ATS ReLab develops AI-powered solutions for the banking and capital markets industries. Their products aim to improve efficiency and create business value through the application of artificial intelligence.
Funding
Funding not disclosed
Founders
Product
Problem
Financial intermediaries in the capital markets face increasing pressure to optimize decision-making and investment strategies in a rapidly evolving landscape. Extracting meaningful insights from vast datasets and adapting to market dynamics requires advanced analytical capabilities that traditional methods often lack.
Solution
ATS ReLab provides AI-powered solutions designed to enhance the competitiveness of financial intermediaries by giving meaning to data. The company offers consulting services to guide the adoption of AI, along with a specialized platform for creating AI-driven solutions. This platform facilitates data input, normalization, and the application of AI models to support strategic decision-making and the creation of high-performing investment strategies. ATS ReLab also delivers synthetic indicators and forecasting tools to improve wealth management and investment outcomes.
Target Audience
The primary target audience includes financial intermediaries such as wealth managers, investment firms, and capital market participants seeking to leverage AI to improve their decision-making processes and investment performance.
Features
- AI Consulting: Guidance for financial intermediaries in adopting AI methodologies.
- Tailored Intelligent Learning System: A multifunctional platform for creating AI solutions in financial markets.
- Data Normalization: Automated data cleaning and normalization based on selected model classes.
- Market Indicator System (MIS): Predictive indicators of financial instrument performance.
- Magnifier Curve System (MCS): Intraday predictive indicator charting prospective price and volume curves.
- Summary Indicators: AI-driven metrics for data understanding and analysis in wealth management.
- Custom Indicators: Development of bespoke indicators based on client needs and specific analysis requirements.
- Portfolio Generation: AI-driven generation of model portfolios with optimized asset allocation.