Xcert AI provides an AI‑driven platform that automates aerospace certification and compliance, cutting documentation effort and time by up to 50%.
Funding
Funding not disclosed
Founders
Product
Problem
Aircraft and spacecraft development projects often lose up to half of their timeline and budget to certification and compliance activities, which involve extensive documentation, manual requirement tracking, and repetitive test‑procedure generation. This administrative burden slows product delivery, increases costs, and diverts engineers from design work.
Solution
Xcert AI offers an AI‑driven platform that automates the creation and management of certification and compliance artefacts for aerospace manufacturers. The system ingests existing PDFs and project data, extracts requirements, generates test procedures, and produces regulatory documentation within a connected, data‑centric workflow. Large language models are used only for language understanding, while an agentic architecture with retrieval‑augmented generation and function calling ensures the AI operates on proprietary aerospace ontologies and customer‑specific data, avoiding hallucinations. All generated artefacts are stored in a knowledge graph that continuously enriches the organization’s collective expertise, enabling fast queries and future reuse. The platform can be deployed as a private SaaS, on‑premise, or in a secure cloud, and supports any major LLM to meet security policies.
Target Audience
Primary customers are system and aerospace engineers, certification teams, and compliance managers at aircraft and spacecraft manufacturers who need to streamline regulatory documentation and accelerate product development.
Features
- Automated extraction of requirements and generation of test procedures from uploaded project documents
- End‑to‑end creation of certification paperwork with built‑in quality control and regulatory compliance checks
- Knowledge‑graph backbone that captures all artefacts for reuse and organization‑wide queryability
- Agentic AI workflow with RAG and function calling to provide precise, context‑aware outputs while preventing hallucinations
- Compatibility with commercial and local LLMs, allowing compliance with strict data‑privacy and security mandates
- Seamless integration into existing engineering processes with simple PDF upload and no AI model training required
- Flexible deployment options: private SaaS, on‑premise, or secure cloud environments