NeuronBox
Autonomous AI agents for industrial wastewater operations
Company Overview
Snapshot
Founded in August 2025 by Ofer Hayut, NeuronBox operates with 1–10 employees. The company is currently in the Pre-Funding stage, focusing on developing its core technology for industrial applications.
Business overview
NeuronBox develops autonomous AI agents designed to optimize industrial operations, specifically targeting factory wastewater treatment. Its flagship product, Maya, is an AI-powered virtual wastewater specialist that integrates with existing factory systems, sensors, and PLCs via an edge AI box. Maya processes real-time data and computer-vision feeds to manage DAF operations, chemical dosing, compliance monitoring, and provides autonomous adjustments, lab-grade result predictions, root-cause analysis, and operator alerts. The company aims to transition factories from manual monitoring to automated operational action, addressing compliance risks, chemical overspend, and operator shortages within the industrial technologies sector, with a broader vision for reusable industrial AI agents across various operational processes.
Company Intelligence Q&A
- What is NeuronBox's primary focus?
- NeuronBox specializes in developing autonomous AI agents for industrial operations, with an initial focus on optimizing factory wastewater treatment processes.
- Who founded NeuronBox?
- NeuronBox was founded by Ofer Hayut in August 2025.
- What is the core technology offered by NeuronBox?
- NeuronBox offers autonomous AI agents, exemplified by its product Maya, which acts as a virtual wastewater specialist integrating with existing factory infrastructure to provide real-time data analysis and operational adjustments.
- Which industries does NeuronBox primarily serve?
- NeuronBox primarily serves industries involved in industrial operations, specifically targeting wastewater management within the broader industrial technologies sector.
- What problem does NeuronBox aim to solve for its customers?
- NeuronBox aims to help factories move from manual monitoring to automated operational action, addressing challenges such as compliance risk, chemical overspend, and operator shortages in wastewater treatment.