Leela AI is a visual intelligence platform that turns standard Ethernet cameras into a continuous, automated time‑and‑motion analysis system for manufacturing floors. It uses a hybrid causal/neural AI engine to measure cycle times, value‑added work, equipment usage, quality deviations, and safety compliance in real time, delivering actionable dashboards and alerts without manual data entry. The SaaS solution scales per camera, includes privacy safeguards, and integrates with existing ERP and quality systems.
Funding
$3.5M 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
Manufacturers rely on manual time‑and‑motion studies, MES data entry, and limited IIoT sensors, which are costly, biased, and fail to capture human actions on the shop floor, leading to missed inefficiencies, quality issues, and safety risks.
Solution
Leela AI converts standard cameras into a continuous visual intelligence feed that automatically measures cycle times, value‑added versus non‑value‑added work, and equipment usage without any manual data entry. Its hybrid causal/neural AI engine interprets video to detect bottlenecks, out‑of‑order steps, equipment malfunctions, and PPE violations, providing real‑time alerts and actionable insights. The platform aggregates metrics across workstations, shifts, and facilities, enabling comparison, best‑practice capture, and data‑driven process improvements. Privacy is protected through default facial and body blurring, with options to disable video storage entirely. The SaaS solution can be deployed in days, scaling by adding more cameras and integrating with existing ERP or quality systems via APIs.
Target Audience
Primary users are industrial engineers, continuous‑improvement managers, and line supervisors in high‑mix, labor‑intensive manufacturing environments seeking data‑driven performance, quality, and safety insights.
Features
- Continuous, automated time‑and‑motion analysis from standard Ethernet cameras, eliminating manual data entry
- Hybrid causal/neural AI engine that reasons about cause‑and‑effect to quickly learn new tasks with minimal training data
- Real‑time dashboards (Leela Viewer) with web and mobile access, showing cycle time, throughput, and value‑add ratios
- Automated detection of quality deviations, equipment faults, and PPE/non‑compliance with instant feedback
- Safety monitoring that flags missing helmets, hazardous “hot zones,” and near‑miss incidents with forklifts or cranes
- Scalable per‑camera subscription model, allowing incremental rollout across lines, shifts, and sites
- Built‑in privacy safeguards: default facial/body blurring, optional video storage disablement, and edge‑server deployment options