Khenda provides an AI-powered continuous improvement platform specifically for the manufacturing industry to enhance operational excellence. The platform automates and digitizes time studies, value-adding analysis, and line balancing using video analytics captured via smartphone. This results in minimized waste, increased production line efficiency, and faster identification of lean improvement opportunities.
Funding
$2.1M 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 manufacturers struggle with inefficiencies, rising labor costs, and capacity limitations on their production lines. Traditional methods for analyzing and improving manufacturing processes are often time-consuming, inaccurate, and fail to provide real-time insights. This lack of visibility hinders efforts to streamline operations, reduce waste, and achieve operational excellence.
Solution
Khenda offers an AI-powered continuous improvement platform that automates and digitizes continuous improvement activities for the manufacturing industry. The platform uses AI-driven video analytics to automatically determine cycle times, identify value-adding and non-value-adding processes, and provide actionable insights for waste reduction and process optimization. Users can record process videos with a smartphone, upload them to the platform, and receive results in minutes, including time studies, value stream analysis, work instructions, and line-balancing charts. Khenda's solutions include modules for digital time study, methods-time measurement (MTM) analysis, lean assistance, and real-time production monitoring, enabling manufacturers to streamline processes, minimize downtime, and enhance workplace safety.
Target Audience
Khenda's primary customers are manufacturing companies across various sectors, including automotive, electronics, medical devices, and home appliances, seeking to improve operational efficiency, reduce waste, and enhance workplace safety.
Features
- AI-powered video analytics for automated cycle time measurement and process analysis
- Digital time study module to identify value-adding and non-value-adding activities
- MTM (Methods-Time Measurement) module for efficient motion analysis
- Line balancing module for optimizing task allocation and identifying bottlenecks
- Lean assistant module for automated FMEA tables, hazard analysis, and waste analysis
- Real-time production monitoring with Vision MES for downtime detection and machine tracking
- Safety module (Sentinel) for human detection in dangerous areas and automated safety measures
- Work instructions module for creating standardized operating procedures with visual aids
- Cloud-based platform for secure and scalable data storage and analysis