Solnix · Case Studies
Deployments that
delivered.
Real enterprise AI engagements — measurable outcomes, production architectures, and the decisions that made them work.
40%
reduction in fraud losses
40% Reduction in Fraud Losses Without Sacrificing Customer Experience
A top-10 US bank was losing $180M annually to transaction fraud while legacy rule-based detection flagged 22% of legitimate transactions as suspicious. Solnix deployed a real-time ML fraud detection system that cut losses by 40% and reduced false positives by 71%.
94%
diagnostic accuracy
94% Diagnostic Accuracy: AI Radiology That Outperforms Specialist Consensus
A 12-hospital network facing radiologist shortages and 14-day imaging backlogs deployed Solnix's medical imaging AI across CT and MRI workflows. Diagnostic accuracy reached 94% on priority pathologies, cutting report turnaround from 14 days to 4 hours.
60%
reduction in unplanned downtime
60% Less Downtime: Predictive Maintenance Across 8 Production Facilities
An industrial manufacturer was losing $23M annually to unplanned equipment downtime across 8 global facilities. Solnix deployed vibration-analysis and process-sensor ML models that predict failures 72+ hours in advance, cutting unplanned downtime by 60%.
48h
vs 6–9 week manual review
Contract Review in Hours, Not Weeks: AI Document Intelligence for Defence Procurement
A Tier-1 defence contractor was spending 6–9 weeks on contract review for each major procurement, with teams of lawyers combing through 3,000+ page documents. Solnix's secure, air-gapped document intelligence system cut review time to 48 hours.
91%
straight-through processing
From 23 Days to 90 Minutes: End-to-End Claims Automation
A property and casualty insurer with $2.4B in annual premiums was processing claims in an average of 23 days. Solnix deployed a claims intelligence system covering document ingestion, fraud scoring, coverage determination, and settlement calculation — achieving 91% straight-through processing.
78%
reduction in critical grid incidents
Preventing the Cascade: AI Grid Monitoring for a National Utility
A national grid operator managing 45,000+ assets was responding to substation failures reactively, with average incident response times of 4.2 hours. Solnix's predictive monitoring system now flags at-risk assets 72+ hours before failure, reducing critical incidents by 78%.
4×
more deals assessed per year
4× Deal Coverage: AI-Assisted Due Diligence at a $3B PE Firm
A mid-market private equity firm running 20+ deal processes annually was constrained by analyst capacity — each process consumed 4–6 analysts for 10+ weeks. Solnix's AI due diligence platform enabled the same team to evaluate 4× more targets with higher analytical depth.
14%
MAPE vs 34% baseline
Forecast Error Halved: Demand Sensing Across 40,000 SKUs
A top-10 CPG company with $8B in retail revenue was running 34% average MAPE on demand forecasts, leading to $240M in excess inventory and chronic out-of-stock events. Solnix's real-time demand sensing platform cut MAPE to 14% across 40,000 SKUs.
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