We build Artificial Intelligence models for financial analysis and autonomous trading by applying advanced ML algorithms in a SaaS cloud environment. Predictiva combines innovative technical capabilities with the financial industry expertise.
Supported by a team of Data Scientists and AI Researchers, our platforms help financial traders & investment managers to trade multiple financial assets using state-of-the-art Machine Learning algorithms while avoiding human emotional-bias.
We always advocate for creativity and inventiveness across our entire team and create a fun and creative atmosphere for all our team members.
Our AI models are based on our quality academic research in cooperation with some of the top world universities for using Artificial Intelligence and Machine Learning to predict operational and financial performance drivers and factors.
AI implementation usually requires high upfront acquisition costs, hiring highly skilled teams, and investing in datacentres, storage, networks, and other capital and operational expenditures.
Depending on traditional human monitor and control is becoming increasingly difficult. Human interactions are no longer autonomous or even always possible in these unprecedented times.
There is a need to depend more on efficient autonomous self-driven systems that can run with limited direct human supervision and intervention.
We use the latest AI Deep Learning and Reinforcement Learning technologies to achieve predictive financial analytics; leveraging the cloud to provide an enterprise-scale yet easy to use platform which automates the analysis and detection of financial trends.
This gives you accurate insights and hands-off intelligence with proven results, without requiring in-house IT expertise or continuous human monitoring, and emotions.
We focus on Advanced AI modelling using Deep Learning and Reinforcement Learning to develop fully autonomous solutions
Our AI autonomous trading platform, Investiva, focuses on the following.
For more information about Investiva, please check the product page.
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