Developing complex hardware involves managing numerous specifications, which can lead to errors, inconsistencies, and costly rework if not properly tracked and maintained. Traditional requirements management processes often lack the real-time collaboration and robust traceability needed to handle the intricacies of modern hardware development.

Trace.Space offers an AI-driven requirements management system designed to streamline the development of complex hardware. The platform provides a collaborative environment where teams can efficiently manage specifications with robust traceability, versioning, and real-time updates. By leveraging AI, Trace.Space automates tasks such as identifying missing traces, suggesting improvements based on INCOSE and EARS rules, and enabling semantic search across all requirements. This helps teams reduce errors, improve collaboration, and ultimately avoid costly rework.

Word-like document editing experience with real-time collaboration

Robust traceability, time-based and custom versioning, and item-level attributes

Multiple view options (Document, Rich, Table) to adjust to different workflows

AI semantic search to easily find requirements regardless of spelling variations

Smart import to convert data from Markdown or Word documents into individual items

AI-driven suggestions for improvements based on INCOSE and EARS rules

AI-suggested traces to identify potentially missing or incorrect connections

Chat interface for asking questions about requirements

Variant and configuration management

API for workflow customization

SOC 2 Type II compliant security with robust backup, recovery, and encryption

The primary target audience includes engineers and product development teams in industries such as automotive, aerospace, and defense who are developing complex hardware systems.