Humanex

AI Machine Agents Portal

From enterprise applications to machine execution with Edge AI agents, AI devices, digital twins, software-defined control, and an independent safe kernel.

Enterprise-to-machine autonomy Agentic & deterministic Edge AI native

Modern automation for factories that need more than static PLCs

Humanex replaces rigid PLC-centric automation with a software-defined, agentic control fabric. Enterprise systems trigger orchestrated AI agents and AI devices at the machine edge — backed by real-time digital twins, protocol abstraction, deterministic virtual control, and an independent safe kernel.

Why it matters

  • Software updates instead of hard-coded controller rewrites
  • AI agents that reason, plan, and coordinate across machines
  • AI edge devices that act in real time on machine data
  • Predictive, adaptive, vendor-neutral automation

Core promise

Translate business intent into machine-level execution while preserving safety, determinism, traceability, and explainability — at any scale.

20–40%Less downtime
30–60%Faster changeovers
10–25%OEE improvement

Note: these are illustrative only and can vary depending on final implementation.

Animated operating model

Watch how enterprise intent flows down to AI agents, AI devices, and machines — with feedback in real time.

Enterprise Integration Orchestration AI Agents Twins / Events Virtual Control Edge Enterprise Apps ERP · MES · PLM CMMS · WMS Historian · BI Business intent Integration Connectors Canonical model Security · Governance Bi-directional Agent Orchestration Planning · Reasoning Policies · Approvals Multi-agent coordination Autonomy with guardrails Specialist AI Maintenance Agent Quality Agent Energy Agent Scheduling Agent Reason · Decide · Act Twins & Events Digital twins Event stream Time series Live operational context Virtual Control Deterministic runtime Motion · Sequencing Protocol adapters + Safe Kernel (SIL/PL) Machines Robots Drives CNC Vision AI Edge Device Inference · Real-time control Sensors → Actions in ms

Innovation pillars

An open, modular platform that adapts to your operation — not the other way around.

1

Enterprise integration

Connect ERP, MES, CMMS, PLM, WMS, and analytics into a governed canonical model.

2

Agent orchestration

Coordinate goals, policies, approvals, and execution with an orchestration layer built for industrial autonomy.

3

Specialist AI agents

Domain agents for scheduling, maintenance, quality, energy, and inventory — reasoning continuously.

4

Twins & events plane

A live operational context through digital twins, event streams, and historians.

5

AI edge devices

Real-time inference at the machine, executing policies in milliseconds with deterministic guarantees.

6

Virtual control plane

Software-defined, deterministic control replaces rigid PLC-centric logic where appropriate.

7

Independent safe kernel

Independently certified safety enforcement — interlocks, watchdogs, STO, SIL/PL.

8

Unified deployment UI

Configure sites, machines, protocols, twins, agents, and releases in one role-based interface.

Business outcomes

Typical ranges observed by Humanex customers across discrete and process manufacturing.

20–40%Reduction in unplanned downtime
30–60%Faster changeovers and line reconfiguration
20–35%Lower engineering and maintenance cost
10–25%Improvement in OEE and throughput
25–40%Increase in operational agility
StrongerResilience: built-in safety, security, and fault tolerance

Note: these are illustrative only and can vary depending on final implementation.

Why move beyond static PLCs

The benefits of replacing PLC-centric automation with a software-defined, agentic architecture.

Software-defined control

Deploy updates in software, version releases, and reconfigure production without hardware rewrites.

Enterprise-to-machine autonomy

Translate orders, schedules, and maintenance intent directly into governed machine actions.

Cross-machine coordination

Coordinate robots, conveyors, drives, vision, and process steps across cells and lines.

Predictive maintenance automation

Detect anomalies, plan work orders, and reduce downtime with specialist maintenance agents.

Open connectivity

Use one abstraction layer across multiple protocols and machine vendors instead of point-to-point integrations.

Safer and explainable

Independent safe kernel and full traceability of decisions, policies, and actions.