In today’s competitive financial landscape, gaining actionable insights from your data quickly and efficiently is essential. Tangent AI is your all-in-one, no-code platform designed to transform every function within a bank. From marketing and customer engagement to risk management and operations, Tangent AI simplifies machine learning, empowering you to make smarter decisions faster.
Tangent AI is an end-to-end machine learning platform that automates
Data Cleansing and Feature Generation: Ensure high-quality data for analysis without manual intervention.
Model Selection and Optimization: Automatically choose and fine-tune the best algorithms tailored to your needs.
Deployment and Monitoring: Deploy ML models seamlessly, ensuring continuous feedback and improvement.
Our no-code platform democratizes AI adoption, making advanced analytics accessible across marketing, operations, risk, and customer management functions.
Leverage pre-configured data points and AI models tailored for financial services, ensuring faster insights and accuracy.
Empower every department to optimize campaigns and customer engagement, enhance risk modeling and compliance, streamline operational processes, and much more
Integrates with your existing data sources and systems, ensuring minimal disruption during adoption.
Ready-to-use data models tailored to the financial industry for faster deployment.
Seamlessly ingest and map data from multiple sources with minimal effort.
Leverage generative AI to create meaningful data features automatically.
Streamline the entire AI process, from data preparation to deployment.
Identify behavior patterns, preferences, and demographics to deliver hyper-personalized campaigns.
Predict customers likely to purchase additional products, such as loans, credit cards, or investment options.
Use data-driven insights to focus on high-value prospects, improving conversion rates.
Deliver tailored customer journeys that enhance engagement and lifetime value.
Identify suspicious activity patterns in real-time using machine learning algorithms trained on banking data.
Analyze customer profiles to predict default risks and tailor lending decisions.
Automate processes like suspicious activity reporting (SAR) and document validation, ensuring compliance with minimal effort.
Automate repetitive processes, such as document vetting, invoice validation, and report filing, to reduce operational overhead.
Provide data-driven recommendations for critical business decisions.
Streamline the machine learning pipeline to deliver actionable insights faster.
Uncover trends and opportunities using predictive analytics across customer and operational data.
Use insights to design innovative financial products that cater to evolving customer needs.
Leverage data intelligence to assess opportunities and risks in investment portfolios.