Dixa
The Conversational Customer Service Platform that blends AI efficiency with human empathy.
End-to-end hyperautomation for email and customer support workflows using NLP and RPA.
EmailTree.ai is a sophisticated hyperautomation platform that sits at the intersection of Natural Language Processing (NLP) and Robotic Process Automation (RPA). Designed primarily for customer-centric enterprises and BPOs, its technical architecture focuses on the 'Zero-Touch' resolution of text-based inquiries. By 2026, EmailTree has evolved to leverage small language models (SLMs) for on-premise deployments alongside massive multi-modal capabilities for processing complex email attachments. The platform functions by ingestive categorization, intent recognition, and sentiment analysis, which then triggers either a human-in-the-loop (HITL) suggested response or an autonomous RPA sequence to update back-office systems like SAP or Salesforce. Its market position is solidified by its ability to reduce Average Handling Time (AHT) by up to 80% while maintaining enterprise-grade compliance. It differentiates itself from standard chatbots by focusing on the 'Tree' of possible outcomes—managing complex, multi-step workflows that extend far beyond simple auto-replies into the realm of full-scale business process orchestration.
Uses a proprietary ensemble of transformer models to identify primary, secondary, and tertiary intents within a single message.
The Conversational Customer Service Platform that blends AI efficiency with human empathy.
Empathetic Conversational AI and Video Bots for Enterprise Customer Engagement
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.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Vector-based search against company wikis to find the most relevant resolution steps for agents.
Real-time analysis of urgency and frustration levels to prioritize tickets in the CRM queue.
Directly maps extracted data (like tracking numbers) into RPA scripts for zero-touch execution.
Analyzes agent performance metrics to distribute emails based on current complexity and agent expertise.
Fully autonomous reply and system update mode triggered only when confidence scores exceed 98%.
Native support for 100+ languages without the need for external translation layers (preserving context).
Manual extraction of policy details and accident photos from thousands of daily emails.
Registry Updated:2/7/2026
The system drafts a confirmation or request for more info for the agent.
High volume of 'Where is my order' and return requests.
Validating identity documents sent via secure email portals.