Zolnoi

Zolnoi offers a cloud-based industrial analytics platform for manufacturers built primarily on streaming electric current data drawn from individual machines. From this single data source the platform derives multiple datasets — production patterns, energy consumption trends and harmonics, equipment health and power quality — which are presented to plant teams as dashboards, alerts and reports. Where current signatures are insufficient, the company states it also uses additional data sources, including machine control signals captured without complex PLC integrations.

The offering is packaged into three products. Factory Ops is a real-time production performance system covering machine status, downtime reasons and capture, an hourly progress tracker, real-time AI alerts on downtime, energy waste, production speed and repetitive failures, out-of-the-box analytics and reports, energy insights, and automated capture of production speed, parts and cycle time. Energy Efficiency targets manufacturing energy management, identifying energy waste, combining production and energy data, providing equipment-specific analytics and ISO 50001-compliant reporting. Asset Health provides predictive maintenance alerts derived from electric current signatures using energy signature analysis (ESA), installed at the current supply and covering motors, gearboxes, cutters, milling and mixing equipment.

An AI Assistant continuously mines platform data for trends and improvement opportunities and surfaces them in a "$ Opportunity Tracker" and opportunity dashboard. The company describes the combined production, energy and asset-health coverage from one infrastructure layer as a "3X impact" from a single energy-meter deployment.

Founding story

Sources describe the founding team rather than a founding narrative: Varun Rai brings 24+ years of commercial experience across energy and technology, led marketing for a $1 billion business in South East Asia, and holds an MBA and B.E. in Mechanical Engineering; Dr. Sivam Pillai has 15+ years of industry and research experience, a Ph.D. in deep learning for machine health and a Master of Science in Robotics. The predictive maintenance algorithms are attributed to five years of prior research.

Business model

Zolnoi states it provides an end-to-end solution rather than software alone: off-the-shelf hardware deployed at the customer site plus a cloud-based platform, using a plant's existing energy meters where possible to reduce upfront investment. It also references hardware warranty, guaranteed service uptime and data security commitments. Energy audits are offered through partners. No pricing or contract structure is disclosed in the sources.

Traction

Public sources contain no customer names, revenue or deployment counts. The website references customer interactions and case studies, and the FAQ states the company has customers with modern equipment as well as legacy plants. Quantified benefit figures published by the company are described as estimates based on customer interactions and technology R&D rather than measured results.

Latest developments

The current website markets three named products — Factory Ops, Energy Efficiency and Asset Health — plus an AI Assistant with a $ Opportunity Tracker, and lists open positions.