Tiny change. Massive Delay.
AI that Removes BlockersAcross Engineering
AI That Understands Engineering Change
AI detects broken links, missing coverage, and risky changes – before they cause delays.
API-First and Extensible by Design
Integrates cleanly with your engineering stack – from Git to testing, PLM, and workflows unique to your org.
Built for Large-Scale Engineering Workflows
Fast UI, high performance, and robust data handling – designed for teams building layered, high-volume systems.
Enterprise FoundationsThat Scale
Enterprise-Grade Security
SOC 2, ISO 27001, and industry-specific compliant infrastructure with encryption at rest and in transit – built to meet the highest standards of data protection.
Private Cloud Deployment
Deploy in your own Virtual Private Cloud (VPC) or air-gapped environment for full control, compliance, and performance at scale.
AI Model Control, Your Way
Use your own LLMs or models hosted by Trace.Space – with clear boundaries and no data leaks. Your engineering data stays private, always.
How Trace.Space Works
From chaos to clarity, see how Trace.Space brings structure, speed, and precision to engineering collaboration.
Import the Chaos
Bring in requirements, tests, and change logs from files or tools. Trace.Space ingests data from PDFs, DOCs, JIRA, Git, Confluence, and APIs – including existing trace links – and instantly creates a central system.
Generate Structure
AI maps trace links, detects missing coverage, and flags inconsistencies across layers. Your requirements, tests, and design artifacts become a living, connected graph – without spreadsheets or manual linking.
Colaborate in Live Sync
Review, comment, and approve directly in the system. Every change stays connected to its rationale, impact, and trace context – so hardware, software, and systems teams stay aligned and move faster together.
Remove blockers
AI continuously analyzes your trace graph to surface blockers – missing links, unverified changes, or downstream risks that make integration painful. You don’t just catch issues early – you remove the friction before it ever turns into delay.
Industry Use Cases
Trace.Space powers next-gen product development in:
Integrations & API
Frequently Asked Questions
Everything enterprise teams need to know about security, deployment, and functionality.
Is Trace.Space available for on-premise deployment?
Yes. Trace.Space supports deployment in VPC, air-gapped, and fully on-premise environments. We understand the need for data sovereignty and security in regulated industries. Enterprise customers can choose a managed cloud deployment or self-host Trace.Space to meet internal IT and compliance requirements.
Can Trace.Space support our existing regulatory and compliance needs (e.g. ISO 26262, ASPICE, DO-178C)?
Yes. Trace.Space is built for safety- and quality-critical development. Generated requirements follow industry-compliant templates, and the system enforces structure, rationale, and verification coverage from the start. We support export for audits and offer trace coverage analytics aligned with automotive, aerospace, and medical standards.
How does AI help without taking control away from engineers?
Trace.Space uses AI to suggest – not dictate. AI helps structure requirements, generate trace links, and surface rationales or missing context based on prior data. Engineers always stay in control: they review, accept, or override suggestions. It’s augmentation, not replacement.
How do we migrate from our existing toolset (e.g. Jama, DOORS, spreadsheets)?
Trace.Space supports structured import from legacy tools and unstructured formats. Whether you’re migrating from a legacy platform or starting from fragmented documents, Trace.Space can ingest PDFs, DOCs, spreadsheets, JSON, and requirements from APIs – then normalize and organize them into a clean, traceable system.
Built for Enterprise Engineering Teams
Ready to simplify complexity at scale?
Transform the way your enterprise manages engineering workflows.