Industrial Automation,Re-Imagined.
AUTO-X builds the software infrastructure for next-generation industrial engineering. We develop engineering intelligence tools that empower Industrial Automation and Industry 4.0 teams to design, build, verify, and operate complex automation systems with greater speed, consistency, and margin confidence.
Make industrial engineering more intelligent, connected, and dramatically more productive across the complete automation lifecycle.
The vendor-neutral intelligence operating system. Translates engineering intent into mathematically verified models and coordinates multi-discipline collaboration.
Industrial automation requires exact mathematical rigor. Our compiler rules and validation gates enforce international engineering standards mechanically at every build step.
Standardized PLC Languages (ST, LD, FBD, SFC)
Batch Control & Equipment Hierarchy Models
Enterprise-Control System Integration & UNS
Lifecycle Alarm Management & Rationalization
Industrial Security Zones & Conduits
Interoperable Motion & Logic Interchange
Mechanical Standards Encoded as Compiler Verification Gates
AUTO-X replaces subjective guidelines with deterministic mathematical rules. Select a standard below to inspect its architecture and compiler enforcement.
ISA-88 / IEC 61512
Batch & Modular ControlPhysical & Procedural Equipment Hierarchy
ISA-88 separates physical equipment from procedural recipe logic, creating modular and reusable control architectures across batch, continuous, and discrete manufacturing.
Enterprise → Site → Area → Process Cell → Unit → Equipment Module (EM) → Control Module (CM).
Procedure → Unit Procedure → Operation → Phase (Deterministic SCL execution block).
Encapsulates actuators, sensors, and state transition logic into self-contained objects.
Decoupled formula parameters allow instant product grade changes without logic recompiles.
AUTO-PLC Gate 02: Automatically generates ISA-88 Unit and EM hierarchy matrices with strict variable scoping.
Industrial automation engineering is still built by hand.
The workflow from concept to commissioning remains highly fragmented. Control engineers spend thousands of hours on repetitive tasks across disconnected tools, while organizations face severe talent shortages and margin erosion.
Tool Fragmentation
P&IDs, electrical schematics, tag registers, PLC logic, and HMI graphics live in separate, disconnected software silos. Any upstream change requires painstaking manual re-entry across every tool.
Repetitive Manual Work
Engineers spend weeks drafting boilerplate code, assigning I/O racks, scaffolding data blocks, and generating documentation. Standard patterns are recreated from scratch on every project.
Knowledge Silos & Tribal Habits
Engineering rules exist inside the heads of senior engineers rather than in executable systems. When engineers leave, institutional knowledge leaves with them, creating persistent quality risks.
Where Engineers Spend Their Time
- Requirements intake & scoping
- Repetitive tag and I/O mapping
- Manual PLC & state machine coding
- HMI screen & faceplate creation
- FDS, SDS, FAT & SAT manual drafting
- On-site commissioning troubleshooting
- Tribal knowledge handoffs
Organizational Consequences
- Critical engineering labor shortages
- Knowledge silos & turnover risks
- Unpredictable project schedules
- High cost overruns from rework
- Inconsistent standardization
- Proprietary vendor lock-in
Calculate Your Engineering Time Reclaimed
Move the sliders or select a preset below to estimate potential engineering throughput gains based on benchmark assumptions.
This estimator is a rough mathematical model based on Level 2 Engineering Value Hypotheses and industry project averages: (1) Baseline assumption of 1,920 productive engineering hours/year per engineer; (2) ~42% of total project cycle spent on manual I/O mapping, tag register bookkeeping, boilerplate SCL scaffolding, and manual test documentation; (3) Estimated ~75% reduction on repetitive tasks through deterministic compiler automation; (4) Standard $75/hour blended engineering cost rate. Actual time reclaimed depends on project complexity, software reuse, and target hardware architecture.
The true cost surfaces during Commissioning.
When requirements and code errors slip past early phases, they harden into bugs on the factory floor. Fixing a control fault during on-site commissioning costs up to 50× more in delayed production and engineering overhead than catching it at design time.
Why Deterministic AI Matters in Automation
Industrial control systems cannot tolerate probabilistic hallucinations. Here is how AUTO-X compares against manual programming and generic consumer AI.
| Capability Dimension | Traditional Manual | Generic LLMs (ChatGPT / Copilot) | AUTO-X Deterministic Platform |
|---|---|---|---|
| Syntax & Language Typing | Manual coding; prone to typos & unmapped tags | Stochastic hallucinations & invalid vendor dialect syntax | Deterministic AST compiler; 100% syntactically valid IEC 61131-3 |
| Mathematical Determinism | Variable quality depending on individual engineer habits | Non-deterministic (identical prompts yield different code) | Identical inputs produce mathematically identical output code |
| Standards Enforcement | Manual adherence to internal company conventions | Subjective textual advice without compiler verification | Hard mechanical compiler gates (IEC 61131-3, ISA-88, ISA-18.2) |
| Vendor IDE Integration | Manual typing into TIA Portal / Studio 5000 | Copy-pasting raw text into IDE with zero API bridge | .NET 8 TIA Openness Bridge for direct XML/PLC project import |
| Industrial Security & Privacy | Local files on engineering laptops | Public cloud inference; risks proprietary tag & network leaks | Local-first execution via offline Ollama LLMs & air-gapped security |
| Functional Safety (SIL Governance) | Certified safety engineers manually verify interlocks | Unsafe; hallucinates uncontrolled safety logic | Post-MVP strictly non-AI human governance & SIL separation |
AI proposes · Engines verify · Engineers approve. AI models are strictly limited to drafting candidate AST representations. Every line of downloadable logic passes non-stochastic schema validation before reaching a human engineer's desk.
Four Pillars of Next-Gen Industrial Engineering
Our approach combines AI, engineering knowledge, automation, and industrial data to connect fragmented workflows and eliminate repetitive tasks while keeping engineers in full control of critical decisions.
Engineering AI
Reasoning & Intent Conversion
Domain-tuned engineering LLMs, industrial RAG, and multi-agent reasoning convert customer requirements, P&IDs, and control narratives into structured engineering models.
- Engineering LLMs trained on industrial specifications
- Industrial RAG with strict provenance and citation tracking
- Multi-agent collaborative planning across engineering domains
- Continuous extraction of engineering intent from unstructured text
Engineering Knowledge
Standards Encoded as Hard Rules
International standards (IEC 61131-3, ISA-88, ISA-95, ISA-18.2, IEC 62443) and vendor libraries are encoded directly into the platform as mechanical validation gates.
- IEC 61131-3 syntax and typing verification
- ISA-88 batch control & equipment hierarchy models
- ISA-18.2 alarm management and rationalization rules
- IEC 62443 cybersecurity zones and conduit models
Engineering Automation
Deterministic Compiler Pipeline
A multi-stage deterministic pipeline compiles validated requirements into deployable PLC code, documentation, and test packages without hallucinations.
- Deterministic AST generation without stochastic hallucinations
- Virtual PLC simulation and automated test oracles
- One-click export to vendor IDEs (Siemens TIA Portal)
- Automated FDS, SDS, FAT, and SAT test manual generation
Industrial Data
Unified Model & Knowledge Graph
A unified engineering data model (AIR Schema) connects every engineering discipline into a single source of truth, backed by a persistent knowledge graph.
- Unified Engineering Data Model (AIR Schema)
- Knowledge Graph preserving institutional engineering memory
- Unified Namespace (UNS) & MQTT Sparkplug B integration
- Git-native version control and cross-discipline diff tracking
One Engineering Model → Multi-Vendor Projection
Inspect how the vendor-neutral Asset Interface Representation (AIR) compiles deterministically into target PLC languages, security models, and test packages.
Vendor-neutral Asset Interface Representation capturing ISA-88 control intent and interlocks.
module: AgitatorMotorControl
version: 1.0.0
standard: ISA-88 / IEC 61131-3
equipment_hierarchy:
area: MixingArea_01
unit: Reactor_01
equipment_module: EM_Agitator
inputs:
- name: Cmd_Start
type: BOOL
desc: Start command from SCADA/HMI
- name: Cmd_Stop
type: BOOL
desc: Stop command from SCADA/HMI
- name: Fbk_Running
type: BOOL
desc: Contactor aux feedback
- name: Alrm_ThermalTrip
type: BOOL
desc: Thermal overload relay status
interlocks:
- condition: "Alrm_ThermalTrip == TRUE"
action: "FORCE_STOP"
trip_priority: HIGH
standard_ref: ISA-18.2
outputs:
- name: Out_Contactor
type: BOOL
desc: Digital output to motor contactorAI proposes, engines verify, engineers approve. No AI output is ever deployed directly to a PLC without passing mechanical compilation, standards verification, and explicit human sign-off.
PlatX: The AI-Native Industrial Engineering OS
PlatX transforms industrial automation engineering from a fragmented, document-driven ordeal into a unified, model-driven, AI-assisted engineering ecosystem.
“The Siemens + EPLAN + AVEVA + GitHub + ChatGPT + Palantir for Industrial Automation Engineering.”
PLC Automation + Electrical CAD + SCADA/Supervision + Version Control + Generative AI + Industrial Data Intelligence
A human-supervised platform where requirements generate designs, designs generate software, software generates simulations, simulations generate tests, and operations continuously improve future engineering cycles.
Five Foundational Platform Layers
Structured architecture ensuring mathematical consistency from intake to execution.
Engineering Intelligence Layer
AI Reasoning & Intent ConversionProvides AI reasoning across the engineering lifecycle. Houses specialized engineering LLMs, industrial RAG pipelines, multi-agent coordination systems, and domain rule engines to convert human intent into deterministic engineering models.
Unified Engineering Data Model
The Single Source of Truth (AIR Schema)The foundational core of PlatX. Everything maps into a common, vendor-neutral data model: Requirements, P&IDs, Tag databases, Instruments, I/O allocations, Control Narratives, PLC logic, HMI objects, and Alarm philosophies.
Engineering Knowledge Graph
International Standards & Vendor DNAStores and connects international engineering standards (ISA-88, ISA-95, IEC 61131-3, IEC 62443, IEC 61511), multi-vendor libraries (Siemens, Rockwell, Schneider, ABB, Beckhoff), and institutional project memories.
Simulation & Digital Twin Engine
Virtual Commissioning & VerificationProvides closed-loop verification through virtual PLC simulation, process physics modeling, and virtual commissioning testbeds. Validates logic against automated test oracles before physical deployment.
DevOps & Lifecycle Layer
Version Control & GovernanceBrings modern software engineering discipline to industrial automation: Git-native version control, strict gate approval workflows, AST-level diffing, release management, and continuous change tracking.
// GOVERNANCE NOTE (FIS Aligned): PlatX platform layers and autonomous lifecycle models represent conceptual architectural designs. Production engineering is currently focused on AUTO-PLC (PLC Engineering Automation MVP) and AUTO-IO (I/O Allocation POC).
Engineered for Your Industrial Workflow
Whether you are bidding fixed-price integration projects, manufacturing repeatable machine lines, or managing global plant assets.
For System Integrators (SIs)
Protect Margins & Deliver Projects 2× FasterEliminate the massive risk of fixed-price bid erosion caused by unexpected commissioning rework and manual boilerplate programming.
For Machine Builders & OEMs
Standardize Repeatable Machine Software PackagesGenerate modular, standardized PLC and HMI software architectures for your machine product lines with instant FAT documentation packages.
For Enterprise Manufacturers & Plants
Bridge OT/IT & Preserve Institutional Engineering KnowledgeUnify disconnected plant control software, maintain single-source-of-truth tag definitions, and eliminate reliance on tribal senior engineer memory.
Industrial Automation Maturity Diagnostic
Take this 4-question self-assessment to benchmark your engineering team delivery efficiency and identify margin-risk bottlenecks.
How does your engineering team generate PLC logic for new projects?
Assessing code generation methodology and reuse maturity
Built for Today. Architected for Tomorrow.
From our starter MVP (AUTO-PLC) generating deterministic Siemens SCL logic to the broader PlatX unified engineering platform vision.
PlatX
AI-Native Industrial Engineering Operating SystemThe unified platform connecting the complete industrial automation lifecycle. Integrates AI reasoning, encoded domain knowledge, and a unified engineering data model to transform document-driven engineering into a continuous model-driven ecosystem.
AUTO-PLC
PLC Engineering Workflow AutomationThe first PlatX module and starter MVP proof point. Transforms PLC software engineering from requirements intake to release through a deterministic, AI-assisted 6-stage compiler pipeline.
AUTO-IO
Automatic I/O Design & Cabinet LayoutAutomates instrument signal mapping, rack allocation, cabinet layouts, and termination diagrams, eliminating weeks of manual spreadsheet errors.
AUTO-PLC: The 6-Stage Deterministic Pipeline
Interactive view of the 6 compile-verify gates converting raw user requirements into validated, deployable Siemens TIA Portal Structured Text.
Deterministic Gate Execution
Click any stage to inspect the inputs, transformation engine, output artifacts, and validation rules.
Deterministic Code Generation
Emits mathematically reproducible IEC 61131-3 code without hallucinated syntax.
Validated AIR Control Model
Deterministic AST Emitter (Siemens SCL, DBs, UDTs)
Structured Text (ST/SCL) Function Blocks & Global DBs
Syntax typing & strict variable scope bounds validation
5-Phase Closed-Loop PLC Engineering Flow
AUTO-PLC operates strictly through a closed-loop compiler pipeline: AI proposes models, deterministic engines verify rules, and certified engineers approve release.
Control Narrative Intake
Extract Functional Intent & Boundary Conditions
The engineering process begins with customer functional requirements, P&ID sensor registers, and equipment interlock descriptions.
Collaborative Autonomous Agent Swarm
Five specialized subagents pass typed engineering artifacts through deterministic verification gates.
SclCompiler Agent
Deterministic Code EmitterGenerating strongly typed SCL function blocks and static instance data blocks with zero hallucinations.
FB_AgitatorControl.scl (IEC 61131-3 AST)Truth Domain Governance: Active implementations currently centered on AUTO-PLC (MVP: demo ready with Siemens TIA Portal ST import) and AUTO-IO (technically validated PyQt6 POC). Functional Safety (AUTO-SAFE) is an explicitly designated Post-MVP capability under certified human governance and is never automated by generative AI.
Industrial-Grade Security by Design
Critical infrastructure demands uncompromising data isolation. AUTO-X combines deterministic AI compiler verification with local-first air-gap architecture.
Air-Gapped & Local-First Execution
Zero Outbound Internet TelemetryAUTO-X is designed for complete offline execution using local Ollama LLMs. Your control algorithms, tag tables, and network topologies never cross your plant security boundary.
Strict Data Sovereignty
No Public Model TrainingYour engineering data remains strictly yours. Proprietary project files and vendor DNA are never uploaded to public AI models or stored on unauthorized third-party clouds.
Cryptographic Artifact Seals
SHA-256 Code VerificationEvery emitted SCL block, data table, and configuration XML is cryptographically hashed with SHA-256 seals, preventing unauthorized modification before TIA Portal import.
IEC 62443 Security Alignment
Industrial Zone & Conduit RulesNative modeling of industrial security zones, conduits, communication protocols, and port access controls compliant with international OT cybersecurity requirements.
Safety Logic is Never Automated by Generative AI
Under AUTO-X constitution rules, Functional Safety (AUTO-SAFE) is an explicitly designated Post-MVP capability. Life-critical safety interlocks, Emergency Stop routines, and SIL (IEC 61508 / IEC 61511) validations are strictly segregated from AI code generators and require certified human engineering sign-off.
Built by an automation engineer, for automation engineers.
AUTO-X was born from the direct frustration of commissioning complex automation projects by hand. We combine deep industrial domain expertise with modern software engineering and deterministic AI.
Ahmed Mohsen Abouelyazed
Founder / CEO & CTODomain Background
Experienced control systems engineer with hands-on industrial automation delivery across oil & gas, process manufacturing, utilities, and infrastructure. Extensive background spanning PLC programming, SCADA development, electrical design, and on-site plant commissioning.
Proficient in Siemens TIA Portal, Rockwell Studio 5000, Schneider EcoStruxure, and international standards (IEC 61131-3, ISA-88, ISA-95, ISA-18.2, IEC 62443). AUTO-X was designed to eliminate the repetitive friction and knowledge silos that control engineers face every day.
Our Guiding Principles
The rigorous standards and safety tenets that govern every product decision at AUTO-X.
Engineering Intent First
We start with structured engineering requirements, not loose prompts. The unified model is the single source of truth for everything that follows.
Amplification, Not Replacement
AUTO-X amplifies engineer productivity, never replaces them. Human engineers retain complete authority over every critical decision.
Deterministic & Safe
Identical inputs produce mathematically identical outputs. AI proposes, engines verify, humans approve: no surprises during plant commissioning.
Standards as Hard Rules
IEC 61131-3, ISA-88, ISA-18.2, and IEC 62443 are encoded as mechanical compiler validators, not subjective suggestions.
Verification First
Getting it mechanically right is more important than moving blindly fast. Every line of code passes syntax, type, and gate checks.
Evidence-Driven Governance
Assumptions are labeled as assumptions. No manufactured precision. Customer evidence and formal validation drive all product milestones.
Our Journey
From initial foundation to full AI-Native Industrial Engineering OS.
Company Founded
AUTO-X established with the mission to make industrial engineering more intelligent, connected, and productive.
PlatX Platform Architecture
5 foundational layers and 9-phase lifecycle module catalog defined.
AUTO-PLC Starter Engine
6-stage deterministic pipeline and AIR schema designed.
TIA Openness Bridge Validated
.NET 8 C# bridge verified for Siemens TIA Portal Structured Text XML import.
System Integrator Beta Pilots
Initial partner pilots evaluated against E4 validation gate (<5% rework on senior review).
PlatX Multi-Vendor Alpha
Expansion to Rockwell L5X, CODESYS, Schneider, and on-premise air-gap appliance.
Answers before you commit.
Search our knowledge base or filter by category to explore deterministic verification, vendor bridges, Functional Safety (SIL), and pilot qualification.
Consumer LLMs are probabilistic text predictors that hallucinate invalid PLC dialect syntax and non-deterministic logic. AUTO-PLC combines domain-tuned LLMs solely for intent parsing with a strict, non-stochastic AST compiler. Every emitted line of Structured Text (SCL) is verified against mechanical schema gates, standards rules, and type boundaries before reaching the engineer.
Under the AUTO-X constitution, Functional Safety (AUTO-SAFE) is an explicitly designated Post-MVP module under strict independent human governance. Life-critical safety interlocks, Emergency Stop routines, and SIL validations are NEVER automated by generative AI. Safety logic requires certified human engineer authoring and sign-off.
Beta pilot trials begin in Q4 2026 for qualifying System Integrators, machine builders (OEMs), and enterprise automation teams. Beta access is free for selected pilot partners during the validation phase.
Get Early Access to AUTO-X & PlatX
Register for early beta access, book a technical discovery session for your engineering team, or explore partnership opportunities.
Headquarters & Regional Focus
Cairo, Egypt: Serving System Integrators across the MENA region & global industrial automation teams.
Egypt / MENA / GlobalDirect Communication Channels
AUTO-X is currently in pre-seed validation. We are conducting deep technical interviews and structuring pilot trials with automation leaders.