In an era where data breaches, ransomware attacks, and industrial espionage loom over every connected endpoint, industrial operators are faced with a critical question:
How do you harness the power of AI without exposing your operations to unnecessary cyber risk?
At Ai-OPs, we believe the answer lies in intelligent design — not just in your process models, but in how your AI systems are deployed, secured, and maintained. Our Koios and Ronin platforms are purpose-built for a modern industrial reality: security-first, cloud-optional, and engineer-empowered.
Koios is Ai-OPs’ self-hosted inferencing software that allows you to deploy trained machine learning models — including deep reinforcement learning (DRL) — directly within your industrial network.
Here’s what sets it apart:
Fully air-gapped deployment: Koios operates without requiring an internet connection. Install it, license it offline, and get your AI models running — all while keeping your control system firewalled from the outside world.
Docker-based, hardware-agnostic: Whether you're on a rugged edge device or a standard 64-bit Linux server, Koios is lightweight and portable, built for real-world constraints.
Direct integration with control systems: Using standard industrial protocols like OPC-UA, Koios seamlessly ingests data and pushes predictions back to the control loop — no cloud routing, no third-party intermediaries.
The result? Faster insights, hardened security, and total control over your inferencing pipeline — all with zero reliance on cloud infrastructure.
Ronin, our AI engineering platform, enables industrial professionals to build, train, and sustain AI models — on their terms. One of its standout security features? Manual data ingestion.
No direct connection to PI Servers, SCADA, or historian systems: Instead, users can export historical datasets from their onsite infrastructure and manually import them into Ronin via a secure interface.
Site-specific data isolation: Each Ronin project is containerized at the site level. No site-to-site or org-to-org data sharing occurs unless explicitly configured.
Full traceability and documentation: Every transformation, model, and inference is tracked and versioned — giving you auditability and peace of mind.
This architecture isn’t just secure — it aligns with the most stringent internal engineering practices found in chemical, pharmaceutical, and power generation industries.
Most AI vendors will tell you they “need access to your systems” — but at Ai-OPs, we believe that’s a red flag.
Our architecture ensures:
Models can be built without real-time access to your plant data.
Models can be deployed without an internet connection.
AI predictions can be executed and delivered without ever opening a firewall.
This is how we enable closed-loop, real-time AI — securely.
We’re not here to replace your engineers or dictate your control strategy.
We’re here to equip your team with tools to build and deploy AI on their own terms, without compromising safety, reliability, or compliance.
In fact, when you combine Ronin and Koios, you get one of the most secure and self-sufficient AI workflows in the industry:
Train models in a secure, segregated workspace (Ronin).
Deploy them in an air-gapped network (Koios).
Run them without ever exposing your plant to external risk.
Let’s talk about how you can adopt AI without sacrificing security. Whether you're managing hydrogen reformers, batch fermentation, or tailings ponds — Ai-OPs has a solution that meets your standards.
Reach out to our team to schedule a consultation, or explore our Koios and Ronin documentation for a deeper dive into our secure-by-design approach.