Automate Your Documentation Workflow with AI
Organizations developing physical products, software, and complex engineered systems face increasing documentation demands throughout design, development, quality, and compliance phases. Manual documentation processes often depend on fragmented data sources—such as CAD files, BOMs, PLM systems, Jira, GitHub, test reports, and legacy documents—causing inefficiencies, traceability gaps, and audit risks.
AIDocGen, created by Prescient Technologies, is a modular, AI-powered documentation engine that consolidates enterprise data and automatically produces standardized, audit-ready reports. By ensuring complete traceability and version control, AIDocGen supports Continuous Compliance throughout the entire product and software lifecycle—reducing effort, risk, and time-to-market.
Autonomous agents link Jira requirements directly to GitHub commits and test cases. Your teams achieve full traceability and eliminate manual cross-referencing while generating everything from FDA compliance reports to complex technical specifications from source code.
AIDocGen does not require you to change how your team works. The platform features native data connectors, ticket parsers, and code chunkers that integrate directly with your active GitHub repositories and Jira project requirements.
The system seamlessly integrates with top CAD and PLM platforms, such as Teamcenter, to extract CAD attributes and rule logic directly from the source, enabling the AI to generate validation rule documentation in seconds rather than hours.
AIDocGen deploys trusted open-source models completely offline. It runs all AI models on-premise on your private server or cloud, requiring zero internet connectivity to ensure absolute data privacy and security.
Automating the creation of Verification Reports, Hazard Analyses, and Traceability Matrices can prevent the 6 to 12-month delays typically associated with high-risk device documentation.
Automated mapping ensures every requirement is accounted for, significantly reducing the risk of FDA rejections or audit findings.
Free your teams from manual data reconciliation. Automating regulatory documentation can help enterprises reclaim the US$500K to US$1M spent annually on manual reporting.
AIDocGen generates updated digital assets that scale effortlessly with frequent design iterations, ready for export to Word, Excel, or PDF at any moment.
Automate documentation for complex mechanical, electrical, and industrial products— directly from CAD, PLM, BOM, and engineering data sources.
Generate technical documentation from code repositories, Jira, test cases, APIs, and DevOps workflows—ensuring complete traceability.
Create audit-ready documentation for FDA, EU MDR, ISO, aerospace, and other regulated environments—ensuring continuous compliance across the lifecycle.
Link AIDocGen to your Jira requirement databases, GitHub source code, or legacy documentation.
The Schnell AI engine parses the data, builds a RAG-based knowledge base, and extracts complex logic from source code.
AI agents generate the required documentation, customized to your specific corporate or regulatory templates.
Documents are presented in a user-friendly, web-based UI for human reviewers before being exported in regulatory-mandated formats.
Prescient TechnWith a deep legacy in CAD, PLM, and software engineering, Prescient Technologies builds AI solutions that fit seamlessly into your existing digital factory. We create solutions tailored to your architecture to ensure your documentation is not just generated, but fundamentally understood. AIDocGen is an easy-to-deploy container for your private servers, running efficiently on recommended hardware.
At Prescient, we understand that your intellectual property and compliance data are highly sensitive. AIDocGen deploys trusted open-source models completely offline. It runs all AI models on-premise on your private server or cloud, requiring zero internet connectivity to ensure absolute data privacy and security.
Discover how AIDocGen transforms your documentation lifecycle into a streamlined, automated engine.
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AIDocGen features connectors and parsers for Jira Project Tickets, active GitHub C/C++ repositories, legacy codebases, and existing primitive documentation.
Yes. AIDocGen runs entirely on-premise using offline, trusted open-source models. It requires no internet connectivity, ensuring your data stays in a secure environment.
The engine uses specialized parsers that expand preprocessor branches (#define/#ifdef), allowing it to document the actual logic and memory behavior of macro-heavy codebases.
AIDraft features direct plugins for Siemens NX, SolidWorks, Autodesk Inventor, and others, supporting various export formats like DWG, DXF, IDW, and PDF.
Yes. The RAG architecture ensures that every response is traceable to the source data in your Teamcenter or GitHub repository, eliminating errors common in general AI models.