
“The amplifair™ solution has driven tremendous improvement to our loss ratio and sales KPIs by revealing micro segments that disproportionately affect profitability.”
Top Global Insurance Company, Chief Information Officer





Micro Segmentation
The only solution that provides automatic rule-based micro segmentation (ARMS™)



Quick Value
Less than 3 days to get substantial impact



No Integration
Zero IT requirements. Rules are configured on top of your existing systems



High Precision
Monitoring per segment enables high precision and quick response to new trends
How It Works
Leveraging Numerous Sub-Models
We analyze your anonymized data and automatically identify hidden trends, for example, pertaining to profits and losses. The trends are derived from numerous explainable sub-models that significantly enhance data partitioning accuracy.
The Automatic Rule-based Micro Segmentation (ARMS) hones your focus to those sub-populations with most ROI, ensuring your primary efforts are on what matters most.
The platform continuously monitors emerging trends, keeping you ahead of market shifts and enabling faster, smarter and explainable decisions.

The Future of Micro Segmentation is Here



Maximize market share and conversion rate by approaching the right audience with the right offer
Improve Sales KPIs by 22%



Accurately handle the high risk customers
Improve Profits by 10 Points

Traditional tools fail to deliver impact, relying on black-box models or simplistic methods. The amplifair platform combines deep AI with explainable rules to achieve superior results where others fall short.
About Us
Frictionless pricing. A new approach to an old problem.
We founded amplifAIr™ as a game-changing platform designed to meet the challenges of pricing models in the BFSI sector.
Our frictionless platform mitigates pricing mismatches and increases market share and profitability.
With no IT time investment required, our platform offers instant value which can be implemented directly into your specific discount policy.
Instead of periodic risk and policy updates, underwriters can receive updated customer segment information, allowing them to align risk and pricing in (close to) real-time.
What


With improvements in segmentation, customers can be offered pricing discounts that reflect their underlying risks, thereby optimizing portfolio profitability.
How


Use Machine Learning to improve the models (linear, additive, etc.). In this way, it is now possible to close the gap between traditional risk assessment and actual risk.
Why


Meet The Team
Why companies love amplifAIr
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Sean Farmer

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Sean Farmer

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