Maclear Data Solutions
Practical data and AI for finance
From readiness assessments and strategy to implementation, governance, and ongoing support — Maclear delivers right-sized, compliant solutions built for real operating environments.
✓ Built for regulated financial environments ✓ Specialized in small and mid-sized institutions ✓ Transparent scope and pricing ✓ Governance built into every engagement ✓ Founder-led expertise
What We Do
From assessment to execution — and beyond
Maclear’s engagement model follows where your institution is in its data and AI journey — from understanding your current state to building production-ready solutions and sustaining them over time.
Assess & Prioritize
Understand where you are, what matters most, and what to do next. Self-assessments, data and AI maturity reviews, strategy development, and use-case prioritization.
Build & Implement
Turn plans into working solutions. Data engineering, machine learning model development, AI system design — built to perform in regulated, real-world environments, not just on paper.
Govern & Sustain
Keep solutions reliable, controlled, and useful over time. Model risk management, independent model validation, governance design, monitoring, and ongoing support.
How We Work
A clear path from complexity to execution
Every engagement follows a structured process designed to reduce ambiguity, build institutional confidence, and deliver outcomes that hold up in practice.
Our working principles
Who We Serve
Built for smaller and mid-sized financial institutions
Maclear specializes in institutions that need practical, right-sized solutions — not enterprise-scale products built for balance sheets many times their size.
Banks
Modernize reporting, risk modeling, and data infrastructure without building a large internal team. Analytics and AI scaled to your operating reality and regulatory obligations.
Credit Unions
Improve operational efficiency and decision quality through practical analytics adoption — accessible capabilities without enterprise-level investment.
Insurers
Support underwriting accuracy and risk quantification with sound governance and validation — designed for regulated environments and actuarial discipline.
Fintechs
Build durable data and AI foundations while managing technical debt and regulatory risk — without sacrificing speed or compliance posture.
Regulatory Bodies
Improve analytical insight and supervisory consistency through better data platforms and governance-forward analytics capabilities.
Proof of Work
Real outcomes from real engagements
From AML control assessment to expense anomaly detection and data infrastructure modernization — delivered across financial institutions, government agencies, and regulated entities.
AML Control Assessment — Global Bank
Uncovered structural weaknesses in AML controls through data quality review, network analysis, and behavioral profiling. Delivered prioritized remediation roadmap and audit-ready findings.
Expense Anomaly Detection — Government Agency
Built division spending profiles, clustering models, and anomaly scoring to uncover hidden spending leaks. Freed analyst capacity and delivered targeted cost-saving opportunities.
Risk-Based Audit Planning — Major Canadian Bank
Designed an intelligent planning model for retail branch audits using feature engineering, dimensionality reduction, and geospatial dashboards. Improved audit targeting and transparency.
Your Next Step
Find your next best step in data and AI
Not every institution is at the same stage. Whether you’re exploring options or ready to build, Maclear can help you find the right starting point.