Driver behavior intelligence for user-based insurance and driver-centric risk management. Let’s turn bad drivers into safe and loyal clients.
Create impact
Risk Management
Better risk control with AI powered real-time insights.
Faster Claim Resolution
Understand claim situations faster, and more accurately.
Safer Drivers
Coach safer driving behaviors, for the ultimate win-win.
Reduce Fraud
Get to know the real story, with in-depth analysis.
Driver Behavior Insights
Driver event analytics
Accurately detects intensity and duration of accelerations, brakes, turns, speeding, coasting.
Distracted driving detection
Automatically detects in-car phone handling while driving.
Crash detection
Applies machine-learning techniques to detect and analyze collisions in real-time.
Driver scoring
Calculates multi-layered driving scores based on anticipation, smooth and legality (speeding).
Driver lifestyle profiling
Provides a holistic driver lifestyle profile, based on out-of-car context and activity monitoring.
Multi-modal transport detection
Automatically detects transport modes, distinguishing car trips from public transportation.
Driver/passenger detection
Identifies a customer’s role as a driver or passenger based on unique driver characteristics.
Trip Prediction
Predict your drivers’ next car trip. Suggest first mile/last mile shared mobility solutions to lower risks.
Trip Analytics
Delivers in-depth trip insights with sequential events of the entire trip.
Trip Context
Contextualizes driving behavior by identifying a trip’s purpose and driving conditions.
Holistic driver profiling
Our driver-centric approach fueled by smartphone sensor data unveils specific driver habits and behavior in real-time, building a rich holistic driver profile.
- Detailed and accurate driving event detection
- Multidimensional driving behavior scoring
- Context-aware intelligence
- Mobility behavior profiling
- Lifestyle behavior profiling
In-depth trip analytics
Multidimensional trip analytics to show driving behavior. Steep accelerations and heavy braking result in a lower Smooth Driving Score. Legal driving score measures how well the driver adheres to speed limits; Anticipative driving score measures how well the driver anticipates traffic situations.
- Smooth Driving
- Legal Driving
- Anticipative Driving
- Focus Driving
- Hard Accelerations
- Hard Braking
- Hard Turns
Low cost & simple deployment
The setup requires a simple SDK integration into a smartphone app and provides a flexible API for accessing the driving events, context and scores.
- Simple SDK integration into mobile application.
- Over-the-air deployment enabling broad reach and selective activation.
- Minimal battery and bandwidth usage, thanks to optimized sensor fusion and minimized GPS fixes.
- Simple over-the-air software updates; no hardware updates or maintenance required.
- Option to match driver to single car via mobile app connection to Bluetooth beacon in car.
Case study
UBI Insurance
RISK (NL) is using Sentiance technology to introduce the next generation of UBI solutions by incorporating behavioral and contextual data. First generation UBI products focused on analyzing car data. The Sentiance-RISK solution also takes into account the broader behavior and context of the person driving the car.
Benefits
- Enhanced personalization
- Better risk management
- Innovative insurance offerings
- User engagement
Blog posts
“Pay How You Move” – a hyper-personalized mobility insurance based on a customer’s unique mobility profile
23/02/2021
AI-driven crash detection with a human-centric approach
08/10/2020
Sentiance wins “Insurtech Product of the Year 2020” award from TU-Automotive Connected Car Insurance
19/08/2020
Retail banking: from transactional convenience to a customer-centric lifestyle partner
05/08/2020
How will Covid-19 impact the auto insurance industry?
06/05/2020
Popping the hood on Trov’s mobility insurance platform
28/01/2020
It’s time for a new UBI.
Let’s talk!
Get the ultimate insights into your users’ behavior. Create personalized adaptive products and services and drive behavior change.
