Research & Readiness Assessment
Identify where symbol grounding could support your business. We review your use cases, information sources, and existing workflows to define a focused research or development opportunity.
Engagement focus: feasibility assessment, knowledge gaps, and a pilot roadmap.
Domain Vocabulary & Semantic Modeling
Create consistent definitions for the concepts that matter to your organization. We map terminology, relationships, and context to help people and systems interpret information more consistently.
Engagement focus: domain vocabulary, concept maps, and structured knowledge schemas.
Document-to-Knowledge Pilots
Explore how documents can become structured, source-linked information. We develop pilots that extract claims and relationships while identifying ambiguity and missing information for review.
Engagement focus: extraction prototypes, source traceability, and quality evaluation.
Knowledge Graph Prototyping
Connect information across documents and data sources in a queryable knowledge model. We investigate ways to preserve the origin, context, and relationships of claims so users can examine the evidence behind an answer.
Engagement focus: knowledge graph design, integration prototypes, and evidence retrieval.
AI Governance & Decision Traceability
Explore how explicit rules and review points can guide AI-assisted workflows. We prototype approaches for recording decision steps, handling uncertainty, and routing exceptions to human reviewers.
Engagement focus: rule modeling, approval workflows, and decision-trace evaluation.
Research with a Practical Purpose
Our goal is to help organizations connect AI capabilities with knowledge they can understand, question, and maintain. Our SGF work remains research-led, and we evaluate capabilities and deployment readiness for each use case.
Let’s Explore Your Use Case
Do you have documents, specialized terminology, or an AI workflow that needs clearer evidence and rules? Talk with DataAffect about a focused Symbol Grounding Framework engagement.
