Professor Mehran Sahami & Dogan Akcay
This page presents the computer science, AI education, and responsible technology perspective behind ACRAZO: building systems that structure knowledge, protect confidential workflows, and keep human judgment in the loop.
Why this background matters for private AI.
ACRAZO is positioned around practical execution: converting complex expert knowledge into private, usable, decision-ready systems.
Domain-aware AI
Private LLM workflows become useful when they understand the company’s documents, terminology, constraints, and decision templates.
Responsible private deployment
For confidential chemistry, technical service, sales, and strategy workflows, the data boundary matters as much as the intelligence layer.
Usable decision interfaces
ACRAZO is designed to convert expert reasoning into practical interfaces: evidence, assumptions, risk flags, options, and next steps.