Acoustic ultrasound imaging tools for industrial asset integrity inspection
DarkVision builds ultrasound-based imaging hardware and analytics for inspecting tubular and pipeline infrastructure. Its stack pairs CAD tools (SolidWorks, Creo, Inventor) and Embedded Linux with a deep ML layer (PyTorch, JAX, MLflow, SageMaker, Vertex AI, Kubeflow), a full hardware-to-insight shop. Accelerating, sales-led US hiring alongside pains around meeting demand and scaling production points to a commercial ramp outpacing capacity.
DarkVision Technologies, founded in 2013 and headquartered in North Vancouver, British Columbia, develops acoustic imaging systems that assess the condition of critical industrial assets. The company designs, manufactures and sells its full solution, spanning sensor arrays, high-speed electronics, pressure-rated tool housings, 3D visualization and ML-driven analytics. Its initial product line targets tubular infrastructure, including in-line inspection and downhole imaging, with expansion into further industrial verticals underway. The privately held company employs 201–500 people across mechanical, electrical, software, machine learning and research disciplines.
DarkVision uses Python, PyTorch, JAX, MLflow, SageMaker, Vertex AI, Kubeflow, Airflow and Prefect for ML and data, FastAPI, Django, React and Vue for apps, AWS and PostgreSQL for infrastructure, plus SolidWorks, Creo and MATLAB.
Yes, hiring is accelerating and focused on the United States, led by sales, with additional roles in engineering, data, manufacturing, HR and operations, mostly at mid-level seniority.
Current work includes scaling production of in-line inspection and downhole imaging tools, ultrasonic imaging development, pressure vessel design, 3D ultrasound visualization, automated reporting pipelines and new business support systems.
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DarkVision's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.