
INGU | Ensuring Pipeline Safety, Integrity, and Performance
INGU’s Pipers ® solution pairs a baseball-sized free-floating multi-sensor system with AI powered data analytics and a GIS Pipeline viewer. The Pipers ® solution accurately identifies and …
About Us - INGU
INGU can be your partner for pipeline condition assessment, as it is for many of the world's leading companies. INGU is revolutionizing pipeline integrity programs by providing pipeline …
Identificación y clasificación de soldaduras | INGU
INGU Weld Net, la red neuronal de identificación de soldaduras de INGU, es una implementación de U-Net, una arquitectura de aprendizaje profunda ampliamente utilizada que se introdujo …
PTC 2025 | INGU
The INGU team is looking forward to the conference, exhibition, and meeting with our fellow pipeline industry professionals. Visit the PPIM 2025 exhibition on us! For a free exhibition …
Classificação e identificação de soldas | INGU
Usamos um conjunto de treinamento de 110.000 amostras para treinar o INGU Weld Net, o que resultou em 95% de reconhecimento automatizado de soldas. Uma tarefa que normalmente …
Our International Partners in Pipeline Health | INGU
"INGU offers an accurate solution to an ongoing problem with pipeline health across Australian local and remote locations. Our clients can now access self-serve, cost-effective analysis …
Pipeline Inspection Capabilities of INGU's Pipers® | INGU
INGU’s Pipers ® in-line inspection solution offers an efficient and economic way to safeguard your pipeline’s integrity and fostering optimized performance.
Pipeline Magnetic Feature Detection | INGU
INGU offers accurate magnetic feature detection for pipeline safety, integrity, and operational efficiency.
Press - INGU
February 2, 2022 - INGU Solutions has established it's U.S. office in Houston and is ready to tap into the city's energy industry with it's revolutionary pipline inspection-as-a-service model. “The …
Case Study: Pipeline Pressure / Velocity Profile & Mapping | INGU
Our client deployed two Pipers® to assess the flow and wall condition of the mine’s UDS. INGU’s analysis validated the data collected at various points along the UDS.