AI is more than a chatbot.

DEWITX.neuro designs and develops intelligent systems that work with complex data, real operational constraints, and the people responsible for making decisions.

From rapid prototypes to deployed capabilities, we help organizations turn emerging AI technologies into systems that are useful, explainable, adaptive, and built around the mission.

LLMs when they make sense. Traditional machine learning when they don’t. The right architecture for the problem.

Build AI systems that do more than generate text.

We design agents capable of reasoning across data, using tools, querying enterprise systems, coordinating workflows, and turning complex information into actionable outputs—with human oversight and guardrails where they matter.

Agent architectures · Tool use · RAG · Knowledge graphs · Workflow automation · Human-in-the-loop systems

Find structure in complex, high-dimensional data.

We develop machine learning pipelines for classification, prediction, anomaly detection, clustering, behavioral modeling, sensor fusion, and decision support—including problems where generative AI is not the right tool.

Predictive modeling · Anomaly detection · Unsupervised learning · Feature engineering · Multimodal fusion · Model evaluation

Turn imagery and video into operational information.

From object detection and scene understanding to multimodal systems that combine vision with other sensor or contextual data, we build computer vision capabilities around the environment in which they actually need to operate.

Detection · Classification · Tracking · Visual reasoning · Video analytics · Multimodal AI

Connect information instead of adding another dashboard.

We build systems that organize fragmented data into usable models of the world—combining ontologies, knowledge graphs, semantic search, AI agents, visualization, and analytics to support both human and machine reasoning.

Ontologies · Knowledge graphs · GraphRAG · Semantic systems · Decision support · Interactive visualization