HyperGraphDB
HyperGraphDB is a general purpose, open-source data storage mechanism based on a powerful knowledge management formalism known as directed hypergraphs. While a persistent memory model designed mostly for knowledge management, AI and semantic web projects, it can also be used as an embedded object-oriented database for Java projects of all sizes. Or a graph database, or a (non-SQL) relational database. HyperGraphDB is a storage framework based on generalized hypergraphs as its underlying data model. The unit of storage is a tuple made up of 0 or more other tuples. Each such tuple is called an atom. One could think of the data model as relational where higher-order, n-ary relationships are allowed or as graph-oriented where edges can point to an arbitrary set of nodes and other edges. Each atom has an arbitrary, strongly-typed value associated with it. The type system managing those values is embedded as a hypergraph and customizable from the ground up.
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eccenca Corporate Memory
eccenca Corporate Memory provides a multi-disciplinary integrative platform for managing rules, constraints, capabilities, configurations, and data in a single application. Overcoming the limitations of traditional, application-centric (meta) data management models, its semantic knowledge graph is both highly extensible, integrative as well as interpretable both by machines and business users. The enterprise knowledge graph platform re-establishes global data transparency in enterprises as well as line-of-business ownership in a complex and dynamic data environment. It enables you to drive agility, autonomy, and automation without disrupting existing IT infrastructures. Corporate Memory integrates and links data from any source in a central knowledge graph. Use user-friendly SPARQL and JSON-LD frames to explore your global data landscape. The data management in the enterprise knowledge graph platform is implemented by HTTP identifiers and metadata.
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Timbr.ai
Timbr is the ontology-based semantic layer used by leading enterprises to make faster, better decisions with ontologies that transform structured data into AI-ready knowledge. By unifying enterprise data into a SQL-queryable knowledge graph, Timbr makes relationships, metrics, and context explicit, enabling both humans and AI to reason over data with accuracy and speed. Its open, modular architecture connects directly to existing data sources, virtualizing and governing them without replication. The result is a dynamic, easily accessible model that powers analytics, automation, and LLMs through SQL, APIs, SDKs, and natural language. Timbr lets organizations operationalize AI on their data - securely, transparently, and without dependence on proprietary stacks - maximizing data ROI and enabling teams to focus on solving problems instead of managing complexity.
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SCIKIQ
SCIKIQ is an enterprise data fabric and AI platform that moves organizations from fragmented data to production-ready AI.
AI is only as good as the meaning behind the data. SCIKIQ builds that foundation with data semantics, ontologies, and knowledge graphs, connecting data integration, data quality, data governance, and master data management into a unified data fabric that gives AI true business context.
167+ pre-built connectors including SAP, Snowflake, Oracle, and Kafka.
No migration. Cloud-agnostic. Live in 30–90 days, Fastest ROI
Built on a semantic layer with data catalog, data lineage, ETL, and agentic AI,
SCIKIQ brings conversational analytics and self-service business intelligence to business teams , while data teams keep full governance and control.
Recognized by Forrester as a Top 34 AI Platform globally. NASSCOM League of 10. YourStory Tech30.
Trusted by category leaders in banking, financial services, retail, manufacturing, and supply chain & Logistics.
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