Introducing immune

I spent three decades as an engineer and the last fifteen years as an entrepreneur, working on projects ranging from IoT-based water management—before IoT was a buzzword—to designing ASICs for post-quantum cryptography. Over the years, I’ve seen industries struggle with technology adoption amid skepticism, fragmentation, and the challenge of balancing innovation with practicality. One constant need has been for better data-driven decision-making, especially in industrial settings. That’s why we built immune—to bring transparent, open, and effective manufacturing intelligence to an industry that desperately needs it.

In industrial maintenance, timely information can mean the difference between smooth operations and costly downtime. Yet for too long, the power to harness machine data has been locked behind proprietary software, opaque machine learning models, and expensive vendor ecosystems. At immune, we’re changing that. We believe manufacturing intelligence should be open, transparent, and accessible to everyone. Our open-source platform empowers maintenance teams to take control of their data, prevent failures, and extend the life of their equipment—all without vendor lock-in or unnecessary complexity.

But what exactly does immune do? And how does it differ from the AI-powered solutions currently flooding the market? Let’s take a closer look.

Bridging Data Science and Industrial Expertise

At its core, immune is a manufacturing intelligence platform designed to detect, diagnose, and prevent equipment failures. It ingests raw sensor data—temperature, pressure, vibration, current, and more—from existing industrial infrastructure, analyzes it in real time, and provides actionable insights that help maintenance teams make informed decisions.

Unlike conventional AI-driven predictive maintenance tools, immune doesn’t rely solely on black-box machine learning models. Instead, we combine data-driven methods with domain expertise and physics-based insights. This hybrid approach offers interpretable diagnostics and avoids the common pitfalls of generic models that detect anomalies without explaining their causes.

How It Works

1. Data Ingestion Without Disruption

One of immune’s core principles is adaptability. We integrate seamlessly with existing industrial systems—whether it’s a computerized maintenance management system (CMMS), a historian, or direct sensor feeds. Our architecture is non-intrusive, allowing facilities to benefit from advanced analytics without replacing current infrastructure or disrupting operations.

2. Advanced Processing & Context-Aware Analysis

Raw sensor data is often noisy and incomplete. immune applies a structured signal-processing approach to clean, contextualize, and enrich the data before analysis. Our models don’t just spot generic anomalies; they factor in operating conditions, maintenance history, and known failure modes to provide diagnostics that fit real-world operations.

3. A Smarter Approach to Failure Prediction

Many predictive maintenance models train solely on historical failure data. The challenge? Industrial failures are often rare, making it hard to collect enough examples. immune tackles this issue with advanced modeling techniques that go beyond basic statistical pattern recognition. By incorporating physics-based models that explain how components degrade over time, our platform can predict failures even when historical data is limited.

4. Actionable Insights, Not Just Alerts

A common frustration with industrial AI solutions is the overload of vague or excessive alerts, leaving maintenance teams uncertain about how to respond. immune provides clear, prioritized recommendations that explain why an issue is occurring and what steps should be taken to resolve it. Whether that means adjusting operational parameters, scheduling preventive maintenance, or identifying a component for replacement, immune turns data into informed decisions.

5. Open-Source & Open-Core: Flexibility for All

Transparency is at the heart of our mission. We follow an open-core model similar to GitLab’s, offering a free and open-source core platform that anyone can use, modify, and contribute to. Organizations can deploy immune themselves or choose our managed cloud-hosted version with enterprise-grade features and support. Keeping our core open enables a broader community to innovate, adapt, and extend the platform to meet specific needs—whether integrating with niche equipment, customizing analytics workflows, or building on our API.

A Mission Beyond Technology

While immune is a powerful tool for predictive maintenance, our broader mission is to democratize manufacturing intelligence. We envision a future where every facility—regardless of size or budget—can access the tools needed to reduce waste, prevent failures, and operate more sustainably.

Manufacturing consumes a significant share of global energy and resources. Unplanned downtime not only causes inefficiencies but also leads to excessive material waste and unnecessary emissions. By making advanced diagnostics accessible, we empower organizations to operate more efficiently, extend asset lifespans, and reduce their environmental impact.

Looking Ahead

We are at a turning point in industrial technology. The convergence of IoT, AI, and open-source software is reshaping how factories and plants operate. For this transformation to truly benefit the industry, we need more than just technology—we need transparency, collaboration, and accessibility.

With immune, we are building more than a predictive maintenance platform; we are fostering a movement toward open, explainable, and community-driven manufacturing intelligence. If you’re an industrial leader, engineer, or investor who shares this vision, we invite you to explore immune, contribute to our open-source ecosystem, and help shape the future of industrial intelligence.

Because the future of manufacturing shouldn’t be locked away—it should be open to all.