Zolnoi provides an AI-based cloud platform that analyzes streaming electric current data to improve industrial operations. The system generates insights for production patterns, energy consumption trends, and equipment health without requiring costly machinery upgrades. This approach helps plant teams increase capacity utilization, reduce energy waste, and improve asset performance.
Funding
$55K 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.
EFFounders
Product
Problem
Manufacturers face challenges in optimizing production asset efficiency and reliability due to unexpected breakdowns, aging machinery, and rising energy costs. Existing infrastructure limitations and the need for dedicated resources to manage digital platforms further complicate efforts to improve operational performance.
Solution
Zolnoi offers an end-to-end platform that leverages IoT-based data acquisition and proprietary AI for predictive analytics, enabling manufacturers to enhance production asset efficiency and reliability. By analyzing electric current data, the platform identifies energy waste, predicts equipment health, and provides real-time production performance insights. The AI Assistant identifies saving opportunities and enables shop floor teams to improve capacity utilization and reduce energy consumption. Zolnoi's approach combines production, equipment health, and electrical parameter data to maximize energy savings and improve overall plant productivity.
Target Audience
Zolnoi targets manufacturing plants seeking to increase throughput, lower costs, and improve operational performance of aging machinery without costly upgrades.
Features
- Real-time production performance system to understand production losses and enable shop floor ownership.
- Energy management tools designed for manufacturing to identify areas of energy waste and combine production/energy data.
- Predictive maintenance alerts derived from electric current signatures, applicable to motors, gear boxes, cutters, milling, mixing, and more.
- AI Assistant that mines data patterns and identifies opportunities for improvement, presented in an Opportunity Tracker.
- Algorithms built on five years of research, outperforming other AI methods in benchmarking.
- ISO50001 compliant reporting for energy management.