We engineer custom quantitative models, systematic signal engines, and automated analysis tools across commodity, FX, and index markets. Our work supports disciplined, research-backed trading workflows for individuals and small firms.

We deliver structured market research, signal summaries, volatility regime analysis, and macro-structural insights. Our outputs translate complex quantitative data into clear, actionable information.

We develop lightweight, research-driven cybersecurity frameworks for small businesses, including secure operational workflows, risk-mitigation procedures, and threat-aware infrastructure guidance.We investigate vulnerabilities in AI systems, from data poisoning to adversarial manipulation. Our work integrates defensive architectures that ensure model provenance, verifiability, and ethical compliance.

We analyze emerging regulations, market-structure changes, and compliance trends affecting digital assets, data security, and algorithmic workflows. Our research helps clients anticipate and adapt to evolving regulatory environments.

We assist clients in integrating ML-driven models, automating analytical pipelines, and incorporating data science methodologies into existing workflows, ensuring clarity, reliability, and proper documentation for ethical implementation.

We architect and protect intellectual property developed in-house and for collaborative ventures. Our IP portfolio will form the foundation for technology licensing across the Sorellian ecosystem and its subsidiaries.