Stardog

We are a data and AI company offering a Semantic AI Platform. Our platform helps enterprise companies and government agencies make data-driven decisions. It allows organizations to explore data and find hidden connections for critical problems. The Semantic AI Platform connects all enterprise data with relevant context for real-time accuracy.

Our platform features a flexible semantic layer, explainable AI, and reusable data modeling. This design helps data engineers and scientists be more productive. We offer graph data virtualization and a graph database that connects various data sources, including data lakehouses, warehouses, and other enterprise data sources, without moving or copying data. Our platform applies expert knowledge during queries to find hidden patterns and insights.

We also offer Stardog Voicebox, which lets knowledge workers ask natural language questions about their data to get quick, secure, and accurate answers. Our clients include Morgan Stanley, Boehringer Ingelheim, Raytheon, Bosch, and NASA. We work in software development, specializing in topics like enterprise data unification, graph databases, machine learning, virtual graph, artificial intelligence, big data, semantic layer, knowledge graph, and conversational AI.

Our mission is to help everyone who uses data make informed decisions. We want to break the cycle of repeatedly copying and transforming data for each new project, so data can flow freely and drive growth and innovation.

Our core values are:

• Do the hard things: We take on challenges, addressing difficult tasks and conversations directly.
• Solve problems creatively: We reframe problems to find solvable solutions.
• Listen earnestly: We listen carefully to understand our colleagues’ questions, views, and claims, both inside and outside the company.
• Be as direct as possible: We are direct and sincere in our communication, creating an environment where everyone can express themselves authentically.
• Practice charity: We trust others’ intentions and dedication, resolving any ambiguities in their favor. We see this as both ethical and rational.

We have 51-200 employees. Our founders started their data-focused mission in 2006 after meeting at the University of Maryland AI Lab. We maintain a remote-first, growth-oriented culture. We foster a collaborative work environment that offers opportunities for growth.

We are committed to diversity, equity, and inclusion, working to create a workplace where everyone feels they belong, their ideas are heard, and hard work is recognized.

We offer competitive compensation, equity, and performance incentives. We also provide health insurance and access to a 401(k) retirement plan with matching contributions. We support remote-first work with flexible arrangements.