In today’s rapidly evolving industrial landscape, AI is no longer a futuristic ambition—it’s a competitive necessity. But a quiet tension is growing under the surface: the disconnect between who builds your AI and who operates it. This gap is responsible for delayed value, bloated costs, and brittle deployments that fall apart when processes inevitably shift.
At Ai-OPs, we’re turning that model on its head. Our mission? Empowering engineers to take control of their own AI future—with tools that make AI development and deployment a continuous, self-sustaining loop.
Welcome to Ronin—the enterprise AI build application engineered by control engineers, for control engineers.
Most AI projects in industrial settings follow a familiar—and frustrating—pattern:
External consultants collect your process data.
Data scientists far removed from the plant floor build models.
IT scrambles to integrate the output into legacy systems.
Six months later, your control room still runs on outdated logic.
Sound familiar?
The reason is simple: your AI is being built by someone who doesn’t operate it, and operated by someone who can’t maintain it.
Ronin is the first AI platform that empowers industrial engineers to build, train, and sustain their own machine learning and deep reinforcement learning (DRL) models—without needing a data science degree.
Inside Ronin, engineers work within a project-driven architecture that mirrors real-world operations:
Site-level project control ensures data segregation and compliance.
Built-in data transformation pipelines keep your raw signals clean and ready.
Training and model lifecycle tools allow engineers to iterate at the speed of change.
And most importantly, Ronin is designed around Deep Reinforcement Learning—a technique that mimics how the best human operators learn: through trial, feedback, and continuous improvement.
What’s the point of building world-class AI if it can’t be deployed?
That’s where Koios, our self-hosted inferencing engine, completes the picture.
With Ronin, you build and train.
With Koios, you deploy and optimize—at the edge, on secure networks, and even completely air-gapped.
Together, they form a closed-loop AI architecture—from ingest to inference—that you control entirely.
Here’s why it’s revolutionary to build and inference AI within the same ecosystem:
Speed: No handoffs between teams or tools. Go from data to model to production in weeks, not quarters.
Sustainability: Engineers who build the models understand how to maintain and adapt them over time.
Security: Your models never leave your infrastructure. No cloud dependencies. Full air-gapped compatibility.
Freedom: No licensing entanglements with black-box models. You own everything you build.
This isn’t just about efficiency. It’s about liberating industrial AI from the vendor-lock loop that’s stifled innovation for too long.
Ai-OPs customers using Ronin and Koios together have achieved:
Up to 22% production efficiency gains through DRL-based control.
300 to 8,000 MTCO₂e annual emissions reductions.
Payback periods under 6 months—even in legacy environments.
And they’ve done it without cloud infrastructure, without external AI consultants, and without abandoning their existing control systems.
The industrial world doesn’t need another “AI as a service” provider. It needs tools that put AI in the hands of engineers who know the process better than any algorithm ever could.
So we ask again:
What if the company you inference your AI with… was also the company you build your AI with?
At Ai-OPs, that’s not a what-if. That’s reality—with Ronin and Koios at the center.
Ready to own your AI journey?
📩 Contact us for a pilot program or check out how Ronin works in the field: https://ai-op.com