A live model of your factory,with agents that run it.
Zentio pairs a live, digital model of every machine, person, material and process with agents that decide and act on it in real time.
Schedules in detail and absorbs disruption.
- Acts the moment a machine fails, material is delayed or staff are absent.
- Tests and deploys different shift models, overtime or a four-day work week to raise personnel efficiency.
- Machines, tooling, operators, skills, setup, changeover and materials in one model.
- Decide the degree of autonomy, from fully autonomous to human-in-the-loop.
* Certification in progress.
The Agentic Twin.
Senses every change, acts the moment it hits.
The agentic twin senses what changed on the floor, decides what to do, acts and checks the result. A machine fails, it reschedules. Material runs short, it reorders. A line backs up, it reroutes work across the machines, people and processes that can take it.
Choose your desired autonomy, function by function.
Run the agentic twin from fully autonomous to a human-in-the-loop approach. Choose different levels of autonomy for different functions or decisions to build your desired collaborative environment.
Picks the right tool for every situation and every challenge.
Strictly rule-based systems break when something unexpected happens or the degree of detail is not enough. The agentic twin reasons through what is happening and why, picking the right tool for every situation.
Agents and humans working hand in hand to improve your operations.
Live disruption handling, simulation of scenarios and explainable decisions.
Reschedule around any disruption, the moment it hits.
- ResponseInstant, informed response to disruptions like delayed material, absent staff or machine failures
- KPI impactQuantifies the effect on KPIs like on-time rate, equipment and personnel efficiency before changes are made
- DispatchDispatches the updated plan automatically to everyone affected
- AutonomyRuns fully autonomous or with a human in the loop, at the autonomy level you choose
Simulate the impact of any decision before you make it.
- SimulateRun a simulation for overtime, a four-day week or a second shift, and see the impact before you commit
- Ground truthGround answers on KPIs instead of gut calls: impact on productivity, cost and deliveries in numbers
- OrchestrateLet the agent orchestrate scenario creation, or steer it toward a specific KPI target
- Time framesMake informed, quantifiable decisions through simulations across various time frames
The right people on every shift, matched to the work that's running.
- Skill matchSkill-based assignment across qualifications, certifications, experience and preference
- Re-rosterRe-rosters around planned and unplanned absences without dropping production priority
- Gap detectionSurfaces skill gaps and certification lapses by cross-referencing schedules with a live qualification matrix
- WorkloadLevels workload to cut premium-shift spend and keep the roster fair and predictable
Every question answered, backed by numbers.
- AnswersReliable, quantifiable answers to operational questions in seconds
- Natural languageAsk in natural language, the agent asks the clarifying questions an employee would
- CitedEach answer cites the KPIs and source data it's based on
- ReportingCustomized reporting for any situation, from rush-order feasibility to capacity and cost checks
Fits into the software landscape you already run.
Zentio connects the dots across your siloed systems, from ERP to shop floor, and brings an intelligence layer to both sides.
A staged rollout that proves value before you go live.
Low risk at every step, from historical data to full production.
Frequently asked questions.
What is Zentio?
Zentio is a production-intelligence and scheduling platform for manufacturers of all sizes. At its core is the Agentic Twin, a live digital model of every machine, person, material and process on your shop floor, updated in real time. AI agents act on that twin to schedule work, absorb disruption, plan capacity and answer questions, using a combination of mathematical optimization and machine learning.
What do the agents do?
The scheduling agent builds detailed schedules and reschedules the moment a disruption hits, modeling machines, tooling, operators, skills, setup, changeover and materials together. The planning agent finds idle capacity and slack, explores thousands of scenarios and recommends concrete moves, benchmarked against your line's best run. The analytics agent builds dashboards and tracks KPIs like on-time delivery, equipment effectiveness and lead time. Ask Zentio answers operational questions in plain language, each answer citing the KPIs and source data it used.
How do we get started with Zentio?
You start with a proof of value, 2–3 weeks running on historical data from one area of your plant, so you see how Zentio would perform on your real operation. Next comes a pilot, 4–8 weeks in shadow mode next to your existing system with no disruption. Once it proves out, Zentio moves to live integration and rollout across the plant. To start, contact the team at info@zentio.ai.
How does Zentio connect to our ERP and shop-floor systems?
Zentio connects the siloed systems across your existing software landscape, from ERP to shop floor, and adds an intelligence layer to both sides. It reads from the systems you already run instead of replacing them. The team handles connecting your systems as part of the proof of value and rollout.
Where is our data hosted, and is Zentio GDPR compliant?
Zentio is hosted in Germany with EU data residency and is GDPR compliant. ISO 27001 and TISAX (automotive) certifications are in progress. For your security team's specific questions, contact the team at info@zentio.ai.
How does Zentio keep our master data accurate?
The data agent keeps your master data precise. It detects drift with machine and reinforcement learning, then proposes traceable corrections that show where each value came from and why it should change. Nothing flows to your system of record until you approve it.
Do the agents act on their own, or do we stay in control?
You set the autonomy level, from fully autonomous to human-in-the-loop. When a disruption hits, Zentio quantifies the KPI impact before the agent makes any change, so you see the effect first. At a human-in-the-loop setting the agent proposes the move and you approve it before it dispatches.
Can we trace why the agent made a decision?
Yes. Every change traces back to the schedule decision and the source data behind it, so a planner can see exactly why the agent made a move. Ask Zentio can walk through that reasoning in plain language, citing the KPIs and data each answer draws on.
Is Zentio a fit for smaller manufacturers?
Yes. Zentio is built for manufacturers of all sizes, from a single plant to a large production network. The staged rollout starts on historical data from one area, so a smaller team can prove value before committing to a wider rollout.
What support do we get during setup and rollout?
The team guides you through each step, from connecting your systems to configuring permissions. They stay hands-on from proof of value through rollout.