Enterprise knowledge is fragmented across databases, documents, applications and teams. The same business concept can have different definitions across functions, while critical relationships, rules and context remain implicit or buried inside systems.
Traditional data integration connects information technically. Semantic & Context Engineering connects information conceptually, giving AI a shared understanding of what enterprise data means, how it relates, where it came from and when it should be used.
C5i helps organizations engineer this trusted context foundation so AI applications and agents can reason with greater relevance, consistency, traceability and confidence.
Combining deep semantic and knowledge engineering expertise with Semantic5i, our enterprise context platform, we help organizations accelerate ontology development, knowledge graph construction, contextualization and AI grounding.
Define what the business means.
Model concepts, terminology, classifications, relationships, and business rules using governed ontologies and vocabularies.
Create a shared language across data.
Map physical data structures to consistent business concepts, measures and definitions across systems and domains.
Connect what the business knows.
Represent entities, relationships, and evidence as connected knowledge that can be queried, explored and reasoned over.
Determine what matters for the task at hand.
Combine enterprise knowledge with history, real-time signals, user intent, permissions, rules, and situational context.
Deliver the right context to AI.
Retrieve connected, relevant, and attributable enterprise knowledge to ground LLMs, copilots and agents.
Keep enterprise meaning trusted as it evolves.
Maintain the quality, consistency, and relevance of enterprise knowledge over time.
Semantic & Context layers help business users answer increasingly complex questions and get more nuanced answers, thereby greatly improving impact and ROI from their data & Al investments.
The ability to see and analyze all the data entities, connections, and relationships makes it easier to analyze actions and improvise workflows.
A DSD knowledge graph would connect sales, revenue, labor, stock, obsolescence, market, geography, and other relevant factors, for instance.
Turn enterprise data into AI-led business advantage
More Trusted AI
Ground AI in governed enterprise knowledge, definitions, and evidence.
Consistent Business Meaning
Create shared definitions that work across teams, systems, analytics and AI.
Faster AI Deployment
Reuse semantic assets and context instead of rebuilding grounding for every use case.
Explainable AI
Trace AI outputs through underlying entities, relationships, rules and source evidence.
Reusable Enterprise Knowledge
Build enterprise knowledge once and reuse it across search, analytics, copilots and agents.
Strengthening Enterprise-wide AI Adoption
Search structured and unstructured enterprise knowledge intelligently.
Generate contextual, evidence-backed answers using knowledge graphs and LLMs.
Surface relationships, insights, and contextual recommendations from connected knowledge.
Enable AI agents to use enterprise context and tools to reliably execute multi-step workflows.
Accelerate business impact in domains with multiple, moving, and interlinked data points.
Leverage years of hands-on experience at Datavid (a C5i company) building enterprise ontologies, taxonomies, and knowledge graphs for complex information environments.
Bring together semantic engineers with data engineers, AI specialists, and domain consultants to address knowledge graphs as an integrated business and technology capability.
Work across Databricks, Snowflake, MarkLogic, Neo4j, GraphDB, AWS, Azure, GCP, and existing enterprise systems.
Use reusable patterns, automation, and engineering components to reduce time from discovery to production.
Design for security, governance, provenance, performance, and operational lifecycle from the start.
Connect semantic foundations to GraphRAG, GenAI applications and governed agentic workflows through C5i's wider AI ecosystem.
C5i (Datavid team) is helping our scientists identify concepts that are relevant to their research quickly and effectively, saving hundreds of hours of time and effort weekly.
C5i (Datavid team) has talented & very knowledgeable people with expertise in data, digital & AI problem solving. I like their flexibility & speed, friendly mannered team & ease of collaboration. Overall, I am very satisfied with their services.
Create a reusable semantic and contextual foundation for trusted AI, GraphRAG, and enterprise agents. Talk to a Semantic Engineering Expert
