MANUFACTURING INSPECTION & INTELLIGENCE

See quality.
Understand
production.

Turn production images into actionable quality evidence. Compare parts with approved samples, review potential defects, and trace patterns across every batch.

Built for quality engineers. Designed for the factory floor.

Illustrative industrial robotic arm positioned above a machined component
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FROM OBSERVATION TO ACTION
INSPECTION FS-01872Review
Precision Housing A17

Potential surface scratch

Concept visual · illustrative inspection
ONE CONNECTED QUALITY WORKFLOWObserve→Compare→Review→Trace→Improve

01 / THE PRODUCT

A clearer view of
what leaves your line.

ForgeSight brings the image, the reference, the inspection decision, and the production context into one record. Start with one component. Build a reliable quality history.

FORGESIGHT / QUALITY WORKSPACEOpen interactive demo ↗

INSPECTIONS / FS-01872

Precision Housing A17

Needs review
APPROVED REFERENCE REV. 03
PRODUCTION SAMPLE 01 OBSERVATION
⌖
Potential surface scratch

Upper-right mounting surface · not present in approved reference

Review evidence →
SN-028814BATCH B-204LINE 03 / STATION 04ILLUSTRATIVE SAMPLE DATA
01

Find the difference.

Inspect a production image beside the approved reference, with observations placed directly on the component.

02

Keep the evidence.

Connect the original image, reference revision, reviewer decision, and notes in a traceable inspection history.

03

See the pattern.

Move from isolated findings to batch-level trends, so your team knows where to investigate next.

02 / SEE THE WORKFLOW · 1:20

One part.
A complete quality story.

Watch a recorded walkthrough of the interactive prototype: compare a sample, review the evidence, save a decision, and investigate the batch. No sound needed.

Recorded from the working prototype · sample records and illustrated parts · simulated model findings

THE MANUFACTURING BLIND SPOT

Your factory produces
more than parts.
It produces evidence.

Inspection photos in one folder. Quality results in a spreadsheet. Batch details in another system.

When those signals stay disconnected, engineers spend time reconstructing what happened. ForgeSight is being built to connect the evidence—so every finding has context, and every decision leaves a record.

Production imageryApproved referencesQuality decisionsBatch history

03 / HOW IT WORKS

From first image
to informed action.

A focused workflow for quality teams. Your engineer stays in control of the final inspection decision.

04 / BEYOND A SINGLE INSPECTION

Find the part.
Understand the batch.

A defect becomes more useful when you know where it came from. Connect observations to products and batches, then open the evidence behind each trend.

BATCH QUALITY / SAMPLE DATA3 batches

Where should we look next?

B-202
2.5%
B-203
5.0%
B-204
12.5%

Share of inspected units in Review or Reject · 40 units per batch

↗

Batch B-204 needs a closer look.
5 of 40 sample inspections require attention. Open the records before drawing a conclusion.

Explore batch evidence ↗
FORGESIGHT COPILOT✧

Ask your quality history.

Which batch needs attention?
✧

In this sample dataset, B-204 has the highest share of inspections in Review or Reject: 5 of 40 units (12.5%).

Start with the open review records. This identifies a pattern, not its root cause.

↗ B-204 · 40 inspection records
Try the sample Copilot ↗Prototype answers are calculated from local sample records.

05 / BUILT WITH CLEAR BOUNDARIES

Evidence first.
Engineer in control.

ForgeSight supports inspection decisions. Model observations, human dispositions, and production context remain separate and traceable.

⌖

Visible evidence

Keep the original image beside the reference. Every observation points to a region and an inspection record.

✓

Human review

Confirm or override findings with a reason. Unusable images should trigger a retake, not a confident result.

⇄

Flexible infrastructure

The planned architecture separates the application, storage, job processing, and model adapters. No mandatory cloud vendor.

A FOCUSED START. A LARGER VISION.

One inspection workflow today.
A connected factory over time.

Interactive prototype

Sample comparison, human review, local history, batch analytics, reports.

Pilot development

Private accounts and durable inspection storage are available in the pilot workspace. Validated vision inference and real component datasets are next.

Future platform

Camera feeds, machine context, document intelligence, process correlation.

DESIGNED AROUND REAL PRODUCTION WORK

Start where quality
can be seen.

01 / INITIAL FOCUS

Machined components

Reference-based review of visible surface conditions and component features.

02 / EXPANSION PATH

Assembly inspection

Explore missing components, orientation, and visible assembly variation.

03 / EXPANSION PATH

Fabrication quality

Extend to defined visual criteria with process-specific data and validation.

BEFORE YOU GET STARTED

Practical questions.
Clear answers.

What can I try in the demo?

Compare illustrated sample parts, review scripted findings, save inspection decisions in this browser, explore batch records, ask supported questions, and export a report. It is an interactive prototype; it does not run a trained defect-detection model.

Can I upload my own images?

Yes. The demo can display a local reference and production image for manual review. Uploaded images stay in the current tab and are not sent to a server. Automatic AI analysis of arbitrary uploads is not connected.

Does ForgeSight replace a quality engineer?

No. The planned product assists qualified reviewers. Acceptance criteria, image suitability, and final dispositions require human oversight. A visual inspection cannot establish properties that are not visible in the image.

Do we need a robot or special camera?

The first pilot is planned around uploaded images from a consistent inspection setup. The robotic arm is an illustrative brand visual. Camera and line integrations are later work.

How will accuracy be assessed?

Against engineer-labelled images of the chosen component, including acceptable variation and known defects. Pilot measures should include missed defects, false alarms, review time, and inspection latency. No accuracy claims are made for this prototype.

Where is my information stored?

Demo decisions and product names are stored locally in your browser. Uploaded images are held only in the current tab. The separate pilot workspace uses Supabase sign-in and private cloud storage for real human-reviewed inspections. Use the Reset demo control to clear its saved sample records.

START WITH ONE COMPONENT

Make the next
inspection count.

Define the part, the visible defects, and what success looks like. A focused pilot is the first step toward reliable production intelligence.

Explore the demo ↗
  1. 01
    Choose the component

    One part family. One inspection station.

  2. 02
    Define the evidence

    Approved references and labelled examples.

  3. 03
    Agree the measures

    Missed defects, false alarms, review time.

PILOT PLANNING

Define your first use case.

Download a brief to share with your team. This form stays in your browser; nothing is submitted.