Discover HeatCore AI
Thermal · Visual · AI

AI Weld Monitoring — Detect Defects in Real-Time

Stop scrap before it happens. Our welding cameras and AI flag porosity, lack of fusion and process drift live on the line — with ISO 17635 / 3834 evidence generated automatically.

100%welds monitored
480 fpsweld-pool imaging
<100 msdefect decision
Official Spin-off of Italy's Top Technical University
Live · 480 fps · CMT weld pool

Born at Politecnico di Torino — official spin-off of Italy's top technical university, backed by T4P.

Why Therness

Inspect every weld. Not just samples.

Traditional inspection samples a fraction of production after the fact. Therness sees all of it, live.
Artificial intelligence defect detection icon

Detect

Real-time AI flags porosity, lack of fusion and anomalies — no manual review required.

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Prove

Pre-set acceptance criteria and auto-logged evidence keep you audit-ready for ISO 3834.

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Scale

One platform manages weld quality across robotic lines and global plants.

Product Families

One platform. Thermal, visual, and AI.

Start with thermal monitoring. Add high-speed visual and edge AI as your coverage grows.
HeatCore AI weld monitoring — live thermal analysis on welding line Flagship
HeatCore AI

Inline thermography with defect AI

Bolts onto robotic cells, captures the weld pool at 60 FPS, and classifies which welds pass, which fail, and why — with an evidence pack for every seam.

Real-timeanomaly scoring
Pass / failper seam
Edge AIon-prem, no cloud
ISO 17635evidence packs
Inspect Every Weld. Not Just Samples.

Traditional inspection vs AI monitoring

Before

Traditional inspection

  • Sample-based inspections
  • Complex and time-consuming audits
  • Operator dependency
  • Rework
  • Limited process control
After

AI monitoring

  • Real-time detection
  • 100% weld monitoring
  • Scalable across production lines and plants
  • Simplified audits and full traceability
  • Fewer returns and rework
Fresh from the line

Latest weld monitoring videos

New high-speed and thermal footage from real welding cells — weld pool, droplet transfer, and WAAM, straight off our cameras.
PoolDrop Every droplet visible — CMT welding at 480 fps

Every droplet visible — CMT welding at 480 fps

Vertical 480 fps short: every droplet detaching in a Cold Metal Transfer arc, with the weld pool and solidification front resolved frame by frame and arc glare filtered out.

High-speed welding camera →
WAAM Wire-arc additive manufacturing of a gear tooth

Wire-arc additive manufacturing of a gear tooth

A gear tooth grown layer by layer with wire-arc additive manufacturing (WAAM) — a high-speed view of the deposition and melt pool that in-situ thermal monitoring tracks for layer consistency.

WAAM additive monitoring →
PoolDrop CMT droplet transfer — PoolDrop Cam Short at 480 fps

CMT droplet transfer — PoolDrop Cam Short at 480 fps

Quick vertical clip: Cold Metal Transfer welding filmed at 480fps with the PoolDrop Cam — droplet transfer and melt pool with arc glare filtered out.

High-speed welding camera →
HeatCore Burn-through under a high-speed camera

Burn-through under a high-speed camera

The exact moment a weld pool collapses on a tee joint — burn-through captured frame by frame, and how real-time monitoring catches the precursor.

High-speed welding camera →
Free Tools

AI NDT Agent — Procedures in Seconds

Draft ISO 9712 / ASNT Level III compliant NDT procedures instantly (UT, RT, MT, PT, VT) — free.
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Instant Procedure Drafts

Receive a structured procedure with scope, equipment, calibration, and acceptance criteria.

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Standards-Ready

Aligns to ISO, ASME, EN, and AWS references for faster Level III review.

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Expert Follow-Up

Leave your contact and our thermography specialists follow up with tailored guidance.

FAQ

Weld monitoring FAQs

Quick answers for engineers and quality teams evaluating inline weld monitoring, thermography, and compliance evidence.
Does Therness replace traditional NDT (UT/RT/PT/MT)?

It reduces defects by catching issues in-process and creates traceable evidence for every seam, but your final inspection plan depends on risk, customer requirements, and applicable standards. Many teams use Therness to prevent defects and to support ISO 17635 / ISO 3834 documentation.

What defects can you detect with AI weld monitoring?

We flag thermal/anomaly patterns correlated with porosity, lack of fusion risk, overheating and process drift. Coverage depends on your material, geometry and how we set acceptance criteria.

How does active thermography help weld inspection?

Active thermography measures thermal response to controlled excitation and highlights subsurface-related anomalies earlier than visual inspection. See the full guide at Active Thermography for NDT.

How long does installation and setup take?

Typical deployments start with a pilot cell: mount sensors, calibrate optics, align thresholds and train models on your production reality. To scope your line, talk to an expert.

Can you integrate with our QMS or PPAP/CAPA workflows?

Yes. Evidence packs and decisions can feed quality workflows and audits via API integrations with your existing QMS.

What ROI should we expect?

ROI depends on scrap/rework cost, throughput and defect rate. Request a detailed ROI analysis on the contact page.

Proof, not promises

Therness AI weld monitoring in the field

Real installs, real demos, and real defects caught — on production lines, at trade shows, and under our own high-speed cameras.

Let’s Talk

Quick question or ready for a demo? Drop us a message and we’ll get back to you within 24 hours.

Need a detailed consultation? Use our full contact form

Contacts

Still have doubts? Contact us!

Have questions or need more details? Reach out to us—we're ready to support your journey toward smarter welding.
Email icon

Email

Speak directly with our team for quick assistance and expert guidance.

info@therness.com
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Phone

Drop us a message, and we'll get back to you as soon as possible.

+39 011 2424158
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Headquarters

Visit us and see how Therness is shaping the future of welding.

Corso Castelfidardo 30/A, Torino

Progetto cofinanziato nell'ambito del PR Piemonte FSE+ 2021-2027,
Priorità I, Obiettivo Specifico a), Azione 4 – "Sostegno alla nascita delle start up"