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Valiot

Valiot utilizes AI algorithms and a System Dynamics approach to optimize manufacturing and supply chain operations by identifying and alleviating production bottlenecks without requiring changes to existing infrastructure. Their solutions enhance real-time decision-making, reduce human dependency, and improve throughput, resulting in measurable increases in efficiency and revenue for manufacturers.

Austin, United StatesFounded 2018353K+ followers
Updated 4 months ago

Funding

$9M 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.

Funding rounds are not available yet.

Founders

Product

Problem

Manufacturers often struggle with production bottlenecks, human error, and inefficiencies in their supply chain, leading to reduced throughput and increased operational costs. Identifying and resolving these issues typically requires significant investment in infrastructure changes and extensive human intervention.

Solution

Valiot offers an AI-powered platform that optimizes manufacturing and supply chain operations by identifying and alleviating production bottlenecks without requiring changes to existing infrastructure. Using AI algorithms and a System Dynamics approach, the platform analyzes real-time data from various sources, including PLCs, IoT sensors, and ERP systems, to provide actionable insights. Valiot's solutions enhance real-time decision-making, reduce human dependency, and improve throughput, resulting in measurable increases in efficiency and revenue. The platform offers two primary products: FactoryOS, which focuses on optimizing factory operations, and ValueChainOS, which connects and optimizes the entire value chain.

Target Audience

Valiot targets plant managers, operations executives, and other decision-makers in manufacturing companies seeking to improve operational efficiency, reduce costs, and increase throughput.

Features

  • AI-powered algorithms for identifying and alleviating production bottlenecks
  • System Dynamics approach for simulating and optimizing manufacturing processes
  • Real-time data integration from PLCs, IoT sensors, ERP, and WMS systems
  • FactoryOS: Optimizes factory operations with real-time data and predictive analytics
  • ValueChainOS: Connects and optimizes the entire value chain with dynamic production scheduling
  • Customizable dashboards for visualizing key performance indicators (KPIs)
  • Predictive analytics for forecasting factory behavior and optimizing control set points
  • Adaptive scheduling that reacts to unplanned downtime by reconfiguring production schedules on the fly
This profile is AI-generated and may contain inaccuracies.