For over two decades, TQ has helped the world's largest organizations break down data silos: so their teams, and their AI, can make better decisions, faster.
TQ was founded by pioneers of the semantic web, and for more than two decades we've helped shape the open standards that knowledge graphs and modern data governance are built on.
Our team co-authored SHACL, the W3C standard for validating RDF data, and everything we build runs on open semantic standards: RDF, OWL, and SPARQL. That keeps your enterprise data interoperable, portable, and free of vendor lock-in by design, not as an afterthought.
It's why the world's most data-intensive organizations trust TopBraid to turn fragmented metadata and siloed systems into governed, explainable, AI-ready knowledge graphs. When the foundation is semantic and the standards are open, your data, and the AI built on it, can finally be trusted at scale.
We were building the semantic foundations for trusted data long before "AI-ready" was a category.
Founded by semantic-web pioneers on a simple bet: that meaning, not just storage, would define the next era of enterprise data. From day one, the mission was to make data understandable to machines and people alike.
We shipped one of the first enterprise platforms for building, managing, and governing knowledge graphs: bringing ontologies, RDF, and reasoning out of research labs and into the hands of production data teams.
Our team co-authored SHACL, the W3C shapes and validation standard: giving the entire industry an open, vendor-neutral way to keep graph data correct, consistent, and trustworthy by design.
TopBraid EDG unified data governance, cataloging, and policy on a single knowledge-graph platform: now trusted by Fortune 1000 enterprises across financial services, pharma, manufacturing, and government.
Today we build the trusted Context between your data and your AI: turning two decades of semantic expertise into accurate, explainable, and governed foundations for the AI era.
We're a team of innovators and semantic-web pioneers solving the hardest data problems for the world's largest organizations.
“I help the world's biggest banks get AI and data governance right. The problems are high-stakes and genuinely hard, which is exactly why I love it here.”Robyn DixonFinancial Services Lead
“We take on serious problems for serious enterprises, without the bureaucracy. I get to build a team that ships thoughtful work and truly owns it.”Jim CrewsDirector of Engineering
“Every customer brings a problem I've never seen before. I'm always learning, and there's always a teammate ready to dig into the graph with me.”Laurie NelsonSemantic Solutions EngineerData-driven innovators, problem-solvers, and semantic-web pioneers, the people behind every TQ deployment.
Ideas on connected, trusted, AI-ready data, from the team that helped write the standards.
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