Dixa
The Conversational Customer Service Platform that blends AI efficiency with human empathy.
Aivo, now an Engageware company, is a global leader in conversational artificial intelligence, specifically engineered for mid-to-large enterprises seeking to automate complex customer interactions. Its 2026 architecture leverages a hybrid approach combining proprietary Natural Language Processing (NLP) with generative AI models to deliver 'AgentBot,' a solution that understands intent, context, and slang across multiple languages. Aivo's standout innovation is its Video Conversational AI, which provides a human-face interface for automated interactions, significantly increasing trust and conversion in sectors like banking and healthcare. The platform is designed with a 'Human-in-the-loop' philosophy, allowing seamless escalations to live agents when the AI detects high-friction sentiment. As of 2026, Aivo focuses heavily on 'Agentic Workflows,' where the AI doesn't merely provide information but executes complex backend tasks—such as processing refunds or scheduling multifaceted appointments—through deep API integrations with Salesforce, Zendesk, and SAP. This shift from simple query resolution to autonomous task execution defines its current market leadership.
Uses advanced semantic memory to understand user intent without requiring exact keyword matches or rigid phrasing.
The Conversational Customer Service Platform that blends AI efficiency with human empathy.
Build and deploy custom GPT-powered chatbots trained on your specific business data in under 2 minutes.
The hybrid AI-powered virtual receptionist and 24/7 lead qualification platform.
Real-time conversational intelligence for the autonomous contact center.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
A real-time face-to-face automated assistant utilizing computer vision and high-fidelity lip-sync technology.
Unified dashboard managing interactions across 10+ platforms including WhatsApp, Web, and SMS with persistent state.
Machine learning models that analyze historical data to predict future customer needs and potential churn.
Proprietary STT and TTS engines optimized for various accents and regional dialects.
Centralized engine that updates all AI knowledge across all channels instantly from a single source of truth.
Detects customer frustration in real-time and triggers immediate human agent escalation with a full context summary.
High volume of routine queries regarding balance and card blocking.
Registry Updated:2/7/2026
Bot confirms via SMS
Customer support overwhelmed by 'Where is my order?' requests.
Need for empathetic, face-to-face initial patient screening.