DEVA is Altruist's AI-powered virtual assistant that combines natural language understanding, contextual awareness, and enterprise-grade integrations to handle complex customer interactions autonomously — across every channel.
Advanced NLU engine that understands intent, context, and sentiment across 25+ languages, delivering human-like conversational experiences with >95% intent accuracy.
Deploy seamlessly across voice IVR, web chat, WhatsApp, SMS, email, and mobile apps — with unified conversation history and context persistence across channels.
Smart routing that recognizes when to escalate to human agents, transferring full conversation context, sentiment analysis, and suggested resolution paths for seamless handoffs.
Continuous improvement through reinforcement learning. DEVA analyzes resolved and escalated conversations to auto-optimize response accuracy and expand its knowledge base.
Pre-built connectors for CRM, ticketing, billing, and knowledge management systems. DEVA pulls real-time data to resolve queries without human intervention.
Real-time visibility into resolution rates, customer satisfaction, conversation flows, and bot performance — enabling data-driven optimization of virtual assistant strategies.
Customer queries resolved without human agent intervention
Decrease in customer service operational costs within 6 months
Average response time across all digital channels
Multilingual support with native-level conversational accuracy
DEVA's NLU engine parses the customer query, identifies intent, extracts entities, and determines the optimal resolution path — all within milliseconds.
Drawing from enterprise knowledge bases, CRM data, and transactional systems, DEVA generates accurate, contextual responses and executes actions autonomously.
Every interaction feeds DEVA's self-learning loop. Resolution patterns are analyzed, success rates tracked, and the model continuously fine-tuned for higher accuracy.
See how DEVA can reduce costs and improve satisfaction across your customer support operations.
Request a Demo