Our aim is to drive the transformation of the insurance industry enabling user-centric, on-demand insurance solutions and providing SAAS services to the insurance industry.
Marketing
customer journey
KIWU app enables user interaction throughout the customer and product lifecycle.
• pre-registration
• quotation
• user and vehicle registration
• selection of product offering
• vehicle inspection/verification
• one-click purchase
• payment processing
• customer support
• claims management communications
of on-demand products
KIWU supports a comprehensive set of usage-based insurance products that that combine to support the key use cases of on demand motor insurance.
• Insurance by time. Period insurance that includes both short-term (per-minute) insurance and longer term (per day, week, month or annual) including comprehensive insurance covering risks while driving or parked.
• Per-mile insurance. Insurance that is intended for occasional and low-mileage drivers and second or substitute cars.
• Parking insurance that covers the risks associated with a stationary car.
Analytics
data ingested
KIWU integrates data which originates from a number of external information systems, enriching the user’s risk profile.
KIWU is capable of combining and concurrently processing the following:
• static data originating from external demographic or vehicle databases.
• dynamic trip data coming from vehicles and the road environment.
• data in relation to the road infrastructure and features e.g. Intelligent Transportation Systems (ITS), speed limits etc..
and ML driven analytics
Predictive risk modelling
and risk management
The KIWU platform enables predictive data analysis that helps insurers review, in real time, the history of claims raised for similar losses and identify potential complications early in the process.
Additionally, KIWU data analytics provides insurers with data which is relevant for identifying various risk factors before an incident potentially occurs, enabling a more detailed risk profile to be drawn up based on the individual’s driving behaviour and the context in which they are driving.
information
Driver information - age
- driving experience
- motoring convictions
- endorsements or penalty points
- claims history
Environmental history - weather
- traffic conditions
- visibility
Vehicle Information - make
- model
- age
- ownership history, etc.
Vehicle history - accidents
- claims
- insurance payouts, etc
Information frommobile phone sensors
- trip start and end time
- location
- acceleration
- gyro data
- screen use (phone distraction) etc
Forecasts - weather
- traffic (predicted), etc.
GIS information - road type
- road attributes
- parking, etc
Historical road risk level - road type
- accident black spots
- parking, etc
Mode of travel - walking
- driving
- cycling
- public transport, etc
Data
KIWU proprietary AI and ML algorithms allow granular mobility risks assessment and providing personalised user experience.
KIWU runs online analysis of the rich data from different channels in real time:
- More than risk 1500 parameters considered within the AI model
- Live user and context-driven digital models
- ML identifies anomalies in the User behavioural norms
- Defines and normalises risk levels, helps manage these parameters
- Generates recommendations for insurance company and risk management
- Provides access to the data analytics outcomes to insurers and 3rd parties (Data as a Service).
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