Challenge
Generic LLMs hallucinate on plant-specific questions.
Agnotic approach
We ground every agent in your real SOPs, machine manuals, and live MES/ERP data via retrieval, so answers cite your systems rather than guessing.
Manufacturing AI Agents
Manufacturing AI Agent Development
We design and build AI agents that sit on your production data and systems — assisting operators, automating operational workflows, analyzing quality, and predicting maintenance — so Industry 4.0 becomes real output, not a slide.
Industry 4.0ISA-95OPC UAOn-prem / VPC
Trusted by global innovators
What manufacturing AI agents actually involve
A manufacturing AI agent is not a chatbot bolted onto a website — it is a purpose-built assistant grounded in your real operational data: MES and ERP records, machine and historian telemetry, SOPs, and quality results. Done right, it answers an operator's question at the line, flags a defect trend, or drafts a shift report from live data, with the guardrails a plant floor demands.
The hard part is grounding and trust, not the model. Production data is messy, high-frequency, and vendor-specific, and a wrong answer on the floor has real cost. We build agents on a retrieval layer over your actual systems, with tool-use scoped to safe actions, human-in-the-loop for anything consequential, and deployment inside your network — so the agent is useful, auditable, and safe.
Architecture
See how we ground manufacturing AI agents in real production data — retrieval over MES/ERP and historian telemetry, scoped tool-use, and human-in-the-loop.
Common failure modes
Manufacturing AI pitfalls — and how we handle them
Challenge
An agent taking a wrong action on the floor is costly.
Agnotic approach
Tool-use is scoped to safe, reversible actions with human-in-the-loop approval for anything that changes production state.
Challenge
Production data is high-frequency and vendor-specific.
Agnotic approach
We normalize machine and historian data onto an ISA-95 model first, so agents reason over a clean, consistent picture.
Challenge
Security teams will not allow plant data in a public cloud.
Agnotic approach
We deploy on-prem or in your VPC with private model endpoints, so no proprietary data leaves your boundary.
Manufacturing AI Agent Capabilities
The agent types we build — each grounded in your production data and scoped to safe, auditable actions.
Production & operations copilots
Agents that answer operators from live production data, SOPs, and machine manuals, and draft shift and downtime reports.
Quality analysis agents
Vision and data agents that flag defects, analyze scrap, and surface likely root causes from inspection and process data.
Predictive-maintenance intelligence
Agents that watch equipment telemetry, predict failures before downtime, and recommend the maintenance action.
Operational automation
Agents that automate scheduling, reporting, and cross-system workflows across MES, ERP, and quality systems.
Where it runs
Manufacturing AI agents we build
Shop-floor copilot
An operator assistant grounded in SOPs, manuals, and live line data.
Quality inspection
Defect detection and scrap root-cause analysis from vision and process data.
Predictive maintenance
Failure prediction and maintenance recommendations from equipment telemetry.
Production scheduling
Agents that draft and adjust schedules against demand, materials, and capacity.
Downtime analysis
Automated downtime capture, categorization, and Pareto reporting.
Operator onboarding
Interactive training agents that answer from your real work instructions.
Manufacturing AI that ships to the floor
Most manufacturing AI stalls in a proof-of-concept. We build for grounding, guardrails, and deployment inside your network from day one.
6–10 wk
Typical first agent to pilot
On-prem
Deployable in your VPC / plant
Human-in-loop
On every consequential action
Standards we build against
Manufacturing AI standards
Industry 4.0ISA-95OPC UAMQTTISO 9001IEC 62443
Our Process
How we deliver manufacturing AI agents
Use-case scoping, data grounding, and guardrails treated as the real engineering — not the model call.
1.
Use-case & data scoping
We pick a high-value use case, map the data and systems the agent must ground on, and define safe actions.
Value-first
2.
Grounding & integration
We build the retrieval layer over MES/ERP, historian, and document sources, normalized to an ISA-95 model.
Grounded
3.
Agent build & guardrails
We implement scoped tool-use, human-in-the-loop approvals, and evaluation against real plant questions.
Guardrailed
4.
Deploy & monitor
On-prem or VPC deployment with logging, quality monitoring, and a feedback loop for continuous improvement.
Observed
Agent surface
Manufacturing agent types — grounding & action scope
The agents we build and how each is grounded and constrained.
| Agent | Grounded on | Action scope | Notes |
|---|---|---|---|
| Shop-floor copilot | SOPs, manuals, live line data | Read / suggest | Operator Q&A and report drafting. |
| Quality agent | Inspection + process data | Flag / analyze | Defect detection and root-cause hints. |
| Maintenance agent | Equipment telemetry | Predict / recommend | Failure prediction, work-order draft. |
| Scheduling agent | Demand, materials, capacity | Draft / adjust* | Human approves before commit. |
| Reporting agent | MES / ERP records | Read / generate | Shift, downtime, and OEE reports. |
* Consequential actions always route through human-in-the-loop approval before touching production state.
Why Partner With Us
15-Minute Scoping CallWhy teams trust us with manufacturing AI
Agents that ship to the floor and stay safe — not a demo that never leaves the lab.
Safety-first
Scoped tool-use and human-in-the-loop so an agent never takes a consequential action unchecked.
Manufacturing depth
Fluent in MES, ERP, historians, OPC UA, and the ISA-95 model — we ground agents in real plant data.
Deployment-focused
We optimize for on-prem / VPC delivery and real adoption, not a proof-of-concept that stalls.
Full-stack fluency
We connect agents to the systems that run the plant, so they act on live operational reality.
Frequently Asked Questions
A focused first agent — a shop-floor copilot or a downtime-reporting agent — typically reaches pilot in 6–10 weeks. The timeline is driven by data access and grounding, not the model: getting clean, connected production data is the real work, which is why we start from one high-value use case rather than a platform.
Ready to put AI agents on your factory floor?
Tell us one high-value use case and your systems. We will return a grounded, safe manufacturing AI agent plan scoped to pilot.
contact@agnotic.com
Partnerships
contact@agnotic.com