Enterprise AI That Earns Trust
Building grounded systems through traceable architecture and the judgment layer. Architecting systems where reliability is a design requirement, not an afterthought.
Why Grounded AI Matters
Beyond Accuracy
Most AI systems optimize for accuracy alone. In enterprise contexts, the question isn't "is this correct?" but "how do you know?"
Source Architecture
Every classification links to source text, matched vocabulary, and the reasoning path. Accountability is built into the architecture.
The Judgment Layer
Accept, Uncertain, or Reject. Not every AI output deserves automatic acceptance. Uncertain cases route to human review with full context.
Featured Projects
View AllAmphigraph
Grounded Classification Engine
A 156-feature classification engine for industrial maintenance that links every AI decision to source data. Combines Datalog reasoning, LLM consensus, and knowledge graph validation.
Opsworth Work Order
Maintenance Intelligence Application
Production UI application built on Amphigraph featuring 5 persona-specific interfaces for Field Technicians, Planners, Reliability Engineers, Managers, and Data Stewards.
OpsWorth Doc
Engineering Document Intelligence
Computer vision + NLP pipeline for P&IDs, datasheets, and engineering specifications. Extracts structured data from legacy documents for EPC and operations.
The Three Layers
Our methodology creates a synergistic loop between machine efficiency and human intuition.
AI Task Layer
Automating repetitive patterns and processing vast datasets at scale.
Decision Layer
Applying evidence-based logic and contextual reasoning to derived insights.
Human Amplification
Subject matter experts refining and validating for collective wisdom.
Ready to Architect for Trust?
Let's discuss how grounded AI architecture can transform your enterprise operations.
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