Fig. 1 — value proposition

Transforming PLM data into an advantage.

Cross-check prints, solids, and PLM fields before variance turns into scrap, rework, or a stalled integration.

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Project — product data confidenceRev ASheet 01 / 01Scale NTS

About Totus

Totus is the audit layer across 2D, 3D, and PLM: duplicate and near-duplicate parts, silent mismatches, and integration risk—surfaced with citations back to the files your team already trusts.

Notes — why teams spec Totus

Catch bad part data before it becomes scrap

Reconcile 2D revisions, solid models, and PLM fields while the mismatch is still cheap to fix—not after release or rework.

Duplicate parts: prove it with geometry, not gut feel

Rank likely twins and near-matches so consolidation teams retire the right numbers and keep one source of truth.

Inherited BOMs, readable on day one

Turn post-merger dumps into an audit trail: gaps, conflicts, and integration risk called out in engineer-grade language.

Coverage

2D print & PDF review

3D solid compare

PLM / BOM attributes

Dup & near-dup signal

M&A data readiness

Private demo (NDA)

How we work

Precision

Findings grounded in drawings, solids, and metadata—not generic LLM fluff.

Discretion

Workflows that respect export control, NDA, and how you already gate CAD.

Throughput

Surface the highest-impact issues first; less manual screening, more decisions.

Velocity

From file drop to a reviewed queue in hours, not another quarter of triage.

Detail B — platform

One drawing set. One truth for product data.

Prints, solids, and PLM context on a single sheet: investigate with traceable evidence, then cut scope to what actually moves cost and schedule.

REF 01

PLM & records

Stop triaging product data in spreadsheets

One pass over drawings, CAD, and attributes—structured findings you can trace, not a pile of disconnected notes.

REF 02

3D geometry

Same part number, different solid? You’ll see it.

Native comparison workflows for similar and diverged geometry—fewer false positives, less “looks close enough.”

REF 03

Control & custody

IP stays inside the workflow you define

Built for controlled access, confidential datasets, and processes that match how you already protect design data.

REF 04

Priorities

From noise to a ranked punch list

Give ops, engineering, and corp dev the same ordered view: what to fix first, and why it moves cost or risk.

Op sequence

Raw files in → ranked work orders out.

01

Ingest — drawings, solids, PLM

Pull fragmented sources into one review surface: prints, models, and attributes indexed for audit, not archaeology.

02

Analyze — AI-assisted, geometry-aware

Run checks and comparisons tuned for real-world variance: duplicates, mismatches, and silent gaps in the record.

03

Act — ship the work, not the slide deck

Hand teams a short, defensible list tied to savings, schedule, and integration risk—ready for sign-off.

General note — next step

Put your engineering record under review—before the line does.

Book a controlled walkthrough: PLM audit paths, geometry compare, and how Totus hands off a defensible punch list to your team.

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© TOTUS AI · ENGINEERING DATA CONFIDENCE

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