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TraceMap

An AI-powered, enterprise-grade platform that maps how data flows across your systems down to the column level — and keeps that map continuously accurate.

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Meet the agents

Five specialized agents, one verified answer

Every relationship TraceMap shows you passed through all five — discovered, understood, reasoned about where needed, independently verified, and improved by the last human correction.

  • 01

    Discovery

    Autonomously maps your data landscape — warehouses, repositories, BI tools — and proposes its own configuration for your approval. Onboarding in days, not months.

  • 02

    Understanding

    Reads SQL, Python, and pipeline code like an engineer would, extracting column-level lineage from any language or tool — no hand-built parsers, no connector backlog.

  • 03

    Reasoning

    When code alone isn’t enough — dynamic references, ambiguous mappings — it gathers the surrounding context needed to resolve the answer instead of guessing.

  • 04

    Verification

    Every proposed lineage edge is independently checked against your live schemas before it’s accepted; anything uncertain is routed to human review with the AI’s reasoning attached.

  • 05

    Learning

    Every human correction makes the platform smarter automatically; accuracy compounds over time without vendor intervention.

Why this is a generational leap

Not an incremental upgrade — a different foundation

Traditional lineage tools

TraceMap

  • Hand-coded parsers, one per dialect

    AI that reads code like an engineer

  • Months of connector setup

    Autonomous discovery, days to value

  • Static graphs only engineers can use

    Plain-English answers for anyone

  • "Trust us" black-box output

    Verified edges with visible provenance

  • Degrades as your stack changes

    Improves with every correction

Interactive Lineage Graph

Trace any column across every system it touches

Engineers and architects can navigate the full graph, follow a highlighted path from source to destination, and see exactly which tables, reports, and pipelines a column feeds.

Conversational Analysis

Ask in plain English, get an accurate answer with visual context

Business and compliance users don’t need graph-navigation skills. Ask a question like the one above and get an instant, accurate answer grounded in the same verified graph.

Human Review Inbox

A queue for anything the AI isn’t sure about

Findings below the confidence threshold never get presented as fact. They land in a review queue where a data steward confirms or corrects them — and TraceMap learns from the answer.

Accuracy you can audit

TraceMap never presents unverified AI output as fact

Every part of the pipeline from proposal to acceptance is designed to be checked, not just trusted.

  • Verified against live schemas

    Every relationship TraceMap proposes is independently checked against your actual, current schemas — not just inferred from code.

  • Confidence scoring

    Each finding carries a confidence signal, so you always know how sure TraceMap is before you rely on it.

  • Human-in-the-loop review

    Anything below TraceMap’s confidence threshold is routed to a review queue — a data steward decides, not a black box.

  • Provenance on every relationship

    See exactly where each connection was found, so you can trace an answer back to its source instead of taking it on faith.

Column-level, not table-level

See the exact path — and where it was verified

ProvenanceVerified in stg_orders.sqlorders.customer_idstg_orders.customer_idrevenue_report.customerorders.order_idstg_orders.order_idsupport_tickets.customer_id

Diagram B — Column-level lineage sample

A verified path highlighted end to end, with a provenance callout showing where the connection was confirmed.

Where TraceMap fits

Built for the moments lineage actually matters

  • Impact analysis before schema changes

    Know every downstream table, report, and dashboard a proposed change will touch — before you ship it, not after it breaks.

  • Regulatory data mapping

    Produce audit-grade, column-level lineage with provenance for regulatory obligations like BCBS 239 and GDPR data-mapping.

  • Root-cause analysis for broken dashboards

    When a number looks wrong, trace it back through every transformation to the exact upstream source that changed.

  • Cloud migration planning

    See the true dependency graph across your estate before you move systems, so migrations don’t break lineage nobody knew existed.

Ready to see TraceMap on your own data?

We'll walk through a demo tailored to your systems and use case.

Request a Demo

Prefer email? hello@reasongates.com