IBM DOORS was built to bring order to complex engineering programs. For years, it helped teams formalize requirements, enforce traceability, and meet compliance needs. But modern development operates at a different scale. 

Software-defined behavior, regulation, and global teams have driven an explosion in complexity. Teams now manage orders of magnitude more requirements, traces, and changes than legacy tools were designed to handle. This shift has exposed structural limits in legacy requirements tools.

IBM DOORS was meant for small groups of specialized experts. Today, it still requires deep tool-specific knowledge, extensive training, and dedicated administrators. For many engineers, everyday work in DOORS is slow and unintuitive, pushing teams toward spreadsheets and informal workarounds. Meaningful bug fixes and product innovation have largely stalled, leaving organizations dependent on a tool that has not kept pace with modern R&D.

Trace.Space is built for the reality of modern systems engineering: high complexity, fast iteration, and continuous change. Instead of treating requirements as static records, Trace.Space treats them as living system assets that evolve continuously as products change.

‍AI-Native, Embedded in the Workflow
‍AI is built directly into everyday engineering work to accelerate requirements creation, analyze traceability in real time, and surface change impact, gaps, and duplication early.

‍Built for Scale
‍Trace.Space is designed to handle hundreds of thousands of interconnected requirements and traces without performance degradation or workflow slowdowns.

‍Deployment on Your Terms
‍Trace.Space can be deployed on-prem or in the cloud, giving you full control over security, compliance, and infrastructure without sacrificing functionality or speed.

‍Custom Integrations & Features
‍Open APIs and flexible architecture allow Trace.Space to integrate seamlessly with your existing tools. You can shape the product through custom features and integrations built together to support your most complex real-world needs.