False alarms dropped from 22% to 4.7% when we replaced 10,000 rules with 252 ontology entities. How DLAS compiles OWL axioms to Erlang pattern matches.
Why We Built an Ontology Engine Instead of Another Rules System
Every IoT platform has a rules engine. We built something different: a 252-entity OWL ontology that understands what equipment is, not just what values it reports.
The Problem with Rules
Traditional industrial alarm systems work like this:
IF temperature > 80°C THEN alert
Most security tooling works by asking you to define what "bad" looks like upfront. Falco gives you...
Most AI incidents don't happen because the model gave a bad answer. They happen because nobody was...
One rule changed how we build AI systems. No AI output is allowed to directly trigger critical...
Move beyond simple code generation. Learn why production AI agents require rigorous state management, observability, and…
Evidence First, Answer Second: Building an Observable Industrial AI Agent with SigNoz Most...
Six months ago I wrote about how a "viral" Dev.to article promoting a Local RAG tool sold exactly one...
