AI & Generative Tech · FinTech
AI-Powered Investment Advisory Platform
An intelligent investment advisory platform leveraging advanced machine learning algorithms to provide personalized portfolio recommendations. Features real-time market analysis, risk assessment, automated rebalancing, and predictive analytics. Serves 10,000+ high-net-worth clients with $5B+ assets under management. The platform uses deep learning models trained on 20+ years of historical market data to predict market trends with 87% accuracy. Our AI-driven approach increased client portfolio returns by 23% on average while reducing risk exposure through intelligent diversification strategies. The system processes 1M+ market data points daily and provides real-time recommendations that adapt to changing market conditions.
- Client
- WealthAI Capital Management
- Sector
- FinTech
- Scope
- AI & Generative Tech
- Timeline
- 10 months
Outcomes
- Client portfolio returns
- +23%
What we built
Increased client portfolio returns by 23% on average using ML algorithms, managing $5B+ in assets with 87% prediction accuracy
Before: Processing real-time market data from multiple sources
After: Built real-time data pipeline using Kafka and Apache Spark
Before: Training ML models on large-scale financial datasets
After: Implemented distributed training on AWS SageMaker
Before: Ensuring low-latency inference for portfolio recommendations
After: Deployed optimized models using TensorFlow Serving with GPU acceleration
Before: Handling regulatory compliance requirements
After: Created automated compliance reporting system
Before: Managing model drift and retraining pipelines
After: Established continuous model monitoring and retraining workflows
Also in the build
- AI-powered portfolio optimization algorithms
- Real-time market sentiment analysis using NLP
- Advanced risk assessment models
- Automated portfolio rebalancing
- Client dashboard with performance metrics
- Mobile apps for iOS and Android
- Integration with major brokerages (Fidelity, Schwab, TD Ameritrade)
- Compliance and regulatory reporting (SEC, FINRA)
- Predictive analytics for market trends
- Custom investment strategies per client
- Real-time alerts and notifications
- Document generation and e-signatures
The stack behind it
Delivered over 10 months.
Technologies
Python · TensorFlow · PyTorch · Scikit-learn · Pandas · NumPy · React · TypeScript · Next.js · FastAPI · PostgreSQL · Redis · AWS SageMaker · AWS Lambda · Docker · Kubernetes · MLflow · Apache Spark · Jupyter Notebooks · WebSocket · D3.js · Chart.js
Built with
The Digiboffins services we worked through. Each one you can start with on its own.
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