Level Up Your Fintech Infrastructure with Cutting-Edge AI

Our Retrieval-Augmented Generation System (RAG-Sys) represents a paradigm shift in transaction data enrichment:


• Adaptive Few-Shot Learning: RAG-Sys employs sophisticated few-shot learning algorithms, enabling rapid adaptation to new transaction types or merchant categories without extensive retraining.

• Dynamic Contextual Enrichment: Leveraging advanced retrieval mechanisms, the system enriches raw transaction data with relevant contextual information in real-time, transforming basic logs into comprehensive financial narratives.

• Continuous Model Evolution: The system architecture facilitates ongoing refinement of enrichment capabilities through implicit feedback loops, maintaining model relevance without full retraining cycles.

Break down data silos and gain a 360-degree view of your customers with our proprietary embedding technology:


• Multi-Dimensional Insight: Generate high-fidelity embeddings that capture intricate relationships across diverse financial behaviors and products.
• Large Model Training: Process vast, multi-domain datasets to uncover hidden patterns and opportunities.
• Lightning-Fast Serving: Leverage our high-performance infrastructure for real-time embedding access with sub-150ms latency.


Revolutionize your cross-selling strategies, risk assessments, and customer value predictions with holistic customer profiles.

• Modular Integration: Implement individual components of our stack to address specific needs.
• Comprehensive Support: Extensive documentation and dedicated assistance empower your developers to leverage our AI capabilities effectively.
• On-Premises Options: We offer on-premises deployment for institutions requiring heightened data security and compliance.
• Co-Innovation: We work alongside your team to develop tailored solutions, driving unique competitive advantages.