AI PaaS for Financial Services
Asset Management, Wealth Management, Lenders, Payments Processors, Investment Banks & Insurance Companies
Zeblok Computational’s accelerated AI Platform-as-a-Service for is uniquely suited to AI/ML development in financial services, providing everything that your team needs to develop, deploy and manage AI applications, transforming AI projects into real-world business solutions. Powered by curated proven, original algorithms, with deployment available in the cloud, on-premises or in Zeblok's private micro cloud, Zeblok can help you ingest and evaluate the value of data more efficiently, to integrate AI:
Within mission-critical processes
Into your proprietary research platform, financial modeling and valuation methodology
To make more informed decisions
To differentiate and personalize product offerings
Bring to life your most challenging data-driven strategies.
How AI/ML Can Help Financial Services Companies:
There are multiple areas ripe for data-driven initiatives within the categories of revenue growth, cost reduction, operational improvement, risk management and compliance.
Increasingly personalized service can have an impact on customer retention, enhancing top line growth. AI/ML models can help reduce customer churn, with product recommendations & personalization.
Process improvement and automation can help decrease costs. AI/ML models help to get faster insights into data, helping anomaly detection and automation to reduce costs.
Reducing risk from numerous sources is an ongoing challenge. AI/ML models can help to accurately point to issues related to anti-money laundering (AML), and Know your customers (KYC). Purpose built models can provide transparency in credit risk & loss forecasting, detect anomalous behavior and prevent cyber attacks.
The financial services industry regulatory landscape is very complex and everyone needs to abide by it. From Basel III for capital and liquidity to the Dodd Frank Act for derivatives, from FATCA for market integrity to DFA Volker Rule for trading, the list of regulations is every growing. AI/ML models can help financial institutions to identify those rules that apply to them and how best to structure compliance protocols.
Platform Offerings Include:
AI-WorkStation: Start in minutes via a simple web browser user interface, with familiar open source AI/ML frameworks. Our proprietary orchestration engine provides a single unified environment, including AI algorithms, accelerated data lake and AI-HPC. Whether you are using AI to identify new sources of alpha, manage risk exposure or uncover hidden relationships between factors that drive investment performance, the AI-WorkStation scales seamlessly and is designed from the ground up for collaboration.
Intelligence Marketplace: Growing library of curated AI algorithms, allowing for advanced analysis, including:
Zeblok AI-Rover™: Analytics and data visualization software, based on an exclusive Explainable AI algorithm’s three linked modules, to optimize outcomes and corroborate important decisions.
Sentiment Analysis: Zeblok’s AI-Rover™ and MarketPsych Indices from Refinitiv identify the impact of market sentiment that can easily be incorporated into your analysis and decision processes.
Data Lake: High-performance data store that allows you to import, filter, and instantly analyze objects, using accelerated SQL. Integrate live data feeds and other external data sources, with in-house data.
AI Expertise: Zeblok provides quantitative and fundamental research teams the talent and resources required to build or enhance AI-driven investment decision processes quickly and easily, without having to write any code of their own.
Multiple Deployment Options: We can bring our platform to your current on-premises infrastructure and data or to your cloud provider network. Or use Zeblok’s superior (performance, time and cost efficiency) private multi-cloud – smart sourced GPU/CPU compute, connectivity, networking and storage, while adhering to the strictest of compliance standards.