Northern Light Analytics was founded on a pattern I kept seeing inside large public and private sector organizations: smart, well-intentioned teams with more data than they knew what to do with, and decisions that didn't reflect it.
That's not a technology failure. It's a systems problem. The data exists. The analytical tools exist. What's missing is the connective tissue between raw information and confident action.
I built ARGUS to close that gap. Not another dashboard, not another data lake. A structured way to move from disparate sources to a defensible recommendation, with the uncertainty made explicit.
ARGUS. A decision intelligence platform that takes disparate data from multiple sources and produces evidence-based recommendations with confidence scores. Designed to work in any domain where high-stakes decisions meet incomplete information.
Public sector AI systems. Retrieval systems, natural-language pipelines, intelligent chatbots, and document processing solutions built for the real constraints of government: security requirements, legacy systems, bilingual mandates, and the kind of institutional complexity that breaks most AI demos on contact with reality.
Private sector AI advisory. Strategic AI guidance for organizations working out how to integrate AI into their operations meaningfully, not performatively.
Workflow automation. Pipelines that connect systems, eliminate manual handoffs, and let teams focus on judgment rather than data wrangling.