Kai as a Service (KaaS)

Ratings Service

Whether it’s rating stocks to determine buy/sell signals, or ranking funds or fund managers to identify where to invest, we have developed research and machine learning processes that train models to rate or score investment opportunities, allowing you to be more confident with your investment decisions.

One example is K Score, an alpha signal for equities.

Pattern Recognition Service

On any given day, Kavout’s pattern recognition engine processes enormous amounts of market data, detecting recognizable patterns using deep learning engines such as convolutional neural networks (CNN).

Coupled with our price forecast engine, we enable customers to buy or sell equities with more confidence. Make the right decision at the right time maximizing return and minimizing downside risk.

Forecast Engine

Customers use Kavout’s forecast engine for its real-time short-term predicted distribution of asset prices supported by probability, confidence interval, expectation and more.

Kavout has built an ensemble of models such as Deep Neural Networks, Bayesian Computation that process high dimensional data to dynamically generate predictions for a wide array of asset types such as equities, commodity, indices, foreign exchange, cryptocurrencies and more.

Portfolio Design

Kavout’s dynamic multi-asset portfolios cover stocks and ETFs across sectors, regions and asset classes.

Our technology goes beyond traditional portfolio optimization by taking advantage of big and diverse data sets from multiple sources, and developing new machine learning and predictive algorithms to maximize performance.