INDUSTRIAL INTELLIGENCE ENGINEERING

Turn industrial data into operational intelligence.

Sentinel AI Systems helps manufacturers connect operational technology, business systems and industrial data so people, applications, analytics and AI can work with meaningful manufacturing context.

Your manufacturing data. Your architecture. Your choice of technology.
Designed for adoption
Role-based · audit-ready · mobile-first
Built to integrate
UNS thinking · clean interfaces · scalable models
Pilot → scale
Start small, prove value, expand fast
SENTINEL CONTEXT · EXAMPLE
Operational systems — CONNECTED
OT + enterprise sources available
CONNECTED
Manufacturing context — RESOLVED
Equipment + signals + production relationships
RESOLVED
Integration readiness — READY
Context available to applications, analytics & AI
READY
OT DATA
Connected
ERP / MES
Context
INTEGRATION
Open
AI READINESS
Assessed
Assess
Industrial AI Readiness & Opportunity Assessment
Evaluate manufacturing problems, existing systems, available data, missing context and practical opportunities. Produce an implementation-ready roadmap.
Connect
Industrial Data & Context Integration
Connect information from PLC/SCADA, OPC UA, MQTT, historians, MES, ERP, CMMS, databases and APIs. Establish meaningful relationships between equipment, signals, production, maintenance and business context.
Solve
Applied Industrial Intelligence
Develop focused solutions for reliability, production, quality, scheduling and operational decision support. Apply analytics and AI where evidence and business value justify them.
Scale
Architecture & Integration Support
Extend successful solutions across equipment, lines and sites while maintaining interoperability and avoiding unnecessary vendor lock-in.
What we do

Practical engineering for manufacturing outcomes.

We help manufacturers connect systems and data, clarify operational context, and apply analytics and AI where it creates measurable value.

Connected industrial information

Bring together information from OT and IT systems so teams and applications can work from consistent, reliable data sources.

Meaningful manufacturing context

Establish relationships between equipment, signals, production, maintenance and business data so raw information becomes operationally meaningful.

Focused operational solutions

Deliver targeted engineering and analytics that address specific operational problems — not broad, generic promises.

Architecture that can scale

Provide interoperable patterns and integration practices that extend successful work across lines and sites.

How we build

Standards-driven architecture for scale.

We apply industrial information modeling, Unified Namespace principles and ISA-95 concepts to keep data in context and integrations manageable as you scale.

Standards-driven architecture

We apply modeling and namespace principles to keep data in-context and integrations manageable as you scale.

Shared operational truth

Teams and systems align around the same context to reduce blind spots and improve decision making.

Start small, prove value

Deliver a focused proof of value, then expand scope and reach based on evidence and measurable outcomes.

Engineering approach

Read about our approach →