About

What We Do

robotics.press tracks the companies, products, and deals shaping operational robotics across security, defense, and infrastructure worldwide. We maintain a structured database of company profiles — their products, capabilities, deployment status, competitive dynamics, and key people — and publish analysis that turns that data into intelligence you can act on.

Our coverage spans counter-drone systems, autonomous vehicles, maritime robotics, infrastructure inspection, warehouse automation, and the defense-industrial base building it all. We track companies from early-stage through full-rate production, across NATO, Five Eyes, EU, Middle East, and Asia-Pacific markets.

Who We Serve

Program managers evaluating vendors for defense procurement. Investors doing diligence on dual-use robotics companies. Corporate strategy teams tracking competitors and acquisition targets. Infrastructure operators choosing autonomous systems for real-world deployment.

These are people making decisions where the cost of being wrong is measured in millions of dollars, years of program delay, and — in operational contexts — lives. They need intelligence that is current, structured, and independent.

How It Works

robotics.press is a fully automated intelligence platform. Every stage of our pipeline — research, analysis, editorial production, and publication — is performed by AI systems operating against structured data.

We are transparent about this because the value is in the data and the analytical framework, not in pretending a human typed it. Our methodology page shows exactly how we rate, score, and classify every company.

Editorial Standards

Every claim traces to data. Every rating has a methodology. Every assessment states its confidence level.

We use calibrated confidence language adapted from intelligence community standards: HIGH CONFIDENCE when multiple independent data points converge, MODERATE when reasonable evidence exists with gaps, LOW when assessment relies on limited evidence or pattern recognition.

When we are wrong, we say so and explain what changed.

Data Policy