Real Projects.
Real Results.

Every metric is from production. Every project delivered on time. These are the stories behind the numbers.

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Client Value Generated
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Projects Delivered
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Industries Served
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Weeks Avg. Delivery
Financial Services

AI-Powered Fraud Detection for Series B FinTech

Built a real-time ML system processing millions of transactions daily with sub-second latency, replacing a rule-based system that missed 40% of fraud cases.

95.7%
Detection Rate
$2.3M
Saved in Q1
60%
Fewer False Positives
Healthcare

Clinical Document Processing with RAG

Enterprise RAG system for Regional Health Network that extracts, classifies, and summarizes clinical documents with near-perfect accuracy — processing 12,000 documents daily.

78%
Time Reduction
99.2%
Accuracy
12K
Docs/Day
E-Commerce

AI Personalization Engine for D2C E-Commerce Platform

Deep learning recommendation system that analyzes browsing behavior, purchase history, and contextual signals to deliver hyper-personalized product experiences.

34%
Conversion Lift
$18M
Added Revenue
2.1x
Engagement
Manufacturing

Predictive Maintenance for Fortune 500 Manufacturer

IoT sensor data combined with ML models to predict equipment failures 72 hours before they occur, enabling proactive maintenance and eliminating costly unplanned downtime.

45%
Less Downtime
$4.7M
Annual Savings
92%
Prediction Accuracy
Insurance

Claims Automation with GenAI at National Insurance Provider

End-to-end claims processing pipeline using generative AI to extract, validate, and route claims — reducing manual review by 60% while improving accuracy and customer satisfaction.

60%
Faster Processing
40%
Cost Reduction
93%
CSAT Score
Energy

Demand Forecasting for Renewable Energy Operator

Advanced time-series ML models that predict energy demand across regional grids with unprecedented accuracy, enabling optimized distribution and reduced waste.

28%
Better Accuracy
$12M
Optimized Distribution
15%
Less Waste
Arkyon delivered what three other firms couldn't — an AI system that actually works in production, not just in a demo. The fraud detection model they built has already saved us millions.
RS
Rajesh Sharma
CTO, Series B FinTech

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