Modelling API
Modelling API
May 2018
We give systems a brain
2
We provide tools for insurers & banks to use data analytics and machine learning
Our sales platform converts client leads more intelligently, reducing acquisition costs
Our retention platform uses predictive analytics to reduce lapses
Our claims system identifies opportunities to reduce claim costs
We enable model deployments into API’s accessible by other systems
The Modelling API converts any model into an accessible API
3
CONVERT RETAIN
Sell to
customers
Smart retention
strategies
CLAIM
Intelligent claims
handling
UNDERWRITE
Intelligent
underwriting
MODELLING
API
Modelling
Tools Enable AI
in existing
systems
Configurable Portals
Optalitix
Overview
4
The Modelling API was developed to meet implement client models quickly. We have now adapted it for
external use.
It is used by a number of clients for models ranging from credit affordability checks, product
recommendations, sales and retention propensity measurement and even petrol pump shortfalls.
The functionality is constantly being enhanced based on specific client needs. It now allows user to:
• Instantly convert Excel and Python models into system hosted API’s
• Host the API and produce documentation for external systems to connect
• Input data for models from external sources(e.g. external databases like Experian)
• Send model outputs into a model management system to track outcomes and use them operationally.
Models
Decision
engine
API
External Systems
How it works
5
Decision
engine
Testing
ScreensReplicated
Model
Optalitix
Experience
monitoring
Data
Store
Modeling API
API
Websites
Admin
Systems
Mobile
Apps
CRM
systems
Modelling Team
Insurer & Broker Systems
Step 1: Model
uploaded and
replicated in
decision engine
Step 2: Online
model testing
screens
generated by
the system
Step 3: API set-
up using system
generated SDK
documents
Step 4:
Database
stores API
data
Step 5:
xperience in
real time
Testing
Screens
Delays in model implementations reduce model accuracy
6
Initial Model
Build
Experience
Monitoring
Model
Update
Model conversion
into system
System
Update
Experience
Monitoring
To shorten the cycle, the systems
supporting the models need to be optimised
1-2 months
3-6 months
2-3 months
1-2 months
1-3 months
2-4 months
2-3 months
Business insight is
inaccurate due to
delays
10 – 20 months
Optalitix’s Modelling API ensure rapid data insight
7
Instant system build from existing models
System integration is easy
Experience monitoring dashboards
Data for model updates is always available
Model updates require no system intervention
Instant model conversion into APIs from spreadsheet
models, as well as Python
Optalitix hosts the API, and SDK documentation is
generated by the system for easy integration
Experience monitoring is enabled using bespoke, real
time dashboards
Data is pushed into SQL databases that enable rapid
model recalibration
Model updates can be uploaded instantly and
regression tested for robustness
Experience monitoring dashboards are customised in our insurer
portals to track model accuracy
8
Checks on accuracy for propensity models
Analysis of age experience Product recommendation accuracy measures
Our insurer portal screens provide data driven insight
9
What we do
10
We design systems for banks and insurers using machine learning
We build innovative front-end portals for financial services
Enable complex algorithms and integrations for financial clients
Technology used and trusted by blue chip banks and insurers
Blue chip clients and partners
11

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Insurance Innovation Award-Optalix

  • 2. We give systems a brain 2 We provide tools for insurers & banks to use data analytics and machine learning Our sales platform converts client leads more intelligently, reducing acquisition costs Our retention platform uses predictive analytics to reduce lapses Our claims system identifies opportunities to reduce claim costs We enable model deployments into API’s accessible by other systems
  • 3. The Modelling API converts any model into an accessible API 3 CONVERT RETAIN Sell to customers Smart retention strategies CLAIM Intelligent claims handling UNDERWRITE Intelligent underwriting MODELLING API Modelling Tools Enable AI in existing systems Configurable Portals
  • 4. Optalitix Overview 4 The Modelling API was developed to meet implement client models quickly. We have now adapted it for external use. It is used by a number of clients for models ranging from credit affordability checks, product recommendations, sales and retention propensity measurement and even petrol pump shortfalls. The functionality is constantly being enhanced based on specific client needs. It now allows user to: • Instantly convert Excel and Python models into system hosted API’s • Host the API and produce documentation for external systems to connect • Input data for models from external sources(e.g. external databases like Experian) • Send model outputs into a model management system to track outcomes and use them operationally. Models Decision engine API External Systems
  • 5. How it works 5 Decision engine Testing ScreensReplicated Model Optalitix Experience monitoring Data Store Modeling API API Websites Admin Systems Mobile Apps CRM systems Modelling Team Insurer & Broker Systems Step 1: Model uploaded and replicated in decision engine Step 2: Online model testing screens generated by the system Step 3: API set- up using system generated SDK documents Step 4: Database stores API data Step 5: xperience in real time Testing Screens
  • 6. Delays in model implementations reduce model accuracy 6 Initial Model Build Experience Monitoring Model Update Model conversion into system System Update Experience Monitoring To shorten the cycle, the systems supporting the models need to be optimised 1-2 months 3-6 months 2-3 months 1-2 months 1-3 months 2-4 months 2-3 months Business insight is inaccurate due to delays 10 – 20 months
  • 7. Optalitix’s Modelling API ensure rapid data insight 7 Instant system build from existing models System integration is easy Experience monitoring dashboards Data for model updates is always available Model updates require no system intervention Instant model conversion into APIs from spreadsheet models, as well as Python Optalitix hosts the API, and SDK documentation is generated by the system for easy integration Experience monitoring is enabled using bespoke, real time dashboards Data is pushed into SQL databases that enable rapid model recalibration Model updates can be uploaded instantly and regression tested for robustness
  • 8. Experience monitoring dashboards are customised in our insurer portals to track model accuracy 8 Checks on accuracy for propensity models Analysis of age experience Product recommendation accuracy measures
  • 9. Our insurer portal screens provide data driven insight 9
  • 10. What we do 10 We design systems for banks and insurers using machine learning We build innovative front-end portals for financial services Enable complex algorithms and integrations for financial clients Technology used and trusted by blue chip banks and insurers
  • 11. Blue chip clients and partners 11