How it works
From read-only connection to a verified answer
TraceMap's journey is deliberately simple on the outside — even though a lot of careful work happens to keep every answer trustworthy.
Diagram C — The four-step journey
Connect, Understand, Verify, Answer — the shape of every TraceMap deployment.
The journey, step by step
Four steps, five agents, one verified answer
Connect
TraceMap connects to your systems on a strictly read-only basis and automatically discovers your data landscape — warehouses, repositories, and BI tools.
- Discovery agent
Understand
AI reads your code and metadata the way an engineer would, mapping how data flows across systems down to the column level — gathering extra context when a mapping is ambiguous.
- Understanding agent
- Reasoning agent
Verify
Every finding is checked against your live schemas before it is accepted. Anything uncertain is routed to a human for review, with the reasoning attached.
- Verification agent
Answer
Explore the interactive graph yourself, or just ask a question in plain English and get an accurate, visual answer — and every correction you make feeds back in.
- Learning agent
Questions
Frequently asked questions
Can’t find what you’re looking for? Reach out and we’ll answer it directly.
TraceMap deploys inside your own cloud environment, connects to your systems on a strictly read-only basis, and never handles your credentials. Sensitive data is sanitized before any model call.
BYOM lets you use your own model within your environment, so your code and metadata never leave it. It gives you control over which model processes your data and where that processing happens.
Inside your own cloud environment, alongside the systems it maps. You keep control of the infrastructure, the network boundary, and who has access.
TraceMap is built to understand SQL, Python, and pipeline code broadly, across the warehouses, code repositories, and BI tools common in modern data stacks — without needing a purpose-built connector for each one.
Every relationship the AI proposes is independently verified against your live schemas before it is accepted. Anything uncertain is routed to a human review queue instead of being presented as fact, and corrections feed back in to improve future accuracy.
TraceMap automatically discovers your data landscape and proposes its own configuration for your approval, which is designed to take days, not the months typical of hand-configured lineage tools.
No. TraceMap’s AI-native approach reads code and metadata directly, so new languages and tools are typically supported without engineering work on your side or ours.
Yes. Conversational analysis lets non-technical users ask plain-English questions about impact and lineage and get accurate answers with visual context, without needing to navigate a graph.