Zentio
Manufacturing 'agentic twin' modeling a whole factory in real time, with AI agents that autonomously reschedule, plan, and report.
What it does
Zentio builds a live digital model ('agentic twin') of a factory's machines, people, materials, and processes, paired with AI agents that can act on it. A scheduling agent reacts to disruptions like machine failures or material delays; a planning agent simulates scenarios to find efficiency gains; an analytics agent builds dashboards and answers questions in plain language; and a data agent keeps master data accurate. Users choose how autonomous each agent is, from fully automatic to human-in-the-loop.
Core features
Live digital twin of machines, operators, materials, and processes
Autonomous rescheduling agent that reacts to floor disruptions
Scenario simulation agent for shift models, overtime, and staffing changes
Natural-language analytics agent with custom dashboards
Master data quality agent using ML to detect drift
Adjustable autonomy levels per agent function
EU-hosted with GDPR/ISO 27001 compliance focus
Best for
→High-mix manufacturers needing real-time schedule adjustments
→Simulating shift model or staffing changes before committing
→Tracking on-time delivery and equipment effectiveness KPIs
→Keeping ERP/master data accurate as conditions change
→Reducing manual scheduling effort in complex production lines