Zentio provides an AI-native production intelligence and scheduling platform built around an "Agentic Twin"—a live digital model of every machine, person, material, and process on the shop floor. AI agents continuously monitor, detect, and act on this twin to handle scheduling, disruption absorption, capacity planning, and operational Q&A. The platform integrates with existing ERP and shop-floor systems, with a staged rollout starting from a 2–3 week proof of value on historical data.
Funding
Funding not disclosed
Founders
Product
Problem
Manufacturers rely on fragmented spreadsheets and siloed systems for production planning, making it difficult to respond to disruptions, optimize capacity, and maintain on-time delivery. This leads to unplanned downtime, lower OTIF (on-time-in-full) rates, and a lack of actionable intelligence across the shop floor.
Solution
Zentio pairs a live, digital model of every machine, person, material, and process—the Agentic Twin—with AI agents that decide and act on it in real time. The scheduling agent builds detailed schedules and reschedules the moment a disruption hits, while the planning agent explores thousands of scenarios to recommend capacity moves benchmarked against the line's best run. An analytics agent builds dashboards and tracks KPIs, and a natural-language interface answers operational questions with cited data. The platform integrates across ERP and shop-floor systems, bringing an intelligence layer to both sides, and is deployed through a staged, low-risk rollout from historical data to full production.
Target Audience
Primary customers are manufacturers of all sizes, particularly those with complex shop-floor operations seeking to replace fragmented spreadsheets with autonomous production scheduling and real-time production intelligence.
Features
- Agentic Twin: live digital model of machines, people, materials, and processes, updated in real time
- Scheduling agent that models machines, tooling, operators, skills, setup, changeover, and materials together for detailed, disruption-responsive schedules
- Planning agent that finds idle capacity, runs thousands of scenario simulations, and recommends concrete moves benchmarked against the line's best run
- Analytics agent that builds dashboards and tracks KPIs like on-time delivery, equipment effectiveness, and lead time
- Plain-language Q&A that answers operational questions with cited KPIs and source data
- Integration layer connecting siloed systems from ERP to shop floor, with EU data residency, GDPR, ISO 27001, and TISAX compliance