Ascalia employs IoT sensors and AI algorithms to monitor manufacturing processes in real-time, identifying bottlenecks and minimizing downtime. This technology enhances operational efficiency and increases productivity in factories by providing actionable insights for process optimization.
Funding
$1.2M 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 manufacturing facilities struggle with inefficiencies, bottlenecks, and unexpected downtime due to a lack of real-time visibility into their production processes. Traditional monitoring methods often rely on manual data collection and lagging indicators, making it difficult to identify and address issues proactively. This can lead to reduced productivity, increased scrap rates, and higher operational costs.
Solution
Ascalia offers an end-to-end platform that leverages IoT sensors and AI algorithms to provide real-time monitoring and analysis of manufacturing operations. The system seamlessly integrates with existing machinery to collect data on key performance indicators (KPIs) such as production speed, quality, and equipment health. Ascalia's AI-powered engine then analyzes this data to identify bottlenecks, predict potential equipment failures, and optimize production processes. The platform provides actionable insights and alerts through a user-friendly interface, enabling manufacturers to proactively address issues, minimize downtime, and improve overall efficiency. Ascalia's solution also includes features for production tracking, work attendance planning, and AI-powered quality assurance.
Target Audience
Ascalia targets manufacturing facilities across various industries seeking to improve operational efficiency, reduce downtime, and enhance product quality through real-time monitoring and AI-driven insights.
Features
- Seamless integration with existing machinery for paperless production and remote management.
- Real-time, end-to-end production traceability for complete auditing and work order tracing.
- AI-powered quality control that detects defects and issues early in the production process.
- Predictive maintenance capabilities to reduce production downtime and maintenance costs.
- Efficiency analysis and optimization tools providing real-time analysis of production efficiency with live alerts and optimization tips.
- Work attendance and planning features to organize workforce and increase efficiency.
- Edge devices powered by Coral from Google.