About
Ladder Logic Solutions (LLS) was founded to close the critical skills gap widening on modern plant floors. For over a decade, we worked in the field as electrical contractors and plant electricians, seeing firsthand how industrial environments truly operate.
In most facilities, deep-level PLC troubleshooting knowledge is tightly hoarded by a single "gatekeeper" specialist—leaving maintenance teams and electricians completely stranded when critical machinery stalls at 3:00 AM.
We change that dynamic permanently. By transitioning from the daily firefighting of the floor to an instructor's lens, we deconstructed exactly how processors handle faults under pressure. We don’t just teach standard programming code from a textbook; we equip industrial professionals with the exact mental models, system files, and systematic diagnostic frameworks required to eliminate the guesswork, confidently clear complex faults, and become the new go-to automation experts.
Mission
The mission is simple: to teach the lessons learned at three in the morning, when there’s no one left to call — so others can replace uncertainty with confidence, build real skill, and move forward in their careers.
Vision
Industrial control systems are changing, but the fundamentals are not.
As legacy platforms are retired and modern architectures become the standard, the transition is inevitable — confusion doesn’t have to be.
The vision is to bridge yesterday’s systems to today’s platforms by teaching execution order, instruction behavior, and logic structure in a way that makes modern controllers intuitive, not intimidating.
Learn the fundamentals once. Use them everywhere.
Values
Foundations before platforms
Software changes. Execution order doesn’t. We teach what stays true.
Hands-on thinking
Real problems don’t come with walkthroughs. Training emphasizes troubleshooting, observation, and intentional logic design.
Respect for legacy systems
Older platforms aren’t mistakes — they’re teachers. Understanding them builds stronger engineers in modern environments.
Clarity over complexity
If logic is confusing, it’s not done yet. Code should tell the story of the machine.
Learning doesn’t stop after class
Take the class. Keep the software. Build your trainer. Keep going.