
Bradford Stanley, CFA, serves as Chief Investment and Chief Technology Officer of The Stanley-Laman Group, which he joined in 2003. In this role, Brad directs the firm's investment strategy and oversees the architecture and development of its proprietary analytical and artificial intelligence platforms.
Brad is the creator and architect of the firm's proprietary Ad-Star® System, an analytical framework that evaluates publicly traded companies through comprehensive fundamental and forensic analysis of over ten thousand historical financial metrics, ratios, and proprietary algorithms. Ad-Star® enables rapid assessment of earnings quality, financial health, and operating history across large investment universes, systematically identifying companies that meet the firm's fundamental standards and filtering those that do not.
Since 2024, Brad has led the firm's artificial intelligence integration, designing two core systems that form its analytical infrastructure. The Fusion Engine™ orchestrates concurrent analysis across 10+ frontier AI models in an adversarial cross-validation framework, delivering research of the depth typically associated with large institutional teams. Zygent AI™ — the firm's agentic workforce system — conducts autonomous deep research, strategic analysis, and complex analytical workflows while building and maintaining the quantitative infrastructure underlying the investment process, from backtesting engines and portfolio optimization to proprietary data pipelines. Both systems operate under strict human oversight with built-in safeguards at every level.
Brad is a CFA Charterholder, having earned the designation in 2009 after passing all three examinations on the first attempt. He is a member of the American Finance Association and the CFA Society of Philadelphia.
Brad earned his Bachelor of Science in Computer Science from Carnegie Mellon University in 2003, with a minor in Cognitive Psychology. He was awarded the Carnegie Mellon Senior Leadership Award. His dual background in computer science and quantitative finance equips him to integrate advanced technology with rigorous investment discipline.