Therness - AI-Powered Welding Inspection

About Therness

Therness is a Politecnico di Torino spinoff building AI-powered thermal monitoring for weld quality assurance in industrial manufacturing. The platform combines real-time thermography, visual inspection and machine-learning models trained on production environments to eliminate weld defects and produce audit-ready evidence packages.

Website: therness.com

🎯 Highlights

Spinoff origin: Politecnico di Torino — DIMEAS, born from the Thexor research group’s work on thermography and NDT.
Investment: Selected for the Tech4Planet Pre-seed investment program (CDP Venture Capital SGR).
Compliance: Audit-ready outputs aligned with ISO 17635 and ISO 3834.
Deployment model: map & baseline → pilot & validate → roll out & train.

🔧 Product Portfolio

Software

HeatCore Basic — operator-grade thermal monitoring with live weld-pool view, temperature analytics and ISO 17635 evidence.
HeatCore AI — inline anomaly detection and Kaizen reporting on top of HeatCore.
HeatCore Robotic — turnkey thermal-AI configuration for robotic welding cells.

Hardware — thermal cameras

HeatCam IR-C — industrial reference sensor, QVGA LWIR, up to 2000 °C, PoE / GigE Vision.
HeatCam IR-S — compact variant for tight or embedded installs.

Hardware — visual camera

PoolVision — 480 fps high-definition visual camera with integrated laser-safe illumination.

Specialised systems

HeatScan — purpose-built real-time thermal monitoring and anomaly detection for induction pipe welding.

Free tools

AI NDT Agent — generates ISO 9712 / ASNT Level III compliant NDT procedures (UT, RT, MT, PT, VT) on demand.

🛠️ Services

Industrial thermography
PV thermography by drone
Electrical panels thermography
Welding process consulting
Quality AI agents & QMS integration
IEC 60079 compliance support

🏭 Industry Applications

Heavy manufacturing — automotive, aerospace, oil & gas, construction.
Quality control — real-time weld verification and defect detection.
Process optimisation — root-cause timelines linked to process parameters.
Compliance — ISO 17635 / ISO 3834 audit-ready evidence with secure data retention.

🔬 Research Foundation

Therness builds on research carried out at Politecnico di Torino (DIMEAS) on active thermography, machine learning for NDT, computer vision for industrial inspection and real-time quality control. The spinoff is supported by Tech4Planet, Italy’s National Technology Transfer Hub for environmental sustainability, initiated by CDP Venture Capital SGR and bringing together Politecnico di Milano, Politecnico di Torino and Politecnico di Bari with partners including PoliHub, I3P, BINP, Fondazione Politecnico di Milano, a2a, Gruppo Iren, NEVA SGR, Joule (Eni’s business school) and Snam.

🔗 Project Details

Spinoff approval: April 22, 2024
Scientific Coordinator: Prof. Raffaella Sesana
Involved Structures: DIMEAS — Department of Mechanical and Aerospace Engineering
Partner: Tech4Planet S.r.l.

📖 Resources

Therness represents the translation of academic research on thermography and NDT into industrial practice, demonstrating the impact of university–industry collaboration on manufacturing quality.

Last updated on Apr 22, 2024