Apera AI builds vision software that lets industrial robots from ABB, Fanuc, Yaskawa and Universal Robots perceive and pick parts, built on Python, C++, PyTorch, OpenCV and NVIDIA GPUs. Its job posts point to a push from on-premise hardware toward cloud deployment, with Terraform, AWS CDK and a new device connectivity layer aimed at replacing third-party remote-access tools. Hiring is accelerating and engineering-heavy, with a strong intern pipeline.
Apera AI is a Vancouver, BC-based company founded in 2016 that develops 4D vision technology for industrial robotics. Its software combines computer vision and deep learning so robots can handle tasks such as part picking in manufacturing settings. The platform integrates with major robot brands including ABB, Fanuc, Yaskawa and Universal Robots, and the company sells to OEMs with a commercial focus on the US automotive market. Apera AI is privately held and employs 51–200 people, with current hiring based in Canada.
Apera AI uses Python, C++, PyTorch, OpenCV, Qt and CMake on NVIDIA GPUs, with Docker, Terraform, AWS CDK, AWS and GCP for infrastructure, plus Vue, React and Flask for web tooling.
Apera AI's stack includes ABB, Fanuc, Yaskawa and Universal Robots, indicating its vision software integrates with these industrial robot platforms.
Yes. Hiring is accelerating and centered on engineering, with many intern and senior roles plus some sales hiring, all based in Canada.
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Apera AI'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.
