Sensfix

Sensfix provides an AI-powered service platform designed to automate and optimize operations and maintenance processes for various facilities. Founded in 2018 by Balaji Renukumar and Bramh Awasthi, the company is headquartered in Santa Clara, California, with a global presence that includes team members in the U.S., Europe, India, and South Korea. The firm targets a range of sectors, including manufacturing, energy and utilities, smart cities, and commercial building management.

The core of Sensfix's offering is a connected maintenance platform that utilizes multi-modal AI to process diverse data inputs such as live video, images, text, audio, and IoT sensor data. This technology enables automated issue detection, predictive maintenance, and the self-scheduling and self-dispatching of services. The platform features a workflow builder, a rule engine for automating decision-making, asset tracking, and inventory management. Key product modules include ServiceScanAI for job management, Formify Pro for data collection, ComplainAI for complaint management, and ServiceOCRPro for data capture. By analyzing data like sound and vibration from equipment, the system can predict failures and automatically generate service tickets, aiming to reduce maintenance costs by up to 30% and decrease resolution times by 50%.

Sensfix has raised capital over two funding rounds, including a seed round in 2018 and a grant in 2022. The company has received a total of $576K in funding from investors such as Startupbootcamp, K-Startup Grand Challenge, and the European Union. In 2021, Sensfix was awarded a $2.5 million grant from the National Centre for Research and Development in Poland to advance its multimodal AI for operations and maintenance.

Keywords: facility management, predictive maintenance, artificial intelligence, multimodal AI, IoT, workflow automation, asset management, CMMS software, operations and maintenance, automated decision-making, service lifecycle management, smart facilities, industrial automation, issue detection, sensor data, maintenance software, workflow digitization, equipment failure forecasting, automated ticketing, remote monitoring