High Frequency Trading
Multi-Agent Market Making System
- Developing an AI agent for HFT. We are building and Training a custom model
- Developing an AI agent to optimally decide between make or take to capture the above alpha
- Developed an Generative AI Model to generate the distributions of Order Arrival to train the above two agents
- Developed a model for analyzing order book dynamics to predict short term price movements.
- Developed AI models to minimize adverse selection costs.
Equity Research
Automated Financial Statement Analysis Platform
- Built AI agent system analyzing 10-Ks, 10-Qs, and Financial statements for public companies
- Reduced analyst research time by 58% while improving coverage breadth by 100%
- Identified material accounting changes and red flags with 87% precision rate
- Generated comparable company analysis and valuation models in under 4 minutes per company
- Extracted and normalized 50+ financial metrics and sentiments per company with 96% accuracy vs manual review
- Aggregate Reports from different analyst and provide a single document to the Fund Manager with links to the original documents for the fund manager to zoom in.
Sentiment Analysis and News Intelligence System
- Generated actionable sentiment signals correlated with next-day returns (correlation coefficient 0.42)
- Identified breaking news impacting portfolio holdings average 12 minutes ahead of Bloomberg alerts
- Reduced false positive alerts by 73% compared to previous keyword-based system
- Provided natural language summaries and investment implications for 200+ daily events
Portfolio Allocation
- Developing an Agent to perform Portfolio Allocation based on Fund Managers conversing with the model
- Will share further details as the project evolves
Inventory Management
Predictive Demand Forecasting System
- Implemented AI agents forecasting demand 180 perishable good s for local retail chain
- Implemented a Gen AI model to model the demand elasticity of 180 instruments
- Decreased stockout incidents by 37% while simultaneously reducing overstock by 22%
- Adapted forecasts in real-time based on weather, promotions, and competitor pricing changes
- Generated automated replenishment orders for 89% of SKUs requiring zero human review
- Managed Inventory to optimal levels through dynamic pricing and routing
Dynamic Warehouse Optimization Platform
- Deployed AI agents optimizing picking routes, storage locations, and fulfillment strategies across 8 warehouses
- Improved picking efficiency by 44% reducing average order fulfillment time from 4.2 to 2.4 hours
- Reduced warehouse labor costs by $1.9M annually through optimized shift scheduling and task allocation
- Decreased damaged goods incidents by 56% through improved storage location algorithms
Insurance and HealthCare
Claims Processing System
- Built AI agent network processing 140,000 insurance claims monthly with 82% straight-through processing rate
- Reduced average claims processing time from 12 days to 2.3 days improving customer satisfaction scores by 38%
- Identified fraudulent claims with 93% accuracy saving $4.7M in fraudulent payouts annually
- Decreased claims adjuster workload by 61% allowing focus on complex cases requiring human judgment