Stardog
Stardog is an enterprise knowledge graph platform founded in 2006 by Kendall Clark, Michael Grove, and Evren Sirin at the University of Maryland AI Lab.
Profile
Stardog builds enterprise knowledge graph software that lets companies query siloed data using natural language without hallucinations.
Stardog is an enterprise knowledge graph platform founded in 2006 by Kendall Clark, Michael Grove, and Evren Sirin at the University of Maryland AI Lab. The company spent its first decade bootstrapped before entering institutional funding in 2017. Headquartered in Arlington, Virginia with roughly 95 employees as of May 2026, Stardog addresses a longstanding problem in large enterprises: data fragmentation.
The platform unifies siloed data sources through automated ontology creation and semantic reasoning, positioning itself as foundational infrastructure for generative AI applications. In September 2025, the company appointed Craig Harper—a veteran of ServiceNow and Cherwell Software—as CEO, signaling a shift toward sales-driven growth in the agentic AI market. The same year brought Sara Golbourn as Chief Revenue Officer, adding enterprise go-to-market muscle.
Stardog's core offering centers on natural language querying (via Voicebox, released April 2024), knowledge graph-as-a-service, and semantic search capabilities designed to reduce AI hallucination by grounding responses in enterprise context. Major customers span government (NASA, NIH, U.S. Department of Defense, Australian Defence), pharmaceutical (Boehringer Ingelheim), financial services (Morgan Stanley, BNY Mellon), and industrial (Bosch, Siemens, Raytheon).
A Gartner recognition in May 2025 placed Stardog in the Emerging Market Quadrant for AI Knowledge Management Apps. Funding has totaled approximately $32.5 million across seven rounds, including a Series A expansion to $9 million (2018), Series B expansion to $11.4 million (2020), and a Series C round in May 2023 from Accenture Ventures and others (undisclosed amount). The company's strategic pivot reflects a bet that enterprise AI success hinges on trustworthy, contextualized data rather than raw model scale. Recent partnerships—including a December 2025 collaboration with Carnegie Hall to build AI tools for archival exploration—suggest Stardog is testing adjacent use cases beyond its traditional data-unification narrative.
Who buys this
- Government agencies and defense contractors requiring mission-critical data fusion and risk mitigation
- Pharmaceutical and biotech firms accelerating drug discovery through unified research data access
- Financial services firms managing compliance, risk, and customer data across legacy systems
- Manufacturing and industrial companies optimizing supply chain visibility across disparate systems
Publicly disclosed clients
- NASA
- Morgan Stanley
- Boehringer Ingelheim
- NIH
- Bosch
- Raytheon (RTX)
- Australian Department of Defence
Strengths and what to watch
Strengths
- Verified customer roster spanning government, pharma, and Fortune 500 financial services; long sales cycles and multi-year contracts reduce churn
- Semantic reasoning layer differentiates from vector-database competitors; Voicebox natural language interface (GA April 2024) directly addresses GenAI hallucination risk
- Leadership transition (CEO Harper, CRO Golbourn in 2025) signals institutional capital discipline and enterprise GTM maturity after founder-led growth phase
Watch for
- Leadership strategy churn noted in employee reviews: multiple CMO and CFO turns within 2-year windows suggest uncertain go-to-market direction despite recent CRO hire
- Series C funding (May 2023) amount remains undisclosed; no Series D announced as of May 2026 despite 18+ months elapsed and agentic AI momentum—funding runway and valuation inflection unclear
- Nascent agentic AI narrative (Harper's Sept 2025 appointment speech pivoted hard to agents) lacks mature reference architectures; early-stage partnerships (Carnegie Hall) suggest exploratory phase, not land-and-expand
Recent moves
Key Information
- Industry
- Database
- Founded
- 2015
- Employees
- 51-200
- Headquarters
- Arlington, VA
Frequently Asked Questions
What is Stardog?
Stardog is an enterprise knowledge graph platform founded in 2006 that unifies siloed data sources through semantic reasoning. It enables companies to query fragmented data using natural language without hallucinations, addressing data fragmentation in large enterprises. Headquartered in Arlington, Virginia, Stardog serves government, pharma, financial services, and manufacturing sectors.
How does Stardog prevent AI hallucinations?
Stardog prevents AI hallucinations by grounding responses in enterprise context through semantic reasoning. Voicebox, released April 2024, is a natural language interface querying unified knowledge graphs instead of raw model output. This contextual anchoring reduces hallucination risk by tying AI responses to verified enterprise data.
What major companies use Stardog?
Stardog serves major enterprises across government (NASA, NIH, U.S. Department of Defense, Australian Defence), pharmaceuticals (Boehringer Ingelheim), financial services (Morgan Stanley, BNY Mellon), and industrial sectors (Bosch, Siemens, Raytheon). These long-term contracts demonstrate trust in Stardog's ability to handle mission-critical data unification and reduce churn.
What is Voicebox in Stardog?
Voicebox is Stardog's natural language interface released in April 2024 that allows users to query enterprise knowledge graphs conversationally. It democratizes data access by eliminating complex query languages, enabling non-technical users to retrieve insights. Voicebox directly addresses hallucination risks by grounding AI responses in verified, unified enterprise data sources.
How does Stardog differ from vector databases?
Stardog differentiates through its semantic reasoning layer, not just vector search. It uses automated ontology creation to unify siloed data sources before querying, addressing enterprise data fragmentation. While vector databases excel at similarity search, Stardog enables contextual, hallucination-free responses by grounding results in enterprise knowledge graphs and business logic.
Is Stardog focused on agentic AI?
In September 2025, Stardog appointed CEO Craig Harper from ServiceNow to drive agentic AI growth. The company positions its knowledge graph as foundational infrastructure for AI agents requiring trustworthy, contextualized data. This reflects Stardog's strategic bet that enterprise AI success hinges on contextualized data rather than model scale alone.
How Stardog compares
Direct head-to-head against 3 competitors. Picked by 7wData.
Stardog
- Positioning
- Stardog builds enterprise knowledge graph software that lets companies query siloed data using natural language without hallucinations.
- Customer segments
- Government agencies and defense contractors requiring mission-critical data fusion and risk mitigation
- Strengths
- Verified customer roster spanning government, pharma, and Fortune 500 financial services; long sales cycles and multi-year contracts reduce churn
- Watch for
- Leadership strategy churn noted in employee reviews: multiple CMO and CFO turns within 2-year windows suggest uncertain go-to-market direction despite recent CRO hire
- Recent moves
- Stardog Appoints Former ServiceNow Executive Craig Harper as CEO to Lead Agentic AI Growth
Neo4j
- Positioning
- Enterprise data connectivity platform trusted by 84 Fortune 100 companies; repositioning as default context layer for agentic AI.
- Customer segments
- Data and engineering teams in financial services, retail, government, and manufacturing; CTO and chief data officer buyers.
- Strengths
- 84 Fortune 100 deployments, over $200M annual revenue; production-proven at Uber, Walmart, and Klarna at scale.
- Watch for
- Proprietary Cypher query language, not SPARQL; enterprises with RDF/OWL compliance mandates report standards mismatch and portability lock-in.
- Recent moves
- October 2025: committed $100M internal investment, launched Aura Agent and MCP Server targeting agentic AI workloads.
Graphwise
- Positioning
- Formed by October 2024 merger of Ontotext and Semantic Web Company; targets enterprise AI grounding through open semantic standards.
- Customer segments
- Publishers, financial institutions, healthcare organizations, and government agencies; semantic architect and data governance buyer personas.
- Strengths
- 200-plus enterprise deployments including BBC, NASA, World Bank, and Financial Times; deepest RDF/SPARQL/OWL pedigree among pure-play semantic competitors.
- Watch for
- Post-merger integration risk: GraphDB and PoolParty remain distinct product lines; enterprise buyers cite unclear unified roadmap and support continuity.
- Recent moves
- July 2025: enhanced GraphDB as agentic AI memory layer, adding broad LLM support including Llama, Gemini, DeepSeek, and Qwen.
Altair Graph Studio
- Positioning
- Formerly Cambridge Semantics Anzo, acquired April 2024; sold as the semantic data intelligence layer inside Altair's broader analytics suite.
- Customer segments
- Pharma, biotech, and financial services firms; named customers include Merck, Johnson and Johnson, Roche, Novartis, and Credit Suisse.
- Strengths
- AnzoGraph OLAP engine delivers high-performance SPARQL analytics at scale; decade-long pharma deployments at Merck, Roche, and Novartis.
- Watch for
- Altair's primary revenue comes from simulation and HPC software; semantic data roadmap may lose priority inside an unrelated product portfolio.
- Recent moves
- October 2025: Altair featured Graph Studio as the semantic governance anchor across its agentic AI platform update announcement.
Sources
- www.stardog.com — Founding date (2006), founders (Clark, Grove, Sirin), headquarters, founding team backgrounds
- www.stardog.com — Craig Harper CEO appointment Sept 30 2025, strategic focus on agentic AI, company mission
- www.stardog.com — Named customers: NASA, Boehringer Ingelheim, NIH, Morgan Stanley, Springer Nature, Raytheon, Bosch, Australian Defence, Office of Secretary of Defense
- www.crunchbase.com — Total funding $32.5M, Series A $6-9M (2017-2018), Series B $9-11.4M (2019-2020), Series C May 2023 undisclosed
- www.glassdoor.com — Employee satisfaction 4.1/5, 72% recommend, leadership strategy churn concerns (3 CMOs, 3 CFOs)
- www.globenewswire.com — Voicebox general release April 2024, Karaoke on-premises product, hallucination-free positioning
- venturebeat.com — Voicebox as LLM-powered NLQ layer, data democratization positioning
- newsroom.accenture.com — Series C May 2023 investment from Accenture Ventures, strategic partnership rationale