Triuna LabsDiscuss your projectCase and fraud systems
Multi-tenant case-management, fraud-scoring, graph analysis, search, and identity-analytics systems built for regulated government work.
Founder profile
Paul Woll.
Builder and architect.
Founder & Principal AI Solutions Architect at Triuna Labs
More than 30 years building across defense, enterprise software, SaaS, and applied AI. Paul turns research and difficult operating problems into production systems people can inspect, operate, and improve.
Work with Paul Career résumé30+ yearsEngineering across defense, enterprise platforms, consulting, and SaaS.
Research → productionWorking prototypes, secure architecture, and systems that survive real operations.
B.S. Computer ScienceUniversity of California, Santa Barbara.
Approach
Use models for judgment. Keep evidence visible.
Paul’s work starts with the real decision, handoff, or repeated task. Predictable work stays deterministic. Model assistance is bounded to questions where context and ambiguity matter, with confidence, provenance, and human review designed into the result.
Clients work with Paul directly from architecture through implementation. Triuna Labs provides the business and product foundation behind that work.
Selected systems
Research that becomes working software.
The through-line is practical architecture: compare approaches, build a real vertical slice, expose the tradeoffs, and productionize the parts that earn their place.
Document intelligence
Compared rules, browser models, BERT NER, document extraction, local models, classification, summarization, and PII detection on difficult documents.
Zero-trust processing
Designed isolated document-rendering and event-driven services that reduce exposure to untrusted uploads while preserving traceability and tenant boundaries.
Career résumé
Three decades of architecture and delivery.
Paul’s career spans defense systems, commercial software, global enterprise platforms, government modernization, fraud analytics, applied machine learning, and independent product work.
The best version is the interactive infographic itself: a JobFitIQ demonstration that turns a conventional résumé and target role into an evidence-backed experience people can understand quickly and inspect deeply.
Selected work
Open work you can inspect.
The strongest proof is a working artifact with visible limits. These projects show the method across releases, data quality, persistent project context, and technical research.
Triuna Labs Skills
Open, portable workflows for release confidence, CSV quality analysis, and coordination between active agent sessions.
Browse the skills ↗Living Prompt Contract
A governed-state specification and builder for maintaining accepted intent, constraints, findings, and corrections across substantial AI-assisted work.
Explore LPC ↗Evidence-backed articles
Technical work published with the code and data behind it, including reproducible research on routing work across compute and storage.
Read the research ↗Consulting
Bring the hard workflow.
If your team knows the outcome it needs but the architecture, AI boundary, or implementation path is still unclear, start with the problem.
Discuss your projectFor source and public work, visit Triuna Labs on GitHub ↗.