Dixa
The Conversational Customer Service Platform that blends AI efficiency with human empathy.
Level AI is an enterprise-grade intelligence platform engineered to revolutionize the modern contact center through semantic-based Natural Language Processing (NLP). Unlike legacy keyword-matching tools, Level AI utilizes proprietary Large Language Models (LLMs) to understand intent, sentiment, and context across voice and digital channels with up to 95% accuracy. As of 2026, its technical architecture has evolved into an 'Omniscient Engine' that bridges the gap between raw customer interactions and executive-level business intelligence. The platform automates 100% of the Quality Assurance (QA) process, providing real-time coaching triggers for agents and deep-dive analytics for managers. Its positioning in the 2026 market is centered on 'Autonomous CX Governance,' allowing organizations to monitor compliance and performance at scale without human intervention. The platform features deep neural network integration with major telephony stacks like Genesys, Five9, and Twilio, enabling sub-second latency for real-time agent assist functions. By focusing on semantic understanding rather than simple transcription, Level AI provides a more nuanced view of customer satisfaction (CSAT) and net promoter scores (NPS) predicted from live conversation data.
Uses NLU to understand intent rather than keywords, reducing false positives in compliance and QA.
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.
Live monitoring of calls to provide instant knowledge base suggestions via pop-ups.
Algorithms score every single interaction based on custom rubrics and regulatory requirements.
Syncs audio transcripts with screen capture to identify workflow bottlenecks.
Machine learning models predict customer satisfaction scores for 100% of calls.
PII/PCI data is automatically redacted from transcripts and audio in real-time.
Unified view of customer journeys across email, chat, and voice.
Manual audits cover only 1-2% of calls, leaving massive regulatory exposure.
Registry Updated:2/7/2026
New agents take months to become proficient in complex product knowledge.
Customers often churn without explicit negative feedback.