Neuratio provides an AI-powered ticketing platform for machinery manufacturers that automates customer support by building a technical memory from manuals and technician expertise. The system intercepts incoming requests, drafts responses with cited sources, and autonomously resolves simple cases while escalating complex ones to human technicians. It reduces response times by up to 65% and saves up to 90% of time on repetitive requests, with multilingual 24/7 support.
Funding
Funding not disclosed
Founders
Product
Problem
Machinery manufacturers face high volumes of repetitive customer support requests that consume significant technician time and slow response times. Support teams struggle to centralize technical knowledge scattered across manuals, documentation, and individual expertise, leading to inconsistent answers and delayed resolutions.
Solution
Neuratio provides an AI-powered ticketing platform that builds a reusable technical memory from manuals, documentation, and technician experience. The system automatically intercepts customer requests, converts them into tickets, verifies essential information, and assigns priorities. It asks customers for missing details in their own language around the clock, then either responds directly to simple cases or drafts responses with cited sources for technicians to review and send with one click. Every resolved case can be fed back into the platform's memory, enabling continuous learning and improvement of future responses.
Target Audience
Primary customers are machinery and equipment manufacturers who need to streamline customer support operations, reduce response times, and centralize technical knowledge across their service teams.
Features
- AI-driven technical memory construction from manuals, documentation, and technician expertise
- Automatic ticket creation with information verification and priority assignment
- Multilingual automated follow-up messages to customers for incomplete requests, available 24/7
- Autonomous response generation for simple cases and draft responses with source citations for complex cases
- Continuous learning loop where resolved cases are incorporated into the platform's knowledge base
- Integration with existing customer communication channels, allowing customers to write as they normally would