Foundational concepts that explain our approach, perspective, and the ideas behind what we build.
AI is trustworthy when it shows reasoning and allows human verification.
AI fails when it misses company-specific terms, logic, and relationships.
AI copilots assist tasks but lack context and reasoning for real decisions.
Ontologies reason with rules, graphs store facts, embeddings find similarity.
An AI analyst reads data, preserves context, and explains why metrics change.
Context-aware AI understands what data means in your business, not just the numbers.
Decision AI explains why outcomes change and what to do next, not just what happened.
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