SStardog provides Enterprise Knowledge Graph solutions to unify and manage data from many sources across an organization. Its main offering, the Stardog Enterprise Knowledge Graph Platform, lets users integrate disparate data, run queries, and visualize connections in a connected view. The platform supports both on-premises and cloud deployments and is sold through a subscription, with extra revenue from consulting, training, and technical support. Stardog differentiates itself by targeting large-scale enterprise data needs with a comprehensive knowledge-graph platform that combines data integration, querying, and visualization in one system, backed by real-world ROI reports from major customers. The company's goal is to help organizations achieve cost savings and improved operations by turning complex data into accessible, strategic insights.
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Industries
Company Size
51-200
Company Stage
Series B
Total Funding
$17.6M
Headquarters
New York City, New York
Founded
2005
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Total Funding
$17.6M
Below
Industry Average
Funded Over
6 Rounds
Industry standards
Stardog, an enterprise knowledge graph and semantic AI solutions company, has appointed Alan Gibson as chief revenue officer. Gibson brings over 25 years of global revenue and go-to-market leadership experience in data and AI companies. As chief revenue officer, Gibson will lead Stardog's global revenue organisation and go-to-market strategy, focusing on customer engagement and expanding the company's market presence. Gibson joined Alteryx pre-Series A and spent 11 years in leadership roles. After Alteryx's IPO, he led its EMEA organisation as the business scaled to over $600 million in global revenue. He subsequently served as chief revenue officer at Dremio and DataCamp. At DataCamp, Gibson doubled the business and helped position the company towards $100 million in revenue.
Stardog promotes Navin Sharma to chief product officer as company expands semantic AI Platform. May 12, 2026 Navin Sharma Stardog has promoted Navin Sharma to chief product officer as the enterprise software company pushes deeper into the emerging market for semantic AI infrastructure designed to support autonomous AI agents and enterprise-scale reasoning systems. The promotion comes as organizations increasingly experiment with "agentic AI" - systems capable of independently analyzing information, orchestrating workflows and making operational decisions - while facing persistent challenges tied to fragmented enterprise data and weak contextual understanding. Stardog positions its platform as a semantic layer that connects enterprise data across disparate systems and gives AI applications the contextual structure needed to reason reliably and transparently. The company argues that existing enterprise AI deployments often fail to scale because large language models and autonomous agents lack grounded, trustworthy data environments capable of supporting explainable decision-making in complex operational settings. CEO Craig Harper said Sharma has played a central role in shaping the company's product strategy and platform evolution as enterprise customers accelerate investment in AI systems requiring stronger governance, transparency and contextual reasoning capabilities. Under Sharma's leadership, Stardog has expanded its technology stack across knowledge graphs, data integration and generative AI tooling to create what it calls a "Semantic AI Platform" aimed at enabling production-grade AI systems rather than isolated pilot projects. The company is increasingly framing its offering as "Semantic AI Infrastructure for the Agentic Enterprise," a category intended to sit between fragmented enterprise data systems and AI applications. That positioning reflects one of the fastest-growing themes in enterprise AI: the need for infrastructure layers capable of organizing, contextualizing and governing enterprise data before it can be effectively used by autonomous AI agents. Knowledge graphs and semantic technologies - once viewed as niche enterprise tools - have regained attention as companies seek ways to improve AI accuracy, reduce hallucinations and maintain explainability in regulated or mission-critical environments. CTO and co-founder Evren Sirin said Sharma helped evolve Stardog into a platform specifically designed for AI agents operating across large and complex enterprise data ecosystems. Sharma brings extensive experience building B2B data and AI products and is known for combining technical architecture expertise with commercially focused product strategy. In his statement, he described Stardog as building the "cognitive backbone" for future human-agent collaboration across industries including manufacturing, supply chain management and life sciences research. The company says its semantic infrastructure enables enterprises to capture and scale organizational knowledge while maintaining governance and explainability requirements increasingly demanded by regulators and enterprise customers. Stardog's technology is built on World Wide Web Consortium open standards and is used by organizations including NASA, Raytheon and Boehringer Ingelheim. The appointment comes amid surging enterprise spending on AI infrastructure, where companies are increasingly shifting focus from experimental generative AI interfaces toward operational systems capable of integrating securely with enterprise data, workflows and decision-making processes.
Carnegie Hall partners with Stardog to introduce ai-powered tool helping visitors to explore 130+ years of Performance History. NEW YORK, Dec. 17, 2025 /PRNewswire/ - Carnegie Hall, one of the world's greatest concert halls, is partnering with leading AI and knowledge graph company Stardog to introduce an AI-powered tool that helps online visitors to search and explore the Hall's vast performance database of more than 62,000 events. This new digital resource invites everyone - from music lovers and students to historians and artists - to easily learn more about the incredible array of concerts and events that have taken place at the iconic music venue over the last 130+ years. Online visitors can now ask questions through a conversational AI chat interface (carnegiehall.org/voicebox), inquiring about the wide variety of artists who have appeared on the Hall's illustrious stages, discovering which musical compositions or songs were performed, how often, and by whom - making Carnegie Hall's performance history accessible to fans in a new, exciting way. "As an organization, we're always looking at how technology can improve the experience of those we serve at Carnegie Hall," said Ezra Wiesner, Chief Information Officer at Carnegie Hall. "We're excited to work with Stardog and use their cutting-edge technology to experiment with a new window into the world of Carnegie Hall in a way that honors its history and inspires new generations of music lovers to explore." Stardog, better known for building advanced AI systems for NASA and enterprise giants like Morgan Stanley, Raytheon, and Bosch, is branching into the cultural sector with this collaboration. Stardog Voicebox, the company's knowledge graph-powered natural language interface, allows end users in the general public to ask questions and receive precise, context-rich answers from Carnegie Hall's database. "At Stardog, we help organizations uncover trusted and often hidden insights from their data," said CEO Craig Harper. "AI can be a very abstract concept for the general public and partnering with Carnegie Hall is a unique opportunity to bring our technology to the public in a way that is meaningful, educational, and enduring." More About Carnegie Hall's Susan W. Rose Archives Carnegie Hall's Archives was established in 1986. Since no central repository existed prior to that time, a significant portion of the Hall's documented history had been lost, discarded, or otherwise forgotten. For nearly 40 years, the Archives team has meticulously re-constructed the Hall's history, frequently turning to concertgoers, artists, and music lovers across the country to collect more than 400,000 items related to more than 62,000 performances and events. In 2012, the Archives entered a new chapter launching an initiative to conserve and digitize most of its historic materials, ensuring that the Hall's legacy is preserved and can be shared with future generations. In 2013, searchable program information from 1891 through the present day was made available directly to the public through its online Performance History Search. In 2019, the Hall's new Digital Collections invited the public to search and explore select archival collections online for the very first time. The launch of carnegiehall.org/voicebox in 2025 - inviting users to experiment by utilizing the latest tools available in the world of AI - underscores the Hall's commitment to preservation, education, and accessibility in the digital age. "In 2017, we decided to make our semantic linked open data available on the web, enabling us to connect our information to other data found online," said Rob Hudson, Assistant Director of Carnegie Hall's Rose Museum and Archives. "The introduction of Voicebox builds on that foundation, encouraging online visitors to interact with our history in a fun, easy way." About Stardog Stardog is a Data and AI company dedicated to empowering organizations to make critical, data-driven decisions from the boardroom to the battlefield. Our Semantic AI Platform unifies complex data and transforms it into trusted, contextual, and actionable insights. Trusted by leaders such as NASA, Morgan Stanley, and Raytheon, Stardog provides knowledge workers with secure, transparent, and AI-driven access to the data they need. To learn more, visit https://www.stardog.com/. About Carnegie Hall Since it opened in 1891, Carnegie Hall has set the international standard for musical excellence as the aspirational destination for the world's finest artists. From Tchaikovsky, Dvorák, Mahler, and Bartók to George Gershwin, Billie Holiday, Duke Ellington, Benny Goodman, Judy Garland, and The Beatles, music-making by a long list of artists representing the best of every genre has filled Carnegie Hall over the years. Today, Carnegie Hall presents a wide range of performances each season including concert series curated by acclaimed artists and composers; citywide festivals featuring collaborations with leading NYC cultural institutions; orchestral performances, chamber music, new music concerts, and recitals; and the best in jazz, global, and popular music. Complementing these performance activities, Carnegie Hall's Weill Music Institute creates wide-reaching music education and social impact programs that serve hundreds of thousands of people annually. These programs, along with a growing range of digital initiatives that extend Carnegie Hall's reach worldwide, play a central role in delivering on Carnegie Hall's commitment to making great music accessible to as many people as possible. For more information, visit carnegiehall.org. View original content to download multimedia:https://www.prnewswire.com/news-releases/carnegie-hall-partners-with-stardog-to-introduce-ai-powered-tool-helping-visitors-to-explore-130-years-of-performance-history-302644800.html SOURCE Stardog NOTE: This content is not written by or endorsed by "WOWK", its advertisers, or Nexstar Media Inc.
/EIN News/ - ASHBURN, Va., Sept. 12, 2024 (GLOBE NEWSWIRE) - Stardog has announced the launch of SKATHE, a new private GPU cloud facility accelerated by NVIDIA and located in Ashburn, Virginia.
Additionally, Stardog launched Stardog Karaoke, an appliance version of Voicebox that will enable highly-regulated businesses who utilize a hybrid cloud strategy to reap the enormous benefits of Voicebox and Generative AI (GenAI).
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Industries
Company Size
51-200
Company Stage
Series B
Total Funding
$17.6M
Headquarters
New York City, New York
Founded
2005
Find jobs on Simplify and start your career today
We update Stardog's jobs every few hours, so check again soon!Browse all jobs