Uppzy is an AI chatbot platform built for businesses that cannot afford a chatbot that guesses. Unlike generic LLM-based bots, Uppzy uses retrieval-augmented generation (RAG) — every answer is grounded in content you supplied, every response traces to a source passage, and every reply ships with a confidence score. If the knowledge base does not cover a question, the bot declines rather than hallucinating.

Teams use Uppzy to add an AI chatbot to their website, deflect repetitive support tickets, accelerate SaaS onboarding, answer product-spec questions on e-commerce stores, and turn conversations into customer intelligence. Common deployments include customer support (40–60% ticket deflection), documentation Q&A, pre-sales qualification, and in-app feature discovery.

Key features:

RAG-grounded answers from your own content (no hallucinations) 23 AI models across OpenAI, Anthropic, Google, and xAI 25+ languages with automatic detection Widget, WhatsApp, Slack, REST API, mobile SDKs Knowledge Gap analytics that surface unanswered questions Sentiment, topic, and buying-signal analysis Confidence scoring on every reply Per-site configuration for marketing-site vs in-app chatbots Setup is script-tag simple: create an account, upload documents or crawl your site, configure brand voice and handoff rules, paste one line into your HTML. Most customers are live the same day they sign up.

Pricing starts with a free plan (100 messages/month, 5 documents, no credit card). Paid plans scale from $15/month (2,500 messages) to $99/month (50,000 messages with API access, WhatsApp/Slack integration, and premium reasoning models).