The agentic OS that runs manufacturing operations.
Define the operational objective. Agents orchestrate production planning, quality control, predictive maintenance, supply chain, demand forecasting, and workforce operations governed, auditable, deployed in your own cloud. Built for manufacturers ready to move from AI predictions to agentic production operations.
The enterprises that
run on Lyzr.
G2 · Spring 2025
Accenture VenturesG2 · Winter 2025One objective in.
Your entire function, moving.
Lyzr sits at the centre. It reads every signal, activates the right agents, runs across every channel and closes every loop back to your goal.
The right question changes everything.
Most manufacturers have deployed predictive analytics or condition monitoring. The Lyzr Manufacturing OS starts with why those deployments haven't moved throughput, quality, or supply chain resilience at the operational level.
Your predictive maintenance model flags potential failures. Does it also generate the specific repair plan, schedule the maintenance window, and order the parts before anyone is paged?
The Manufacturing OS doesn't just predict failures it acts on them. Agents generate a specific repair plan, schedule the maintenance window, and order parts before the failure occurs. The shift from prediction to action is the operational difference.
Your production schedule is set weekly. When demand shifts, a supplier is late, or a machine goes down on Tuesday, how quickly does your schedule adapt?
The Manufacturing OS runs production scheduling continuously reconciling orders, material availability, machine capacity, maintenance windows, and energy constraints in near-real time, re-optimising when any variable changes.
Your quality inspection process catches defects after production. How much of your scrap and rework cost is from issues that could have been caught earlier?
The Manufacturing OS monitors quality signals at every production stage correlating process parameters, material batch data, and historical defect patterns to flag conditions that precede failures before defective units are produced.
A generation of experienced process engineers is retiring. How much of their operational knowledge is documented and how much walks out the door with them?
The Manufacturing OS builds a continuously updated operational knowledge base from every production run and maintenance event. The institutional knowledge that lives in experienced operators' heads is encoded in agent memory available to every shift and every new engineer.
How AI transforms manufacturing operations
SAP, Oracle, Siemens, Rockwell, Honeywell, your MES, your SCADA systems connect what you have. Legacy OT systems supported through protocol bridges.
Zero rip-and-replaceNot a KPI target. A goal: Reduce unplanned downtime by 30%. Achieve 99.2% on-time delivery for Tier-1 customers. Cut scrap and rework costs by 20%. The OS returns a ranked execution plan with reasoning.
Objective-first. Always.From 400+ agents, the OS calls what's relevant predictive maintenance, production scheduling, quality monitoring, supply chain replenishment, energy optimisation. OT and IT domains coordinate under one control plane.
400+ agents · OT/IT coordinationEquipment gets maintained. Schedules get optimised. Quality gets tracked. The OS reports on operational outcomes what improved OEE, what reduced defect rates, what supply chain signals require action.
Every output loops backManufacturing OS built for your workflow
Tell the OS how your plants operate today. It enhances every workflow with agents built for that exact job.
Schedules re-planned as demand, supply and machine signals change.
Predictive signals turned into work orders, parts requests and technician dispatch.
Defects detected, root cause assembled and CAPAs initiated automatically.
Supplier risk, lead-time and freight signals reconciled into one operating view.
Inventory, MRP and PAR levels kept honest with replenishment policy enforced.
Near-miss patterns and audit findings turned into prioritised actions.
Energy, emissions and waste signals turned into operator-level actions.
Shifts, certifications and overtime balanced against demand and policy.
Historian, MES and ERP data reconciled into one source of truth for every line.
Senior operator know-how captured in agents that don't retire.
Audit packs, traceability and regulatory submissions prepared continuously.
OEE, yield and scrap drivers explained at line, shift and SKU level.
Your data. Your agents.
Your call. Always.
Lyzr deploys in your cloud: AWS, Azure, GCP, or on-premise. No data leaves. No training on your proprietary information. 80% of enterprise deployments choose private cloud.
Every agent action is logged. Every output validated. Human-in-the-loop controls for every decision that matters. SOC 2 Type II. GDPR-ready. EU AI Act compliant path.
What you build on Lyzr belongs to you. Walk away with every agent, every workflow, every intelligence layer fully intact. We are the infrastructure, not the owner of what you create on it.
OpenAI, Anthropic, Google, open-source. LangChain, CrewAI, Agentforce. Lyzr runs them all under one control plane. You're never dependent on one provider's roadmap.
"Lyzr was the only vendor that could articulate and then deliver what happens after the demo. Most platforms stop at the POC. Lyzr stayed through production."
"We achieved a 95% reduction in agent response time across markets. No other platform gave us the observability and control we needed to actually trust our agents in production."
"Lyzr gave us a team that understood what production-grade AI means in a regulated environment. They didn't just ship they helped us think through compliance, auditability, and scale."
Take something with you.
We don't pitch. We build your conviction.
If you're thinking it,
Lyzr has already answered it.
MES executes the plan and predictive maintenance flags a failure. An Agentic OS plans, re-plans, dispatches work orders, coordinates supply and captures tribal knowledge from your most experienced operators.
No. The Lyzr Manufacturing OS integrates with SAP, Oracle, Rockwell, Siemens, AVEVA, GE Digital, your MES and historian as a coordination layer.
First workflow (work-order dispatch, quality triage or maintenance planning) live within 45 days with OT-grade safety reviews.
Every action is policy-gated, network-segmented and approved through your change-management process. High-risk actions require human sign-off.
You do. The OS deploys in your private cloud or on-prem. Plant data and operator know-how stay in your environment and are never used to train shared models.
Yes. It orchestrates vision systems, copilots and engineer-built agents in one governed control plane.
SOC 2 Type II, ISO 27001, IEC 62443 for OT, with mappings to FDA 21 CFR Part 11 for regulated industries and EU AI Act.
OEE, scrap rate, on-time delivery, unplanned downtime and engineer hours returned, tied back to stated plant objectives.
Set the objective.Watch the function move.
30 minutes with the team. You define the goal. We show you exactly what changes.
Deployed in your environment · Your data stays yours · Your agents, always