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Product form resolving into ranked design-risk plates

WYM-ACC-tatvam · Design Risk & DFMEA · formerly Pragna AI

Tatvam

tatvam - essence, the underlying principle of a thing

The whole failure-mode workflow in one control room, auditable end to end.

Tatvam is an AI-assisted DFMEA platform built for medical device and regulated product risk analysis. It brings the full failure-mode workflow into one control room: a product hierarchy tree, a working table for scoring risk, AI-generated failure-mode suggestions an engineer accepts or refines, a risk register comparing initial against residual RPN, and end-to-end traceability from requirements through functions and failure modes to tests. A traditionally spreadsheet-heavy compliance process becomes fast, structured, and auditable.

Initial vs residual

RPN compared in a sortable risk register

Audit-ready

traceability from requirement to test

Problem

DFMEA lives in spreadsheets, so risk scoring is inconsistent, failure modes are missed, and requirements-to-test traceability has to be reconstructed before every audit.

Outcome

A structured, auditable digital risk workflow from product hierarchy through failure modes, scoring, and verification test coverage.

How it works

  1. 01

    Model the product

    The hierarchy of systems, subsystems, and components is captured as the spine of the analysis.

  2. 02

    Discover failure modes

    Candidate modes are suggested from design context; the engineer stays the decision-maker.

  3. 03

    Score the risk

    Severity, Occurrence, and Detection are applied consistently, producing comparable RPN across the programme.

  4. 04

    Trace to verification

    Every requirement resolves to the failure modes it guards and the tests that verify them.

Bill of materials

This pack composes catalog agents. Same IDs as the rest of the catalog.

Systems · Siemens MES MCP · SAP S/4HANA · PI System · Cognex VisionPro · Siemens Teamcenter · Ansys · Figma · GitHub

Modules

  • Product Hierarchy

    The system, subsystem, and component tree that risk analysis hangs from.

  • DFMEA Working Table

    Severity, Occurrence, Detection, and RPN scored consistently across the team.

  • AI Failure-Mode Discovery

    Candidate failure modes suggested from design context for an engineer to accept, refine, or reject.

  • Requirements Traceability

    Requirements to functions to failure modes to verification tests, held as one chain.

Use cases

Composable Architecture · Pairs well with

Accelerators that share systems of record, exchange real-time triggers, and compose with Tatvam.