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Tangent AI

A predictive analytics platform that automates time-series forecasting and anomaly detection, enabling rapid, scalable, and precise insights integrated seamlessly into cloud data pipelines.

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Product Overview

What is Tangent AI?

Tangent AI preview

Tangent AI is a cutting-edge platform designed to streamline the creation and operationalization of predictive models for time-series data. It automatically engineers features, builds, and updates models in real time, significantly accelerating forecasting and anomaly detection tasks. Optimized for cloud environments like Azure and AWS, Tangent supports scalable deployment and integration with existing data infrastructures. It empowers data scientists, ML engineers, and business users to leverage predictive insights with minimal manual effort, boosting productivity and enabling data-driven decision-making across industries such as banking, energy, utilities, and manufacturing.


Key Features

  • Automated Feature Engineering

    Instantly generates and selects relevant features from time-series data, reducing manual preprocessing efforts.

  • Real-Time Model Building and Updating

    Continuously rebuilds and adapts predictive models as data evolves, ensuring accuracy and relevance.

  • Seamless Cloud Integration

    Supports flexible deployment on major cloud platforms with easy API and connector integration for smooth data pipeline incorporation.

  • Scalable and Efficient AI Pipelines

    Optimized for minimal computing resources while handling large-scale data, enabling infinite scaling.

  • Wide Industry Applicability

    Supports diverse forecasting and anomaly detection use cases across sectors like finance, energy, automotive, and utilities.


Use Cases

  • Financial Forecasting and Risk Management : Enables banks and financial institutions to optimize marketing, customer engagement, and risk modeling through accurate predictive analytics.
  • Energy Consumption and Grid Optimization : Facilitates precise load forecasting and energy trading strategies to improve resource allocation and cost savings.
  • Supply Chain and Inventory Forecasting : Helps businesses predict demand, optimize production schedules, and manage raw material pricing effectively.
  • Anomaly Detection for Operational Efficiency : Automatically detects irregularities in data streams to prevent waste and reduce operational costs.

FAQs

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