Industrial AI Realized

Industrial AI,Grounded in Operating Reality.

Tiemac helps manufacturers and industrial plants build the digital, behavioral and business foundation AI needs to become useful, explainable and operationally trustworthy.

Simulation
Before Risk
Governed
Agentic AI
Plant + Business
Reality
Creep → Walk → Run
Adoption
The Challenge

Most industrial AI starts too high in the stack.

Many organizations try to apply AI before they have a reliable, connected representation of their physical and business operating reality — leading to fragmented data, limited value and unsustainable pilots.

Typical AI Approach

×Fragmented data sources
×Dashboards and disconnected tools
×Isolated pilots with limited impact
×Lack of operational context
×Difficult to scale
From
AI theater
Operational AI

Tiemac Approach

Structure operating reality first
Model behavior and simulate change
Connect plant and business context
Apply governed AI and optimization
Deliver measurable, scalable value
The Tiemac Approach

Build the Reality. Simulate the Future. Govern the Intelligence.

A proven, practical path to industrial AI adoption
1. Build Operating Reality
  • Digital scaffolding (AAS)
  • Machines, process areas, SKUs
  • Rules and behavior profiles
  • Data relationships and context
  • Standards-based and scalable
2. Activate Smart Manufacturing
  • Virtual CPPS (vCPPS)
  • No-code operational logic
  • Simulation and safe virtual testing
  • Machine/PLC integration
  • Operational analytics
3. Add Governed Intelligence
  • Descriptive AI + optimization
  • Five-source RAG / context
  • Agentic GenAI with guardrails
  • Human-in-the-loop decisioning
  • Full traceability and audit
Two Operating Realities, One Decision Layer

Connect what the plant is doing to what the business needs.

Plant Operating Reality

Assets
Sensors
PLCs
Process
Quality
Maintenance
Energy
Throughput
TAAIB – vCPPSGovernedIndustrial Decision Layer

Business Operating Reality

ERP
Customer
Commitments
Finance
Projects
MES
EAM
WMS
Quality
Same plant.
Bigger possibilities.
Operational excellence today.Business growth tomorrow.
Platform Capabilities

A complete, integrated platform for industrial transformation.

Modular. Scalable. Real-world ready.

Smart Manufacturing

Connect real assets and control systems for autonomous, optimized operations.

Simulation & AAS

Build and run virtual plants with Asset Administration Shells.

Industrial Data Foundation

Unify governed industrial data across systems and operating contexts.

AI & Optimization

Predict, optimize and drive better decisions with governed intelligence.

ERP / Business Layer

Connect to business systems and context so plant decisions carry enterprise meaning.

Visualization & Operational Intelligence

Deliver real-time insight with Grafana, OIP and governed decision support.

Adoption Pathway

Creep → Walk → Run

Adopt AI without forcing disruptive replacement.

Creep — Observe
  • Read-only plant context
  • Digital scaffolding
  • Governed evidence
Walk — Recommend
  • Simulations and what-if
  • Descriptive AI + optimization
  • Explainable recommendations
Run — Optimize
  • Connected planning
  • Agentic AI with governance
  • Business-aware operations
Industries We Serve

Real industrial environments. Real results.

ManufacturingHigher throughput & quality
Power GenerationGreater reliability & energy efficiency
Water & WastewaterCompliance & asset health
Training / Virtual OperationsWorkforce readiness & safe experimentation
Business Impact

From Better Plant Decisions to Better Business Performance.

Machine
Condition
Process
Performance
Production
& Quality
Inventory &
Customer Commitment
Cost &
Margin
Executive
Decision
A clear line of sight. A stronger tomorrow.

Tiemac creates the line of sight from a sensor or machine condition to the operational and financial consequence that matters.

The Tiemac Difference

Build the operating reality your AI can trust — then scale what works.

Start with the plant you have. Create a governed digital and behavioral representation, simulate change before introducing risk, connect plant and business reality, and apply AI where the evidence supports measurable value.

Ground AI in realityStructure assets, processes, behavior, context and constraints before asking AI to decide.
Prove change before riskUse virtual production systems, simulation and optimization to evaluate alternatives safely.
Connect operations to valueLink plant operating reality with business operating reality so decisions carry enterprise meaning.