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Natural Language Processing
Most comprehensive banking domain specific Natural processing engine, powered by a knowledge graph ontology with pre-defined products, attributes, slang, abbreviations and language packs.
Product – Attribute - Product mapping for human like conversations & context specific streaming recommendations.
Polyglot Language Model
Understand Slang, mixed language, Abbreviations across multiple languages in the same model.
Superlative sentiment detection with subjectivity analysis, intensifiers & negation handling
Context driven Multi intent analysis and joint slot filling.
Advanced Machine vision models trained and optimized for Banking specific user journeys viz. eKYC - ID OCR, photo extraction, face verification, liveness detection.
Photo extraction from ID’s and matching with photo and live selfie/streaming video.
70+ parameters to detect liveness accurately.
Live video chat and inline analysis for authentication and sentiments.
Text extraction from ID’s and documents with processing pipeline
BankBuddy speech engine is phonetically trained specifically for banking speech / voice recognition across languages, dialects, slang and abbreviations for highest accuracy.
Bank grade speech verification for MFA and frictionless banking.
Multi lingual ASR
Domain specific ASR with language models for lower WER and higher accuracy.
Realtime emotion detection and analysis for tailored actions.
Leveraging standards like SSML, Voice XML , SISR, SRGS, WebRTC
BankBuddy offers the most advanced banking recommendation model with Ensemble learning that combines multiple algorithms to deliver the personalised recommendations for accurate targeting domain specific cognitive model with dynamic persona generation based on Behavioural data analytics and scoring based on past interactions (Demographics, Past behaviour patterns, social profile, interaction pattern) & Reinforcement learning for continuous improvement
Dynamic Persona Generation
BFSI specific model trained on your product and customer attributes
Identify closest persona in the financial Journey
Dynamic persona paired with current context for higher prediction accuracy
Live active stream of recommendations with reinforcement learning