DecisionArts

Fingerprinting

p_Key Intelligence

Decision Graph

Privacy First

Approach

Felix AI

Felix utilizes a n-dimensional neural network based knowledge graph (GNN) to emulate the human mind’s process of information organization and dissemination. This advanced model goes beyond traditional decision trees and linear tools, delivering advanced predictive capabilities and higher fidelity of information.

Our methodology is based on four distinct steps with a full screening of risks in order to provide a smart allocation.

Graph Based

Hyper-personalized engagement mimics human decision-making.

Noise Reduction

Eliminates unnecessary interaction barriers.

Real-Time Data Integration

Integrates data on-the-fly without expensive AI training or schema modificaitons

Hyper-Personalization

Delivers tailored content based on unique user and market traits.

Predictive Capabilities

Accurately predicts consumer responses to messages, incentives, and recommendations.

Privacy compliance built in

GDPR compliant framework with privacy protection from Day 0.

DECISION SCIENCE

Felix Decision Making

The landscape of consumer engagement is complex, multidimensional, and constantly evolving. Brands striving for differentiation and consumer loyalty need a sophisticated approach to decision-making. The Decision Graph, as employed by FELIX, offers a robust solution that transcends traditional linear models.

1. Multidimensional Consumer Insights

Traditional models miss the intricate web of influences in consumer behavior. The Decision Graph provides a comprehensive view, ensuring every decision is informed by a holistic understanding of the consumer journey.

2. Real-Time Adaptability

The Decision Graph integrates new data on-the-fly, allowing brands to respond to consumer behaviors and market changes in real-time, maintaining relevance and effectiveness.

3. Hyper-Personalized Engagement

Brands can deliver highly personalized content and recommendations, fostering deeper connections and higher engagement rates, setting them apart in competitive markets.

4. Enhanced Predictive Accuracy

The Decision Graph offers precise insights into how messages, incentives, and product placements will perform, allowing brands to fine-tune their strategies for maximum impact and ROI.

5. Reduced Friction and Noise

The Decision Graph minimizes friction by presenting the right information at the right time, tailored to the user’s needs. This streamlined experience drives higher conversion rates and repeat engagement.

6. Ethical and Compliant Framework

Operating within a GDPR-compliant framework, the Decision Graph ensures that consumer data is handled with care, building trust and adhering to regulations, safeguarding the brand’s reputation.

Technology Our Technology

FELIX Fingerprinting

FELIX Fingerprinting Technology assigns unique p_Key scores^™ to each data point, precisely mapping consumerinteractions and behaviors. This enables advanced queries and real-time personalization, optimizing marketing and sales strategies for brands.

Our model filters a multitude of factors impacting financial markets in order to recommend the most relevant allocation.

We stack a supervised learning approach based on Gradient Boosting Decision Trees with deep reinforcement learning. We leverage our expertise in interpretable machine learning techniques.

Click here to see how FELIX works

Approach