Stardog Union Unclaimed
New York, NY, United States
Stardog Union provides an Enterprise Knowledge Graph platform to unify data, enable advanced analytics, and empower enterprise AI.
Stardog Union is a technology company delivering an Enterprise Knowledge Graph platform and accompanying semantic AI capabilities to enterprises. It helps organizations connect data across silos, model complex relationships, enable governance and analytics, and power AI applications with context-rich, machine-understandable data. The company emphasizes privacy, open standards, human-in-the-loop AI, and a partner ecosystem to support large-scale data initiatives across industries.
Artificial Intelligence Strengthened by Human Intelligence.
What we offer
Semantic AI Platform
Delivers trusted, context-rich insights for AI and analytics across enterprise data silos.
www.stardog.com/product/Stardog Voicebox
Instantly query enterprise data in natural language for accurate insights.
www.stardog.com/voicebox/Stardog Explorer
Easily explore complex data fabrics without coding through an intuitive interface.
www.stardog.com/explorer/Stardog Designer
Facilitates the quick modeling and publishing of knowledge graphs without coding.
www.stardog.com/designer/Stardog Studio
Streamline data management with Stardog Studio's powerful features for modeling, querying, and administration.
www.stardog.com/studio/Connectors
Easily connect and unify data from various sources to enhance insights and decision-making.
www.stardog.com/platform/connectors/Professional Services
Accelerate knowledge graph projects with expert support and tailored training.
www.stardog.com/professional-services/Stardog Support Packages
Expert-led support packages designed to enhance your experience with Stardog.
www.stardog.com/support/Market segments
Market size by segment
Growth potential (CAGR)
Knowledge graph management
Capabilities to model, store, query, and maintain enterprise knowledge graphs, including graph data models, Cypher query generation, and integration with upstream data sources.
Data catalog and metadata management
Capabilities to catalog data assets, surface lineage and business context, and enable collaboration for data discovery and trust.
Enterprise conversational AI
Virtual assistants and chatbots delivering 24/7 omni-channel support, natural language understanding, secure data handling, workflow automation, and ticket reduction for employee and customer service use cases.
Implementation and managed services
Implementation, upgrades, post-production support, offshore delivery, helpdesk, training, auditing and ongoing program management.
More information about our offering
Semantic AI Platform
Stardog's enterprise Semantic AI Platform unifies data across silos with a knowledge-graph powered semantic layer. It enables ontology-driven reasoning, explainable analytics, and context-rich data for AI agents, providing trusted insights without vendor lock-in. Stardog Cloud is included as a managed service, offering cloud-hosted access to the platform with various plans. It supports scalable deployments and management without on-prem installation.
- Surface Patterns For Better DecisionsBy leveraging knowledge graph reasoning, the platform uncovers hidden patterns and relationships dynamically, ensuring data-driven decisions are based on comprehensive insights.
- Connect Data Without Moving ItThe platform offers advanced data virtualization, allowing seamless connectivity to various data sources, improving efficiency while minimizing infrastructure costs.
- Establish Trusted ContextsEmploying ontologies ensures that AI models operate with a consistent set of definitions and contexts, enhancing reliability and reducing errors during AI reasoning.
- Ensure High AvailabilityGuaranteed 99.9% uptime and priority support helps businesses with mission-critical applications rely on Stardog Cloud.
- Enhance Analytical EfficiencyThe platform's design facilitates rapid model development and analytics, allowing teams to derive insights faster and make informed decisions quickly.
- Store Up To 1 Million EdgesThis feature allows users to effectively manage substantial data relationships for free, facilitating experimentation and initial deployments.
- Manage Data EffortlesslyData modelers, developers, and administrators can easily build and manage their data fabric using intuitive tools.
- Ask Questions NaturallyTransform data interactions by enabling users to retrieve insights using everyday language.
- Utilize Up-to-Date InformationThe platform’s real-time integration capabilities ensure that AI agents are always informed by current data, enhancing their performance and decision-making capabilities.
- Choose Self-ManagementEnable organizations to maintain control over their infrastructure, which suits complex deployment needs.
- Leverage Automated InsightsSimplifies data interactions by providing intuitive, context-aware responses.
- Utilize Shared Cloud HostingFacilitates cooperative projects while providing a scalable environment for growing data needs.
- Enable Seamless AccessIntegration with popular authentication methods streamlines user access and enhances security.
Stardog Voicebox
Stardog Voicebox leverages Large Language Models (LLMs) for natural language queries, providing reliable and timely answers from enterprise data while discovering hidden connections across datasets. It integrates seamlessly with existing data infrastructures and automates complex queries, enabling knowledge workers to focus on insights rather than data handling.
- Get Immediate AnswersVoicebox democratizes data access by enabling anyone to query complex datasets using everyday language, eliminating the barrier of technical knowledge.
- Ensure Trustworthy InsightsVoicebox's foundation on knowledge graphs minimizes errors by providing reliable and accurate data-driven results, essential for business decision-making.
- Focus on InsightsWith AI handling the heavy lifting, users can direct their attention to gaining actionable insights instead of getting bogged down in data queries.
- Enhance Existing InfrastructureVoicebox integrates with various data sources, ensuring easy access and management of data across the organization without disruption.
- Access Any Data SourceWith a wide range of connectors, Voicebox allows organizations to unify data from diverse infrastructures, streamlining data access and usage.
Stardog Explorer
Stardog Explorer is an in-browser data fabric browser for exploring a data fabric without code. It visually presents connections, lets users build advanced queries, and displays results as lists or graphs for easy exploration.
- Uncover Hidden InsightsInvestigate your data intuitively and reveal intricate relationships and trends across datasets.
- Build Queries VisuallyConstruct complex queries visually without needing in-depth knowledge of query languages like SPARQL.
- Filter Results IntuitivelyEfficiently search through your data fabric by applying contextual filters that help quickly locate specific information.
- Understand Relationships VisuallyUtilize graph visualizations to quickly see and comprehend the interconnections within your data.
- Visualize Large Data SimplisticallyGet an actionable overview of big data through automatic grouping, which simplifies understanding complex datasets.
Stardog Designer
Stardog Designer is a no-code, visual environment for data engineers and analysts to connect, map, model, and publish data.
- Simplifies Data ModelingThis feature allows non-technical users to easily create and adjust data models, increasing accessibility and lowering the barrier to entry.
- Enables Data Model ReusePublishing your models allows teams to reuse elements across projects, fostering collaboration and consistency.
- Enhances Visualization of Data ModelsThis intuitive interface helps users see relationships between data elements clearly, aiding in understanding and design.
- Streamlines Data ConnectivityQuickly link existing data lakes, like Databricks, or add new data from sources like CSV files to enrich your models.
- Adapts External ModelsUsers can easily integrate existing models and modify them to fit specific needs, enhancing flexibility and functionality.
Stardog Studio
Stardog Studio is an integrated development environment for building and managing your data fabric, featuring a query workspace, data modeling, and data virtualization.
- Optimize Queries VisuallyEnhance query efficiency with visual representation tools, allowing users to easily identify and resolve performance bottlenecks.
- Build Data Models VisuallyUtilize intuitive form-based editors to construct and modify data models, allowing for quick adaptations to changing requirements.
- Connect Data Sources SeamlesslyEffortlessly connect various data sources into your virtual environment without the need for data movement, ensuring real-time updates.
- Manage Users And Roles EffectivelyEasily create, review, and manage user roles and permissions within Stardog Studio, ensuring secure and efficient data access.
- Update Models EffortlesslyEasily modify existing models using new form-based editors, simplifying the process of adapting to evolving business needs.
- Visualize Data EasilyTransform query results into interactive charts quickly, helping users summarize and share insights effortlessly.
Connectors
Stardog Connectors enable seamless integration with over 80 enterprise data sources, supporting both structured and unstructured data. They facilitate the creation of a connected data ecosystem, allowing users to make informed decisions based on comprehensive insights from diverse data silos without the need for data duplication.
- Unify Data From Any SourceAccess data across silos and formats without moving or duplicating it, streamlining workflows and improving data accessibility.
- Secure, Scalable ConnectivityBenefit from robust security and the ability to scale as organizational data needs grow, ensuring reliable performance under heavy workloads.
- Query Live DataInstantly access and analyze live data across different sources, enhancing decision-making capabilities.
- Enhance Insight ContextStreamline data interpretation by uncovering relationships between diverse data points, enabling better analysis and reporting.
Professional Services
Professional Services helps accelerate knowledge graph initiatives with strategic, technical, and training support to align data governance, metadata management, and ontology design with business goals.
- Accelerate Project TimelinesOur proof of concept service demonstrates the potential of your project quickly, allowing stakeholders to visualize outcomes effectively.
- Simplify ImplementationOur comprehensive development services ensure your knowledge graph projects are launched smoothly, enabling quick implementation and successful outcomes.
- Align Projects with Business GoalsOur experts provide strategies that align your data-centric initiatives with the overarching objectives of your organization, ensuring a higher chance of success.
- Enhance Team SkillsOur tailored training sessions equip your team with the necessary skills to leverage Stardog's capabilities fully.
- Reduce Operational OverheadOur managed services allow you to focus on strategic initiatives while we handle the operational complexities of your Stardog Cloud environment.
Stardog Support Packages
Stardog Support Packages provide tiered assistance for enterprise licenses, including Base, Premium, and 24/7 options with defined response times and resources.
- Receive Continuous SupportYour data never sleeps and neither does our support, with 24/7 assistance available.
- Get Fast And Effective AssistanceFaster responses when time is of the essence, complemented by access to more technical resources.
- Align Project Goals With SuccessYour dedicated CSM acts as your strategic advisor, collecting feature requests and sharing roadmap input.
- Receive Answers And SolutionsIncluded with your enterprise license, get answers to your questions and solutions to your technical issues.
References
Methodology and sourcing behind the figures shown above.
Knowledge graph management
Multiple industry reports in the search results estimate the knowledge-graph market at roughly USD 1.3–1.7B in 2024–2025 with multi-year forecasts to ~USD 8–9B by the early-to-mid 2030s. GMI and MarketResearchFuture provide similar CAGR estimates (~18.6–19.4%), while MarketsandMarkets projects a higher CAGR (31.6%) to a 2032 figure. I select a current market size of ~USD 1.5B (2025) and a growth potential ~19.4% CAGR as the consensus-aligned estimate supported by multiple sources.
- The global knowledge graph market was valued at USD 1.5 billion in 2025... to USD 8.4 billion in 2035 at a CAGR of 19.4%.
- projected to reach USD 9.88 billion by 2032 from USD 1.90 billion in 2026, at a compound annual growth rate (CAGR) of 31.6%.
- The Knowledge Graph Market Size was estimated at 1.268 USD Billion in 2024... grow from USD 1.505 Billion in 2025 to USD 8.299 Billion by 2035, CAGR 18.62%.
Data catalog and metadata management
Estimated using recent industry reports for metadata-management and data-catalog markets. Fortune Business Insights provides a baseline metadata-management market valuation (USD 14.36B in 2025) and a 21.22% CAGR; CoherentMarketInsights and SNSInsider report similar multi‑billion market sizes and double‑digit growth (20.8–23.4%). PersistenceMarketResearch shows the narrower data-catalog subsegment is smaller (~USD 1.43B in 2026, CAGR 12.6%), supporting that catalogs are a subset of the broader metadata management market. I weight the broader metadata-management estimates as the segment baseline and use Fortune’s CAGR as the representative growth potential.
- "The global metadata management tools market size was valued at USD 14.36 billion in 2025."
- "The global metadata management tools market is estimated to be valued at USD 14.80 Bn in 2026... CAGR of 20.8% from 2026 to 2033."
- "The global data catalog market size is likely to reach US$ 1.43 billion in 2026... growing at a CAGR of 12.6% between 2026 and 2033."
- "Enterprise Metadata Management Market Size was valued at USD 8.97 Billion in 2023 and is expected to reach USD 59.36 Billion by 2032... CAGR of 23.40%."
Enterprise conversational AI
Provided search results were unrelated (Enterprise car rental/dealer pages) and contained no market data for enterprise conversational AI. Using sector knowledge of conversational AI (enterprise virtual assistants, chatbots, contact-centre automation) and recent industry reports as a basis, I estimate the global enterprise conversational AI annual market at roughly $12 billion. Adoption drivers include omni-channel customer/employee support, workflow automation, ticket reduction, and rapid LLM-driven capability gains; these justify a strong multi-year growth outlook. A midpoint CAGR of ~22% reflects typical vendor/research forecasts for conversational AI/contact-center AI in the low- to mid‑20s percent range over the next 3–7 years.
Implementation and managed services
Estimation based on multiple managed-services market reports in the search results. Global managed-services sizing ranges roughly from ~$197B–$437B (2024–2026 baselines) with several firms projecting double‑digit growth (≈11–15%); US-specific sizing is substantially smaller (~$128B in 2025). Treating “implementation and managed services” as a broad subsegment of the managed‑services market (implementation/professional plus ongoing managed delivery), I selected a midpoint global market size (~$400B) and a growth potential near the higher-consensus CAGR (~12%) reflecting strong demand for managed security, cloud operations, and implementation services cited in the sources.
- The global managed services market size was valued at USD 330.4 billion in 2025 and is projected to grow... CAGR of 14.80% during the forecast period.
- The Global Managed Services Market Size was $205.5 billion in 2021 and is predicted to grow with a CAGR of 11.3%.
- The global Managed Services market was valued at USD 197.4 Billion in 2024; projected to USD 419.66 Billion by 2035, CAGR 7.18% (2025–2035).
- US managed services market size was reached USD 128.07 billion in 2025 and is projected to reach $162.52 billion by 2030 (CAGR 4.9%).
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