Your AI Agents do not need data trapped in isolated silos. Start with Virtuoso's Linked Data deployment: global identifiers (URIs), explicit relationships (RDF) and plain HTTP turn scattered records into one data space.
docs.openlinksw.com/virtuoso…#CTO#LinkedData#SemanticWeb#RDF
Your AI Agents do not need custom middleware to reach legacy databases. Start with Virtuoso: every record gets a URI and is served over HTTP as machine-computable data that authorized agents follow.
docs.openlinksw.com/virtuoso…#CDIO#KnowledgeGraph#RDF#SQL
Your AI Agents do not need an LLM hardwired into your database. Start with Virtuoso as an MCP server: agents discover its tools and turn natural language into SQL or SPARQL, loosely coupled.
openlinksw.com/weblog/?post=…#CAIO#CTO#Agentic#MCP
Your AI Agents do not need expensive copies of your data. Start with Virtuoso's Semantic Data Virtualization: one query spans SQL tables, knowledge graphs and WebDAV filesystems, with nothing moved.
community.openlinksw.com/t/v…#CDO#CIO#DataSpaces#SQL
Your AI Agents do not need more DBMS-specific wiring for ODBC-only databases to function as a source of record that delivers rich context. Start with our high-performance, secure (ABAC) multi-tier JDBC-to-ODBC Bridge.
uda.openlinksw.com/odbc/driv…#JDBC#ODBC
Your AI Agents do not need more DBMS-specific wiring for ODBC data sources to function as a source of record that delivers rich context. Start with our high-performance, secure (ABAC) multi-tier ODBC-to-ODBC Bridge.
uda.openlinksw.com/odbc/driv…#ODBC
Your AI Agents do not need more DBMS-specific wiring for your Ingres databases to function as a source of record that delivers rich context. Start with our high-performance, cross-platform single-tier ODBC Driver for Ingres.
uda.openlinksw.com/odbc/driv…#ODBC#Ingres
Your AI Agents do not need more DBMS-specific wiring for Progress to function as a source of record that delivers rich context. Start with our high-performance, secure (attribute-based access controls) multi-tier ODBC Driver for Progress.
uda.openlinksw.com/odbc/driv…#ODBC#Progress
Your AI Agents should not rediscover what an invoice “means” in a folder tree every run.
Shared labels and rules — hasInvoice, relatesToEmail — make meaning machine-computable across Data Spaces.
#SemanticWeb#KnowledgeGraph#AIAgents#LinkedData#Ontology
Your AI Agents do not need more DBMS-specific wiring for your Progress databases to function as a source of record that delivers rich context. Start with our high-performance, cross-platform single-tier ODBC Driver for Progress.
uda.openlinksw.com/odbc/driv…#ODBC#Progress
Your AI Agents do not need more DBMS-specific wiring for your Sybase databases to function as a source of record that delivers rich context. Start with our high-performance, cross-platform single-tier ODBC Driver for Sybase.
uda.openlinksw.com/odbc/driv…#ODBC#Sybase
Your AI Agent sees the same customer across CRM, ERP, and helpdesk.
Three local IDs. One customer. Why make it guess?
A machine-computable equivalence — inverse functionality or owl:sameAs on IDs — is all you need.
Three records, one graph history — without proprietary glue.
Your AI Agents do not need more DBMS-specific wiring for Informix to function as a source of record that delivers rich context. Start with our high-performance, secure (attribute-based access controls) multi-tier ODBC Driver for Informix.
uda.openlinksw.com/odbc/driv…#ODBC#Informix
Your AI Agent needs supply-chain risk hidden across Data Spaces.
Why hard-code every relationship traversal?
With RDF inference and SPARQL, declare owns as transitive: if A owns B and B owns C, infer A owns C.
One declarative query. Reasoning without proprietary plumbing.
Your AI Agents do not need more DBMS-specific wiring for your DB2 databases to function as a source of record that delivers rich context. Start with our high-performance, cross-platform single-tier ODBC Driver for DB2.
uda.openlinksw.com/odbc/driv…#ODBC#DB2
Your AI Agent needs relationships your database never stored.
Why bury meaning in application code?
An ontology makes semantics machine-computable. Mark sibling transitive: Alice–Bob plus Bob–Charlie imply Alice–Charlie.
No new typing. Semantics as reusable infrastructure.
Your AI Agents do not need more DBMS-specific wiring for MySQL to function as a source of record that delivers rich context. Start with our high-performance, secure (attribute-based access controls) multi-tier JDBC Driver for MySQL.
uda.openlinksw.com/odbc/driv…#JDBC#MySQL
Your AI Agent needs analytical data from a warehouse.
Why hardwire it to a proprietary interface?
With XMLA, it sends SQL or SPASQL over a standardized HTTP protocol and gets the result.
Open protocols replace app-specific plumbing. That's loose coupling in the age of AI.
Your AI Agent needs to connect facts scattered across the Web.
Why trap it behind local IDs?
Linked Data names entities and relationships with resolvable HTTP identifiers. RDF makes those relationships machine-computable.
One Agent. Multiple Data Spaces. One Web.
Your AI Agent needs to update an invoice on a server.
Why teach it to click buttons?
With WebDAV, it simply issues an HTTP PUT using a standardized filesystem interface.
No screen scraping. No fake mouse clicks. No GUI moat.
AI Agents speak protocols. Let them.