT Sensors Connected
Real-time
City Digital Twin

"The RAGSOLIS platform gave us a live nervous system for our city. We can now see, predict, and act across every critical system in real time — something that was unimaginable three years ago."

— Director General, Smart City Authority
RL AgentGNNLSTMInfraGridNeuralCoreDigital TwinMQTTApache Flink
LLMFraud DetectionRisk ModelingNeuralCore
05

Financial AI Assistant
& Risk Intelligence

Tier-1 Regional Bank · $48B AUM · 2.8M Customers · 5 Countries

A Tier-1 regional bank with $48B in assets under management and 2.8 million customers was facing margin compression from digital-native competitors. Loan underwriting took 5–14 business days through manual credit analysis. Fraud losses reached $34M annually with a 3.2% false positive rate that frustrated legitimate customers. Relationship managers spent 65% of their time on data gathering rather than client advisory. Customer call center handled 180,000 monthly queries with average handle time of 8.4 minutes and 24% first-call resolution.

RAGSOLIS AI deployed a comprehensive financial AI ecosystem — NeuralCore as the intelligent banking assistant layer, a real-time fraud detection engine, and an AI-powered credit underwriting system. A private LLM (Llama 3 fine-tuned on regulatory and banking data) powered both the customer-facing assistant and the internal RM copilot, enabling natural language interaction with financial data and policy.

Llama 3 70B fine-tuned on banking regulations, product data, and transaction patterns — deployed on-premise for full data sovereignty
Graph-based fraud detection system modeling transaction networks — identifies coordinated fraud rings invisible to rule-based systems
XGBoost + Neural Credit Scorecard with 340 alternative data features for credit underwriting, regulatory-compliant and explainable
NeuralCore RM Copilot — real-time portfolio summaries, regulatory alerts, and relationship insights delivered through Salesforce CRM integration
4h
Loan Decision Time (from 14 days)
91%
Reduction in False Positives
$26M
Fraud Losses Prevented
62%
First-Call Resolution Rate
3.5x
Increase in RM Client Advisory Time
8mo
ROI Payback Period

"The AI transformation didn't just cut costs; it fundamentally changed how we serve our clients. Our relationship managers are empowered with instant intelligence, and our credit decisions are faster and safer than ever."

— Chief Operating Officer, Regional Bank
Llama 3 70BvLLMNeo4jXGBoostNeuralCoreOn-Premise GPU ClusterSalesforce API
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