• Proprietary RAG & Reranking — grounds every AI response in your uploaded knowledge base using retrieval-augmented generation; reduces hallucinations and boosts resolution rates by over 10% compared to generic LLM chatbots.

• No-Code AI Agent Builder — create and configure a fully functional AI Agent by chatting with AI; set tone of voice, reply length, creativity level, and professional persona without writing a single line of code.

• AI Actions (API Triggers) — let your agent perform real-world tasks like checking order status, booking appointments, or collecting lead data by calling external APIs mid-conversation.

• Human Handoff with AI Summary — automatically transfers chats to a human agent when the AI detects a complex or unresolved query; generates an AI-written summary so agents start with full context, not a blank screen.

• Multi-Channel Deployment — publish your AI Agent to your website chat widget, WhatsApp Business, Slack, Facebook Messenger, Telegram, Discord, or via iFrame embed from a single configuration.

• Conversation Analytics — tracks sentiment analysis, topic detection, CSAT ratings, conversation outcomes (Resolved/Unresolved), and link click tracking so you can measure support ROI in real numbers.

• Smart Lead Generation — automatically collects visitor name, email, phone, and custom data attributes during conversations on Business and Custom plans, feeding structured data into your CRM or inbox.

• Shopify Knowledge Sync — pulls product descriptions and catalog data directly from your Shopify store into the AI's knowledge base, keeping product Q&A accurate as your inventory changes.

• Low-Code Workflow Builder — drag-and-drop canvas to visually compose multi-step agentic pipelines with LLM nodes, conditional logic, Python code blocks, RAG retrievals, and tool integrations; no deep ML engineering required.

• Multi-Model LLM Support — integrates natively with OpenAI, Anthropic Claude, Google Gemini, Meta Llama 2, Hugging Face, and Replicate; switch or combine models within a single workflow without rewriting logic.

• RAG Knowledge Bases — ingest PDFs, documents, and company data sources into vector databases in minutes; agents retrieve and cite your proprietary data rather than relying on generic LLM knowledge.

• Two-Click LLM Fine-Tuning — fine-tune open-source LLMs on your own datasets directly within the platform; models you build become your owned assets, not rented API endpoints.

• Guardrails & Output Validation — applies pre-built and custom validators to every LLM response to detect hallucinations, sensitive data exposure, PII leaks, and format violations before output reaches users.

• Observability & Evaluations — logs all agent interactions, tracks key performance metrics, runs large-scale LLM quality evaluations, and provides real-time debugging views so engineering teams can monitor production behavior precisely.

• On-Premise & VPC Deployment — runs entirely within your own corporate infrastructure, VPC, AWS, IBM Cloud, or IBM watsonx; satisfies strict regulatory requirements in finance, healthcare, and the public sector.

• Multi-Agent Orchestration — design and deploy networks of specialized LLM agents that collaborate on complex tasks, share context, and connect to internal APIs — all managed from a single visual interface.