NaLU AI

NaLU AI is an AI natural-language-understanding (NLU) validation layer for chatbots and conversational agents that extracts clean, structured data from user replies instead of saving conversational noise. It solves a common failure where bots store a full greeting like "Good morning! My name is John Smith" as the customer's name; NaLU uses multi-layer semantic extraction to isolate just the real value — in this case "John Smith" — and returns it with a confidence rating in milliseconds. The service ships with 13 ready-to-use validators, including validate_name, validate_email (which also fixes domain typos such as gmail to gmail.com), validate_postal_code, validate_yes_no in any language, validate_birthdate with minor detection, validate_handoff to detect when a user wants a human agent, and validate_cancel_intent. Each call returns a normalized value plus flags like obtained, confidence, and extracted_value, with no regex and, per the vendor, no hallucination. NaLU integrates in about 30 seconds via REST API or natively as an MCP server with tools like Cursor, Claude Code, n8n, and Make. Pricing is usage-based at roughly $0.0012 per validation on the Starter plan (a few credits per call), with 3,000 free credits included every month. NaLU AI is best suited to developers building chatbots and AI agents who need reliable, structured data capture from messy human input.

Developers building chatbots and AI agents use NaLU AI to extract clean, structured data—names, emails, yes/no—from messy user replies via REST API or MCP.