Audience

Data analysts and companies wanting a tool offering forecasting and anomaly detection without building custom ML pipelines

About Nixtla

Nixtla is a platform for time-series forecasting and anomaly detection built around its flagship model TimeGPT, described as the first generative AI foundation model for time-series data. It was trained on over 100 billion data points spanning domains such as retail, energy, finance, IoT, healthcare, weather, web traffic, and more, allowing it to make accurate zero-shot predictions across a wide variety of use cases. With just a few lines of code (e.g., via their Python SDK), users can supply historical data and immediately generate forecasts or detect anomalies, even for irregular or sparse time series, and without needing to build or train models from scratch. TimeGPT supports advanced features like handling exogenous variables (e.g., events, prices), forecasting multiple time-series at once, custom loss functions, cross-validation, prediction intervals, and model fine-tuning on bespoke datasets.

Pricing

Starting Price:
Free
Free Version:
Free Version available.
Free Trial:
Free Trial available.

Integrations

Ratings/Reviews

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Company Information

Nixtla
Founded: 2021
United States
www.nixtla.io

Videos and Screen Captures

Nixtla Screenshot 1
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Product Details

Platforms Supported
Cloud
Training
Documentation
Live Online
Support
Online

Nixtla Frequently Asked Questions

Q: What kinds of users and organization types does Nixtla work with?
Q: What languages does Nixtla support in their product?
Q: What other applications or services does Nixtla integrate with?
Q: What type of training does Nixtla provide?
Q: Does Nixtla offer a free trial?
Q: How much does Nixtla cost?

Nixtla Product Features

Predictive Analytics

For Education Not Supported
For Healthcare Not Supported
Modeling & Simulation Not Supported
Data Blending Not Supported
Demand Forecasting Not Supported
Sentiment Analysis Not Supported
Data Mining Not Supported
AI / Machine Learning Not Supported
Benchmarking Not Supported