Itera AI
Itera AI provides AI-powered tools for European aerospace operators to streamline maintenance and engineering workflows. Its platform automates document retrieval, accelerates troubleshooting, and generates cost-based quotations from RFQs using the user's pricing history, cutting proposal preparation time and helping win more contracts. By capturing expert knowledge, the solution also mitigates skill loss when senior technicians retire, delivering measurable reductions in workshop turnaround time.
- Aerospace
- Artificial Intelligence
- AI Agents
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Aerospace maintenance teams lose significant time searching through lengthy technical manuals and documentation to find procedures, delaying troubleshooting and increasing workshop turnaround time. Responding to requests for quotations (RFQs) is also slow, causing operators to miss bidding deadlines and lose contracts to faster competitors. Additionally, when experienced technicians retire, their expertise is lost without an effective way to capture and transfer that knowledge.
Solution
Itera AI provides AI-powered tools tailored for European aerospace operators to streamline maintenance and engineering workflows. The platform automates document retrieval, accelerates troubleshooting, and generates cost-based quotations from RFQs using the user's pricing history, cutting proposal preparation time and helping win more contracts. By capturing expert knowledge, the solution also mitigates skill loss when senior technicians retire, delivering measurable reductions in workshop turnaround time.
Target Audience
Primary customers are European aerospace operators, including MRO workshops, airlines, FBOs, parts manufacturers and distributors, defense, training, drone, and air freight organizations, with a focus on independent workshops as well as larger companies.
Features
- Automated quotation generation from RFQs or work lists using the operator's own pricing history and internal systems
- Enterprise chatbot ("Atlas") providing sourced, natural-language answers from integrated documents such as CMMs, service bulletins, maintenance histories, and internal procedures
- Retrieval-augmented generation (RAG) system deployed on customer documentation, reducing document search time by over 50% in a case study
- Custom AI agents and dashboards for automating processes such as quote tracking, weekly reports, regulatory alerts, and onboarding
- Integration with existing APIs and business tools for real-time reporting, analysis, and suggestions