Impact Stories

Real organizations. Real results. Real impact.

Automotive Cybersecurity

Automotive Cybersecurity Case Study - Vehicle Intrusion Detection | Expanso

OEM deploys IDS on 2.3M vehicles. CAN bus attack detected in 0.8ms. Cellular costs dropped 94%. VSOC sees 847 alerts/day, not 12 million.

2.3M Connected Vehicles
0.8ms Attack Detection
Environmental Services

Forest Mapping Case Study - Environmental Monitoring at the Edge | Expanso

Forestry company processes 2.7TB of drone imagery per day locally. AWS bill dropped from $127K to $14K monthly. Clients get maps same day.

$127K Monthly AWS (Before)
$14K Monthly AWS (After)
Public Sector - Smart Cities

Major U.S. City Case Study - Smart City Video Analytics | Expanso

City processes 14,847 cameras locally. Video retention went from 7 days to 5 years. Investigation time dropped from 3 days to 4 hours.

14,847 Cameras
5 years Retention (was 7 days)
Telecommunications - 5G

O-RAN Case Study - Edge Telemetry Processing for 5G Networks | Expanso

Telecom cuts O-RAN telemetry 78% at 3,847 cell sites. RIC latency dropped from 2.3s to 89ms. Splunk bill down 47%.

3,847 Cell Sites
89ms RIC Latency (was 2.3s)
Enterprise IT - Observability

Splunk Cost Optimization Case Study - 63% Log Volume Reduction | Expanso

Bank cuts Splunk from $3.7M to $1.4M/year. Filtered 14.3TB/day down to 5.2TB. Security alerts now actually findable.

14.3TB Daily Logs (Before)
5.2TB Daily Logs (After)
Professional Sports

Sports Stadium Analytics Case Study - Real-Time Data at the Edge | Expanso

Sports league cuts broadcast latency from 150ms to 8ms across 23 venues. Saved $1.2M annually on cloud egress.

23 Stadiums
8ms Latency (was 150ms)
Defense & Public Sector

U.S. Navy Case Study - Distributed ML Workloads | Expanso

U.S. Navy runs ML on unmanned vessels with 4-minute satellite windows. Model updates hit 97% of fleet within 72 hours.

4 min Avg Satellite Window
97% Fleet Update Rate
Defense - Maritime Systems

UUV Case Study - Autonomous ML Analytics in Deep Ocean | Expanso

Defense contractor runs ML on UUVs with 73-hour missions. Classifies signals in 67ms on 15W power budget. Mission completion rate up 37%.

73 hrs Mission Duration
67ms Signal Classification

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