Case Studies | Run&Win AI Solutions

Case Studies

See how Run&Win AI solutions are delivering measurable results across industries — from infrastructure inspection to healthcare and computing.

Industrial Robots

Port & Harbor Infrastructure Inspection

Client: Major Port Authority in Southeast Asia  |  Industry: Port & Maritime  |  Product: E1 Underwater ROV

65%
Cost Reduction
12x
Faster Inspection
0
Safety Incidents
98%
Data Accuracy

The Challenge

A major port authority in Southeast Asia was struggling with outdated methods for inspecting 12 kilometers of wharf and berth structures. Traditional dive teams required extensive planning, weather-dependent scheduling, and exposed divers to hazardous conditions in busy shipping channels. Each full inspection cycle took 4-6 weeks and cost over $250,000 per year.

The Solution

The port authority deployed the E1 Underwater ROV system with high-definition cameras, sonar imaging, and precise navigation capabilities. The Run&Win team provided training for their in-house marine engineers, enabling self-sufficient operation within two weeks.

Results

  • Inspection time reduced from 4-6 weeks to 3-4 days per cycle
  • Annual inspection costs dropped by 65%, with full ROI achieved within 8 months
  • Zero diving safety incidents since deployment
  • Higher quality data with 4K video and sonar imaging enabled better maintenance decisions
  • Frequency of inspections increased from annually to quarterly, catching structural issues earlier
“The E1 ROV transformed how we manage our infrastructure. We’re saving money, keeping our divers out of harm’s way, and getting better data than ever before.” — Port Engineering Director
Industrial Robots

Railway Bolt Maintenance Automation

Client: Provincial Railway Bureau  |  Industry: Railway Infrastructure  |  Product: Rail Track Bolt Oiling Robot

60%
Maintenance Cost Down
8x
Efficiency Gain
30%
Bolt Lifespan Increase
200km
Track Maintained

The Challenge

A provincial railway bureau responsible for 200 kilometers of mainline track was facing rising maintenance costs and inconsistent bolt lubrication quality. Manual crews worked overnight during track possession windows, but inconsistent application meant some bolts were over-lubricated (wasting material) while others were under-lubricated (causing premature corrosion and failure).

The Solution

The railway deployed the iRunYu Rail Track Bolt Oiling Robot, which uses AI vision to automatically locate bolts along the track and apply precise amounts of lubricant. The robot operates during existing maintenance windows, covering more ground per shift with consistent quality.

Results

  • Lubrication efficiency increased 8x compared to manual crews
  • Annual maintenance costs reduced by 60%
  • Bolt corrosion rates dropped significantly, extending average bolt lifespan by 30%
  • Precision lubrication reduced lubricant consumption by 45%
  • Digital records of every bolt’s maintenance history for compliance tracking
“Consistency was our biggest problem. The robot applies exactly the right amount every time, and we have data to prove it. Our maintenance budget goes much further now.” — Railway Maintenance Manager
Consumer Health

Geriatric Care Sleep Monitoring Program

Client: Senior Living Community  |  Industry: Healthcare  |  Product: H-Guard Sleep Pillow

40+
Residents Monitored
89%
Resident Satisfaction
12
Health Alerts Detected
0
Wearables Required

The Challenge

A senior living community needed a better way to monitor the sleep health of its residents, particularly those with cardiovascular conditions and cognitive decline. Traditional wearables were frequently lost, forgotten, or refused by residents with dementia. Care staff had limited visibility into nighttime health patterns until incidents occurred.

The Solution

The community deployed H-Guard Smart Sleep Monitoring Pillows in 40 resident rooms. The contact-free fiber-optic sensing technology required nothing for residents to wear — they simply slept normally. Care staff received a dashboard with nightly sleep reports and real-time alerts for abnormal respiratory or cardiac patterns.

Results

  • 12 potential health incidents detected early through abnormal sleep patterns and vital sign changes
  • 89% resident satisfaction — no wearables meant no disruption to their routine
  • Care staff able to prioritize residents with the greatest needs
  • Family members gained peace of mind through regular sleep health updates
  • Zero equipment loss or charging issues (common problem with wearables)
“Our residents don’t even notice it’s there — it’s just their pillow. But our staff has more insight into their health than ever before. That’s the ideal technology: invisible but powerful.” — Care Facility Director

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