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Reeva is an AI workflow platform for manufacturers. You build agents that read engineering documents and structured data from your existing systems — Teamcenter, SAP, file shares — apply AI to extract or classify what matters, and write the results back to the systems your team already uses. The most common job: keep engineering documents and data linked and consistent across Teamcenter and SAP, so your engineers stop rekeying specs and your operators stop chasing the “real” version of a part.

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What you can do with Reeva

  • Link documents across systems. Match Teamcenter drawings, datasheets, and specs to the corresponding SAP material masters and BOM lines.
  • Extract structured data from documents. Pull attributes from PDFs, spec sheets, and CAD metadata and write them to the right field in the right system.
  • Validate and route changes. Detect engineering changes, classify them, and route them through review before they hit downstream systems.
  • Monitor everything. See what each agent produced, with confidence scores, in one place.

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Core concepts

Agent

A reusable workflow made of ordered steps. Each agent has a single responsibility — for example, “link new Teamcenter drawings to SAP materials.”

Step

The building block of an agent. Steps come in four types: trigger, action, AI, and decision.

Integration

A connection to an external system (Teamcenter, SAP, S3, webhook). Agents read from and write to integrations.

Monitor

The shared view of every item your agents have produced. Filter by status — published, flagged, linked, queued — and review what needs attention.

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Step types

Every agent is made of these four step types, in any order:

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Where things live in the app

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Next steps