Oakley Capital, an investment firm, has acquired Graphwise for an undisclosed amount. This transaction sees Oakley Capital take ownership of Graphwise, a company specializing in making enterprise data and content AI-ready through advanced knowledge graph technology. The acquisition represents a direct corporate purchase, integrating Graphwise into Oakley Capital's portfolio.
Graphwise empowers enterprises by providing a trusted semantic backbone that connects data silos and grounds search, analytics, and AI in a reliable, governed context. Designed for organizations where precision and complexity are high, Graphwise transforms enterprise data into a governed knowledge graph, serving as a single source of truth for AI applications. This technology enables more accurate search, reduces the risk of hallucinations, and allows organizations to scale AI initiatives with confidence and measurable return on investment. Graphwise was formed through the merger of Ontotext and Semantic Web Company and operates with a global team of over 200 professionals across North America, Europe, and APAC.
The acquisition by Oakley Capital is strategically aimed at capitalizing on the increasing demand for robust AI infrastructure and sophisticated data governance solutions. By bringing Graphwise into its fold, Oakley Capital gains a leading provider of knowledge graph technology crucial for enterprise AI adoption. This move is intended to accelerate Graphwise's market reach and product development, leveraging Oakley Capital's resources to further enhance Graphwise's ability to serve complex enterprise needs for AI-ready data. The combination is set to strengthen Graphwise's position in the evolving landscape of artificial intelligence.
The integrated entity is now poised to address the critical need for trusted, contextual knowledge in the era of advanced AI. This strategic integration is expected to further empower Graphwise's offering, expanding its impact on enterprises worldwide seeking to leverage AI effectively and responsibly. The focus will remain on breaking down data silos, improving discovery, and connecting AI to trusted, contextual knowledge for global organizations.