Tecnology
AIKE enriches real-time purchase data with geolocation, demographic, behavioral, and psychographic inputs through its proprietary AI platform. This enables merchant, category, and segment mapping to third-party data and digital IDs for high-value solutions. Since inception, AIKE has focused on the core challenge of AI/ML—high-quality data—driving robust models, innovation, better user experiences, risk reduction, and trust in AI systems.
Cutting Edge Technology
AIKE’s merchant engine uses machine learning embeddings to capture nuances in debit, credit, and merchant data. Powered by a high-dimensional vector database, it identifies sales, tracks brand health, and tags new transactions using past matches. The system is scalable, resilient, and now exploring LLMs to enhance search capabilities.
Consumer Profiling
AIKE combines algorithms like Random Forests, Neural Networks, and K-means to analyze complex data—images, text, and sequences. This approach uncovers key patterns, enabling accurate consumer profiling and customer segmentation by behaviors and attributes.
Tecnology
AIKE enriches real-time purchase data with geolocation, demographic, behavioral, and psychographic inputs through its proprietary AI platform. This enables merchant, category, and segment mapping to third-party data and digital IDs for high-value solutions. Since inception, AIKE has focused on the core challenge of AI/ML—high-quality data—driving robust models, innovation, better user experiences, risk reduction, and trust in AI systems.
Cutting Edge Technology
AIKE’s merchant engine uses machine learning embeddings to capture nuances in debit, credit, and merchant data. Powered by a high-dimensional vector database, it identifies sales, tracks brand health, and tags new transactions using past matches. The system is scalable, resilient, and now exploring LLMs to enhance search capabilities.
Consumer Profiling
AIKE combines algorithms like Random Forests, Neural Networks, and K-means to analyze complex data—images, text, and sequences. This approach uncovers key patterns, enabling accurate consumer profiling and customer segmentation by behaviors and attributes.
Tecnology
AIKE enriches real-time purchase data with geolocation, demographic, behavioral, and psychographic inputs through its proprietary AI platform. This enables merchant, category, and segment mapping to third-party data and digital IDs for high-value solutions. Since inception, AIKE has focused on the core challenge of AI/ML—high-quality data—driving robust models, innovation, better user experiences, risk reduction, and trust in AI systems.
Cutting Edge Technology
AIKE’s merchant engine uses machine learning embeddings to capture nuances in debit, credit, and merchant data. Powered by a high-dimensional vector database, it identifies sales, tracks brand health, and tags new transactions using past matches. The system is scalable, resilient, and now exploring LLMs to enhance search capabilities.
Consumer Profiling
AIKE combines algorithms like Random Forests, Neural Networks, and K-means to analyze complex data—images, text, and sequences. This approach uncovers key patterns, enabling accurate consumer profiling and customer segmentation by behaviors and attributes.