AID provides AI‑powered visualization apps that turn existing camera feeds into real‑time insights for retail, manufacturing, transportation, and elder‑care settings, such as tracking customer movement, monitoring production lines, analyzing parking occupancy, and detecting bed‑exit falls. The company also offers edge and cloud kits that bundle cameras with on‑device or cloud‑based AI processing, plus professional services for image analysis, prototyping, and system deployment.
Funding
$250K 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
Businesses and facilities often lack real-time visibility into customer behavior, product movement, factory operations, traffic flow, and safety incidents, leading to inefficient decision‑making and increased risk of accidents.
Solution
AID offers a suite of AI‑powered “visualization” applications that turn existing camera feeds into actionable insights. Their apps cover retail (customer and product tracking), manufacturing (camera‑based monitoring), transportation (parking and traffic flow analysis), and caregiving (bed‑exit fall detection). AID also provides edge and cloud kits—pre‑configured hardware and software bundles that enable on‑premise AI processing or cloud‑based analytics via platforms like SORACOM Flux. In addition, the company delivers professional services such as image‑analysis outsourcing, prototype development, and system deployment support, allowing clients to quickly adopt AI monitoring without building expertise in-house.
Target Audience
Primary customers are retail chains, manufacturing plants, transportation operators, and elder‑care facilities seeking automated visual analytics, as well as developers who need ready‑made AI edge or cloud kits for rapid deployment.
Features
- Retail “store visibility” app that visualizes customer movement and product interactions from camera feeds
- Factory monitoring app that automates surveillance using AI to detect anomalies in production lines
- Traffic app that analyzes parking occupancy and vehicle flow in real time
- Care facility “wake‑up monitoring” app that detects bed‑exit events to prevent falls
- AI‑driven camera monitoring service that can integrate with existing surveillance cameras
- AID Cloud Kit leveraging SORACOM Flux for scalable, add‑on AI applications
- AID Edge Kit combining cameras with edge devices for low‑latency, on‑device AI inference
- Free online AI image‑processing package allowing users to test various vision models on their own images