Curve & Compass Analytics provides regulatory analytics consulting for insurance carriers, health plans, financial services firms, and public sector organizations navigating compliance requirements, data-driven decision-making, and the evolving landscape of AI governance and algorithmic accountability.
What We Do
Regulators are no longer asking whether your organization uses AI. They are asking how it was built, how it was validated, and whether it produces outcomes that are fair, explainable, and defensible. At the same time, the foundational work of regulatory analytics — rate analysis, statistical modeling, data infrastructure, and quantitative research — remains as consequential as ever.
Curve & Compass Analytics brings direct regulatory experience to both challenges. We have built the frameworks regulators use to evaluate AI/ML systems, and we have spent years doing the applied quantitative work that underpins sound regulatory practice. We know what survives scrutiny because we have been on the other side of it.
Who We Serve
— Insurance carriers operating in multi-state regulatory environments
— Medicare Advantage and managed care organizations facing CMS algorithmic scrutiny
— Financial services firms navigating federal AI governance expectations
— Public sector agencies deploying AI in program administration
— Organizations preparing for regulatory examination or responding to inquiry
— Regulated entities needing applied analytics, modeling, or quantitative research support
What We Deliver
AI/ML Model Governance and Compliance We help organizations build the internal infrastructure regulators expect: model inventories, risk-tiering protocols, validation standards, change management documentation, and third-party vendor oversight structures. We design for auditability from the start, not as an afterthought.
Pre-Submission and Pre-Examination Review Before a filing reaches a regulator's desk — or before an examiner arrives — we conduct an independent technical review of your AI/ML systems and documentation. We identify gaps that create regulatory exposure and help you close them on your timeline, not the regulator's.
Proxy Discrimination and Fairness Assessment Regulators and plaintiffs' attorneys are increasingly focused on whether AI models produce discriminatory outcomes through indirect means. We apply rigorous statistical frameworks to identify proxy discrimination risk, quantify disparate impact, and evaluate whether observed disparities are legally and actuarially defensible.
Regulatory Change Monitoring and Advisory AI governance requirements are evolving rapidly at the state and federal level. We provide ongoing advisory support to help organizations interpret new guidance operationally — translating regulatory developments into concrete compliance actions rather than abstract risk assessments.
General Regulatory Analytics and Data Science Not every regulatory analytics need involves AI governance. We support regulated entities across a broader range of applied analytics work — statistical modeling, data infrastructure assessment, quantitative research, reporting system design, and analytical capacity building. If the work requires rigorous quantitative methods in a regulated environment, we can help.
Data Governance and Infrastructure Assessment Many regulatory compliance problems are data quality and governance problems at their foundation. We assess data pipelines, lineage documentation, and governance structures to identify upstream risks before they become downstream examination findings.
Our Perspective
Most analytics consulting in regulated industries is performed by generalists who have read the guidance. We have built the equivalent of that guidance from the inside — developing model review protocols, proxy discrimination detection frameworks, and regulatory evaluation methodology deployed in active practice. That practitioner perspective is not something that can be replicated from the outside. It shapes how we approach every engagement, whether the work involves cutting-edge AI governance or foundational quantitative analysis.
Engagement Process
Initial consultation (no charge) — we assess your regulatory exposure and identify priorities
Scope and conflict screening — all engagements are reviewed for conflicts prior to execution
Engagement agreement — standard terms with clear deliverable definitions
Analysis, documentation, and advisory delivery
Ongoing retainer arrangements available for organizations requiring continuous support
Hourly rates, project pricing, and retainer structures provided upon inquiry.