Sentiance
Transform raw motion data into actionable mobility insights

Target Audience
- Motor insurance providers
- Gig economy platforms
- Urban transport authorities
- Automotive manufacturers
Hashtags
Overview
Sentiance analyzes smartphone sensor data to understand movement patterns and behaviors. It helps companies improve road safety, optimize transportation systems, and personalize user experiences. The platform focuses on privacy-first processing with on-device AI analysis.
Key Features
Crash Detection
Real-time accident alerts with 95%+ accuracy rate
On-device Processing
Reduces cloud costs & maintains user privacy
Trip Analysis
Identifies driving behaviors and mobility patterns
Behavioral Segmentation
Categorizes users by transportation habits
Use Cases
Motor insurance risk assessment
Gig economy rider safety monitoring
Public transport optimization
Automotive safety feature development
Pros & Cons
Pros
- Privacy-focused on-device data processing
- Real-time crash detection capabilities
- Industry-specific mobility insights
- Scalable solution handling 3M+ trips/day
Cons
- Primarily enterprise-focused (not consumer-facing)
- Requires integration with mobile apps/sensors
- Pricing transparency unclear for small businesses
Frequently Asked Questions
How does Sentiance protect user privacy?
Processes data locally on devices instead of sending to cloud servers
What sensors does Sentiance require?
Works with standard smartphone sensors like GPS and accelerometer
Reviews for Sentiance
Alternatives of Sentiance
Deliver actionable roadway intelligence using AI technology
Transform IoT and mobility data into visual analytics insights
Reveal hidden physical patterns through multimodal sensor analysis
Accelerate development of advanced vehicle software solutions