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What is Nixtla?

Nixtla is a state-of-the-art platform focused on time-series forecasting and anomaly detection, featuring its groundbreaking model, TimeGPT, which is heralded as the first generative AI foundation model specifically designed for time-series data. Trained on a vast dataset that encompasses over 100 billion data points from various industries, including retail, energy, finance, IoT, healthcare, weather, and web traffic, this model is adept at making accurate zero-shot predictions across a multitude of scenarios. With the help of the Python SDK, users can easily create forecasts or pinpoint anomalies in their datasets using only a few lines of code, even when faced with irregular or sparse time series, eliminating the necessity to build or train models from scratch. Furthermore, TimeGPT is equipped with sophisticated features such as the integration of external influences (like events and pricing), the ability to forecast multiple time series concurrently, the use of custom loss functions, cross-validation capabilities, the provision of prediction intervals, and the option to fine-tune on tailored datasets. This remarkable flexibility positions Nixtla as an essential resource for professionals aiming to elevate their time-series analysis and improve forecasting precision, ultimately facilitating more informed decision-making in their respective fields. Additionally, the platform continuously evolves to incorporate the latest advancements in AI, ensuring that users remain at the forefront of time-series analysis technology.

What is LotusEye?

LotusEye provides a cloud-based solution for detecting anomalies through AI, automatically learning typical behavior from numerical or sensor data uploaded in CSV format, while continuously generating anomaly scores to pinpoint irregularities that may indicate faults or unexpected events, all without requiring users to possess machine learning knowledge. The platform supports both wide-format CSV files, where each row represents sensor readings at distinct timestamps, and long-format CSV files that contain columns for timestamps, sensor names, and values. Users can easily upload their data using an intuitive drag-and-drop interface or through an API that facilitates automated processing on a predetermined schedule. After training an AI model with data from standard operations, users can submit test data to receive calculated anomaly scores and visualize the outcomes on dashboards equipped with time-series charts, threshold indicators, and filtering capabilities. This functionality aids teams in quickly recognizing unusual patterns and investigating potential issues, ultimately boosting operational efficiency. By transforming raw data into actionable insights, the platform empowers organizations to make informed decisions based on real-time analytics.

Media

Media

Integrations Supported

Google Sheets
Microsoft Excel
Amazon Web Services (AWS)
Databricks Data Intelligence Platform
Google Analytics
Google Cloud Platform
Microsoft Azure
Python
R
Snowflake

Integrations Supported

Google Sheets
Microsoft Excel
Amazon Web Services (AWS)
Databricks Data Intelligence Platform
Google Analytics
Google Cloud Platform
Microsoft Azure
Python
R
Snowflake

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

$13 per month
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Nixtla

Date Founded

2021

Company Location

United States

Company Website

www.nixtla.io

Company Facts

Organization Name

LotusEye

Company Location

Japan

Company Website

lotuseye.co.jp/

Categories and Features

Predictive Analytics

AI / Machine Learning
Benchmarking
Data Blending
Data Mining
Demand Forecasting
For Education
For Healthcare
Modeling & Simulation
Sentiment Analysis

Categories and Features

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