Applied research studio led by Gary Duma. We build agentic GenAI workflows, quant signals for trading/portfolio optimization, and pragmatic AI strategy for regulated financial environments.
ContactRAG + multi-agent orchestration, evaluation/guardrails, and retrieval pipelines tuned for financial data.
Deep learning & signal processing for equities/FX; feature engineering and live inference pipelines.
GenAI/MLOps roadmaps, compliance-aware design, and cost/performance optimization.
Prototypes & papers coming soon: agentic onboarding, hybrid financial embeddings, cross-asset alpha signals.