Leela AI: Revolutionizing Manufacturing with Visual Intelligence

Leela AI is a cutting-edge visual intelligence platform designed to transform manual manufacturing operations through real-time, data-driven insights. By turning standard cameras into intelligent data sources, it enables continuous time & motion studies, performance tracking, quality monitoring, and safety analysis without manual data entry. Built on a hybrid causal/neural AI engine developed at the MIT Artificial Intelligence Lab, Leela AI delivers rapid deployment—just 1–2 days—and actionable analytics within 1–3 weeks. Its advanced capabilities include cycle time comparison, bottleneck identification, PPE violation detection, near-miss alerts, ergonomic hazard spotting, and automated best practice capture. The platform ensures privacy with default face/body blurring, optional video review disablement, and temporary storage (3 months), with edge server deployment available for on-site data control. Leela Viewer offers an intuitive, web- and mobile-accessible dashboard with full VCR controls, time-coded video, labeled overlays, and confidence-rated insights, empowering industrial engineers, continuous improvement officers, and line supervisors with a visual source of truth. With strong security compliance (SOC 2 Type II, GDPR, Japan’s APPI), customizable activity detection via drag-and-drop, and seamless integration via API with IIoT, MES, ERP, and other enterprise systems, Leela AI helps manufacturers boost capacity by up to 11%, cut overtime by 30%, and slash safety violations by 50%. It’s ideal for high-mix, high-touch environments and supports the transition to automation with baseline human work data.

Key Features:

• Real-Time Visual Intelligence: Analyzes video streams from standard cameras to monitor human and machine activity.
• Continuous Time & Motion Studies: Automatically tracks cycle times, value vs. non-value-add work, and throughput.
• Performance Analytics: Includes cycle time comparison, bottleneck identification, and time/unit tracking per workstation.
• Safety Monitoring: Detects PPE violations, hot zone intrusions, near-miss events (e.g., with forklifts), and hazardous conditions like smoke, steam, sparks, or fire.
• Ergonomic Hazard Detection: Uses pose recognition to identify unsafe postures and repetitive strain risks.
• Best Practice Capture: Automatically records and stores optimal workflows for employee training.
• Leela Viewer Dashboard: Offers real-time, web- and mobile-accessible KPIs with time-coded video, labeled object overlays, and VCR controls.
• Customizable Activity Detection: Users can define new activities using a graphical editor with drag-and-drop labeling.
• Hybrid Causal/Neural AI Engine (Leela Core): Combines neural networks with causal reasoning for explainable, self-learning insights and faster time-to-value.
• Scalable Deployment: Easily expandable from one camera to 100+ across multiple shifts and facilities.
• Cross-Shift & Cross-Station Analysis: Enables performance comparison across teams, locations, and time periods.
• Edge Server Option: On-site video storage available upon request for enhanced data privacy.
• API Integration: Supports integration with IIoT, MES, ERP, and other enterprise systems.
• Explainable AI & Human-in-the-Loop Feedback: Provides confidence ratings and reasons behind insights, allowing users to refine analytics with real-world input.
• Compliance & Security: SOC 2 Type II certified, encrypted data in transit and at rest, single-tenant architecture, and adherence to GDPR and APPI.
• Ethical AI Principles: Prioritizes privacy, transparency, and responsible AI use; does not support weaponized or autonomous targeting applications.

Pricing: Leela AI is offered as a per-camera subscription-based SaaS platform, providing flexible pricing for scalable deployment across manufacturing sites.

Conclusion: Leela AI stands as a transformative force in smart manufacturing, combining explainable AI, real-time monitoring, and deep privacy safeguards to deliver measurable improvements in efficiency, safety, and training—making it an indispensable tool for modern industrial operations.