alwaysAI provides real-time computer vision solutions that utilize artificial intelligence to detect objects, people, and events through existing camera systems, enhancing operational efficiency and data accuracy. The platform addresses labor shortages and data gaps by delivering actionable insights that help businesses optimize processes and improve return on investment.
Funding
$15.6M 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.

Founders
Product
Problem
Many businesses struggle with labor shortages, safety concerns, and a lack of real-time data regarding inventory, customer behavior, and operational processes. This absence of robust visual insights leads to inefficiencies, anomalies, and ultimately, reduced profitability.
Solution
alwaysAI offers a computer vision platform that enables businesses to analyze visual data from existing camera systems in real-time. By leveraging artificial intelligence, the platform detects objects, people, and events, providing actionable insights for process automation and improved decision-making. The platform's enterprise-grade computer vision models and applications can be deployed on the edge or in the cloud, offering scalability and accuracy. alwaysAI helps businesses overcome challenges related to labor, materials, and services by providing unprecedented access to visual information, enabling them to optimize operations and boost ROI.
Target Audience
The primary target audience includes businesses across various industries such as manufacturing, retail, logistics, and energy that seek to improve operational efficiency, enhance safety, and gain real-time insights through computer vision.
Features
- Real-time object, people, and event detection using existing camera infrastructure
- Comprehensive API library for developing custom AI vision applications
- Remote deployment and management of AI vision models and applications on edge devices or in the cloud
- Advanced dataset management and MLOps tools for training and evaluating AI vision models
- Real-time analytics dashboard for acting on data generated from cameras and AI vision
- Scalable architecture for deploying AI vision applications across multiple cameras and locations
- Support for various computer vision tasks, including object detection, tracking, and re-identification