Yoshu is an AI-powered decision intelligence platform that brings determinism and structure to heavy-asset industries by turning human actions into repeatable, predictable outcomes. The platform unifies data ingestion, agent orchestration, and intelligent workflows to automate decision-making sequences across sectors like aerospace, automotive, and energy. Yoshu reports measurable first-year gains including 10-20% reductions in OEE, FPY, and downtime, plus 30-40% faster time to resolution.
Funding
Funding not disclosed
Founders
Product
Problem
Heavy-asset industries such as aerospace, automotive, and energy rely on complex, often inconsistent human decision-making processes that are difficult to standardize or scale. This lack of structure leads to inefficiencies, extended downtime, and slow onboarding, preventing organizations from achieving predictable operational performance across multiple sites.
Solution
Yoshu provides an AI-powered decision intelligence platform that brings determinism and structure to industrial operations by converting human actions into repeatable, site-specific workflows. The platform connects and unifies all company data into a single intelligence layer, then coordinates AI agents through intelligent workflows to automate and optimize decision-making sequences. By integrating augmented search and operational intelligence, Yoshu enables teams to access unified knowledge, analyze workflow performance, and drive continuous improvement. This approach delivers measurable results, including 10-20% reductions in OEE, FPY, and downtime, a ~30% reduction in onboarding time, and 30-40% faster time to resolution in the first year.
Target Audience
Primary customers are operational leaders and digital transformation teams in heavy-asset industries, including aerospace, automotive, chemicals, cosmetics, energy, and textile manufacturing, who need to standardize decision-making and improve plant-level performance.
Features
- Data Ingestion: Connects, unifies, and enriches all company data into a single intelligence layer
- Agent Orchestration: Coordinates AI agents through structured, intelligent workflows
- Augmented Search: Provides unified access to knowledge sources across the organization
- Intelligent Workflows: Automates and optimizes decision-making sequences for repeatability
- Operational Intelligence: Analyzes workflow performance to support continuous improvement initiatives