LightBot
Agentic Workflow Orchestration for High-Velocity Lead Conversion
Empathetic Cognitive AI that automates complex human-like interactions with psychometric insights.
Juji is a pioneering Cognitive AI platform that distinguishes itself from standard LLM-based chatbots by integrating computational psychology into its core architecture. Unlike traditional RAG or basic generative models, Juji employs a 'System 2' reasoning approach, utilizing an inference engine to detect user personality traits (Big Five) in real-time. This allows for hyper-personalized, empathetic responses that adapt based on the user's psychological profile. For 2026, Juji has positioned itself as the enterprise standard for high-stakes conversations where trust and psychological safety are paramount, such as healthcare intake, student recruitment, and talent acquisition. Its technical stack facilitates a hybrid approach—combining symbolic AI for structured logic with generative models for natural phrasing—ensuring that agents remain grounded, compliant, and deeply insightful. The platform includes a robust no-code studio, automated analytics for conversation health, and a GraphQL API for seamless integration into existing enterprise workflows. Juji's unique value proposition lies in its ability to not only answer questions but to actively listen, ask deep follow-up questions, and provide actionable psychometric data back to the business.
Uses computational linguistics to extract Big Five personality traits from user text in real-time.
Agentic Workflow Orchestration for High-Velocity Lead Conversion
Turn anonymous traffic into qualified pipeline with autonomous conversational intelligence.
Omnichannel AI Chatbot Orchestration for Enterprise Automation
The intuitive no-code platform for building conversational apps and lead-gen workflows.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Combines rule-based logic with LLMs to prevent hallucinations while maintaining natural speech.
Algorithms that detect if a user has answered a multi-part question fully or needs prompting.
Contextual persistence across different sessions and channels for a single user ID.
Machine learning identifies cluster themes and sentiment trends across all conversations.
Modern API allows for granular querying of conversation state and psychometric data.
Maintains conversation state across Web, Messenger, and SMS simultaneously.
Admissions officers are overwhelmed by routine inquiries and struggle to identify 'best-fit' students.
Registry Updated:2/7/2026
Resumes don't show personality or cultural fit, leading to high turnover.
Inaccurate self-reporting on forms leads to poor clinical preparation.