Define the source scope
Every rollout starts with a clear source, connection, and decision about what should be collected.
Product
Polytrace connects to your sources, captures incoming records while keeping every version, turns them into search and structured data, flags important changes, and publishes controlled outputs for people and systems. The workflow stays explainable because every result stays tied to the source record behind it.
Principles
Workflow
Every rollout starts with a clear source, connection, and decision about what should be collected.
Discover, fetch, parse, and store new material while keeping a clear history of what arrived and when.
Use the same captured material for search, collections, extraction, review, monitoring, and sharing.
Keep access rules, redaction, and audit controls attached as information moves through the workflow.
Keep syncing, parsing, indexing, extracting, alerting, and sharing separate behind the scenes so the system stays reliable.
Comparison
| Layer | Primary job | Why it matters |
|---|---|---|
| Source connectors | Sign in, find data, and pull it from each provider | Keeps provider-specific behavior out of product logic |
| Capture service | Apply source filters and keep track of sync progress and parsing work | Makes capture explicit and repairable |
| Records service | Store records and their history with a clear source trail | Keeps a trustworthy system of record |
| Search and extraction | Turn captured data into search and structured outputs | Turns source material into working data |
| Change monitoring | Turn change events into alerts, digests, and insight outputs | Makes monitoring operational |
| Sharing and access controls | Publish controlled outputs with access and audit coverage | Lets teams share the result safely |
Every rollout begins with a clear source, connection, and source scope. That is the difference between a trustworthy working layer and an opaque sync job that nobody can explain later.
Polytrace makes scope, exclusions, rescans, and progress explicit so teams know what is being collected, how it is being accessed, and where each run stands.
Once a source is active, Polytrace runs the same core flow: discover, fetch, parse, match to the right record, and save. Hosted inboxes and archive uploads add the source-specific steps they need, but they still land in the same record model.
Because Polytrace keeps earlier versions instead of overwriting them, retries and reprocessing are easier to trust. The system preserves what happened instead of rewriting history.
From that capture layer, teams can search the underlying record, extract structured fields, review corrections, monitor changes, and share outputs without rebuilding the same logic in several different tools.
That is why the product supports many surfaces. Polytrace is the shared data layer underneath those surfaces.
Access controls, redaction, and audit events are carried through the output path so teams can share the result without losing accountability.
That separation matters because sharing rules should control who can see the output while leaving the underlying captured record intact.
Polytrace separates syncing, parsing, indexing, extraction, change monitoring, and sharing into dedicated services and workers. Slow or failing background tasks do not need to block capture or the user-facing app.
The result is easier to operate, easier to repair, and easier to extend with new providers and output channels.
Related pages
Use the closest product, workflow, or security page to continue the evaluation.
Polytrace turns operational communications into usable working data teams can trust.
Open pageSee how Polytrace brings inboxes, files, archives, and websites into one capture workflow with clear scope and controls.
Open pageSee how Polytrace turns messy records into fields, evidence, and up-to-date operating tables teams can use.
Open pageSee how Polytrace publishes controlled outputs to the right audience without overexposing the full record.
Open pageFAQ
Polytrace works across email messages, attachments, archive files, shared-drive documents, calendar data, and captured website content. Exact rollout scope depends on the workflow, permissions, and how much of the source record the team needs to keep available.
No. Polytrace captures records, keeps later versions, and creates search indexes and shared outputs without changing the underlying source data.
Runs are explicit and repairable. Teams can resume work, reparse, or rescan with controlled policy changes instead of relying on silent background fixes that are hard to audit later.
Because access, redaction, and sharing controls should govern the output path while leaving the underlying captured record intact. That keeps the evidence stable while still allowing different audiences to see different views.
A useful next step is a specific product page such as capture, extraction, monitoring, or controlled sharing. If your team is already in technical review, continue with the security pages.
Next step
A strong walkthrough starts with one real process and follows it from source capture to the controlled output people actually use.