PointGrab is an Israel based business that offers a platform which includes an image sensing a cloud and hardware unit management program called CogniPoint, which they say might help building maintenance managers reduce operational costs by using AI to automate as well as enhance facility management. PointGrab claims computer users can integrate the CogniPoint formula of theirs into current building automation systems. Furthermore the Cognipoint sensor is actually installed to certain rooms in the structure to monitor the amount of occupants. The sensor could be hooked up to the buildings' present local area network (LAN), Power over Ethernet (POE) or perhaps WiFi connections. The company claims each of the sensor products of theirs are able to cover up to forty eight square meters (or maybe 520 sq ft).

Israel's PointGrab has raised $7 million in funding for its sensors for smart buildings. The investors include lighting company Philips Lighting; Mitsubishi UFJ Capital Co. (MUCAP), a venture capital arm of Japan's largest financial group; and existing investors ABB Technology Ventures (ATV) and others. Israel-based PointGrab makes CogniPoint, a smart-sensing solution that detects people in buildings and shuts off lighting if there's no one around who needs it. The goal is to enable effective building management and save money through energy efficiency. By embedding deep learning neural networks technology into cost-effective, miniature, and connected optical sensing devices, PointGrab's CogniPoint sensing solution provides analytics in the detection of occupants' locations, count, and movements.

PointGrab has announced a new white paper that explores the impact of deep learning-based smart sensor technology on building automation management. The white paper was developed to help building automation industry stakeholders, from device manufacturers to building managers, better understand the long-term benefits of deep learning-based technology. The paper, "Smarter Sensors: How Deep Learning is Transforming Building Automation," addresses the challenges and opportunities presented by Internet of Things (IoT) device proliferation and data collection and analytics throughout the smart building ecosystem. In this data-rich environment, sensors can be much smarter by sourcing and analyzing richer levels of data and enabling the execution of more sophisticated tasks that go beyond traditional energy consumption management.