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sensfix

The startup offers a digitized workflow platform that connects IoT sensors to asset owners and service personnel, enabling real-time communication and automation of logistics, maintenance, and repair tasks. This solution allows clients to efficiently manage service requests through self-scheduling, self-dispatching, and self-ticketing, reducing downtime and operational inefficiencies.

San Francisco, United StatesFounded 2016231K+ followers
Updated 18 months ago

Funding

$580K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

EU
Funding rounds are not available yet.

Founders

Product

Problem

Many facilities struggle with inefficient and reactive maintenance processes, leading to increased downtime, higher operational costs, and reduced overall productivity. Existing maintenance systems often lack the ability to proactively identify issues and automate service workflows, resulting in delayed response times and suboptimal resource allocation.

Solution

Sensfix offers a connected facility maintenance platform that leverages multi-modal AI to digitize diverse inputs, automate workflows, and enable automated decision-making in repairs and maintenance. The platform processes data from IoT sensors, text, images, audio, video, barcodes, and QR codes to identify issues, predict failures, and optimize maintenance schedules. By digitizing inputs and automating workflows, Sensfix enables devices to self-schedule, self-dispatch, and self-ticket service, resulting in lower costs, improved time-to-resolution, and increased operational efficiency. The platform's AI-powered CMMS software improves reliability in operations and maintenance across various industries.

Target Audience

Sensfix targets companies in facility management, manufacturing, oil & gas, supply chain, commercial property, smart cities, and logistics, seeking to improve efficiency and reliability in operations and maintenance.

Features

  • Multi-modal AI for rapid acquisition of data from IoT sensors, text, images, audio, video, barcodes, and QR codes
  • Free-form workflow builder for creating step-by-step workflows, associating spare parts, consumables, tools, and vehicles at each step
  • Ability to set IFTTT (If This Then That) rules on text, images, audios, and videos in addition to IoT sensor data for automated decision-making
  • Predictive maintenance capabilities using text, image, audio, and video data combined with IoT sensor data
  • IoT and API integration for seamless connectivity with existing infrastructure
  • Map view dashboard for a visual representation of all facilities
  • Metadata explorer for an interactive view of intra-workflow parameters at every workflow step level
This profile is AI-generated and may contain inaccuracies.