Data Technology and Services is a Denver-based AI engineering firm. We connect enterprise data into knowledge graphs, build machine learning that earns its complexity, and engineer the agents and pipelines that put both into production. Our work spans semiconductor and advanced-materials manufacturing, energy and process engineering, aerospace supply chains, medical devices and global news analytics. Every engagement starts with the data and the decision it needs to support, and ends with a system your team can explain, run and extend.
We connect enterprise data into Neo4j Knowledge Graphs and develop the ontology that defines its concepts and exposes coverage gaps. GraphRAG and MCP-based agents then put the graph to work, so AI answers are grounded, explainable and auditable. Graph Data Science adds relationship features no flat table contains.
Proven patterns packaged as reference architectures we build inside your environment. FabOS brings AI and ML to semiconductor manufacturing: drift detection, at-risk batch tracing and yield prediction. Schematic Intelligence turns P&IDs and engineering drawings into knowledge graphs that agents check for QA/QC and safety-relief verification.
We start with the statistics: which parameters drive your outcomes, and by how much. Regression sets a transparent baseline, then tree ensembles, sequence models and transformers are added only where they measurably beat it, with every prediction kept explainable.
Senior architecture and hands-on engineering for the systems around your AI: strategy, real-time data and streaming, independent technical assessment and modernization of the platforms everything else depends on.
Ready to put your data to work? Whether it's a knowledge graph, a production ML model or an AI roadmap, let's talk about what it can do for your organization.
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