Services
Overview
At Hall Research, we believe the strongest insights emerge when human expertise and advanced AI work together.
We blend expert analyst judgment with advanced ML and generative AI to deliver world-class oversight, validation, and documentation. Built for regulated environments, our work balances innovation with compliance, transparency, and accountable decision-making that clients can trust.
Governance & AI Policy
Governance & Policy
Policies that define how an organization governs and uses AI, combining public- or customer-facing policy statements with internal procedures that provide detailed, systematic guidance for day-to-day AI usage, consistent practices, and governance mechanisms across the organization.
Documentation Templates
Comprehensive templates for machine learning (ML) model documentation that catalog compliance information and technical specifications, ensuring modelers adhere to organizational policies, procedures, and best practices.
Impact Assessment Templates
Extensible templates for systematically assessing and documenting AI systems’ positive and negative impacts.
Technical Training
Customizable training across explainable AI, model validation and debugging, bias testing and remediation, and AI/ML security.
Assessment and Implementation
Independent Audit Reports
Objective third-party analysis of adherence to authoritative standards, e.g., NIST AI Risk Management Framework or ISO AI Standards.
Bias Testing and Remediation
Quantitative and qualitative testing and remediation for systemic, human cognitive, and statistical bias in system processes or outcomes, aligned with NIST, ISO, or applicable US or EU standards.
System Validation
Rigorous testing of model performance, robustness, reliability, and resilience, including model debugging and red-teaming approaches.
Technical Trainings
Customizable training across explainable AI models, model validation and debugging, bias testing and remediation, and AI/ML security.