Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Every event, from transactions to meetings, occurs at a specific moment or over a span of time, making it essential for successful investigations to grasp the sequence and connections of these events. KronoGraph stands out as the pioneering toolkit designed for scalable timeline visualizations that uncover trends within temporal data. Create engaging timeline tools that allow for the exploration of how events and relationships progress over time. Whether you're examining communication between two individuals or analyzing IT traffic across an entire enterprise, KronoGraph delivers a comprehensive and interactive representation of the information. The tool enables a seamless transition from a broad overview to detailed individual occurrences, enhancing the investigative process as it develops. Often, investigations hinge on pinpointing critical elements like a person, an event, or a connection. With the dynamic interface of KronoGraph, you can navigate through time, revealing anomalies and trends while zooming in on specific entities that elucidate the deeper narrative contained within your data. This capability not only simplifies complex analyses but also empowers users to draw insights that would otherwise remain obscured.
Description
Nixtla is a cutting-edge platform designed for time-series forecasting and anomaly detection, centered on its innovative model, TimeGPT, which is recognized as the first generative AI foundation model tailored for time-series information. This model has been trained on an extensive dataset comprising over 100 billion data points across various sectors, including retail, energy, finance, IoT, healthcare, weather, and web traffic, enabling it to make precise zero-shot predictions for numerous applications. Users can effortlessly generate forecasts or identify anomalies in their data with just a few lines of code through the provided Python SDK, even when dealing with irregular or sparse time series, and without the need to construct or train models from the ground up. TimeGPT also boasts advanced capabilities such as accommodating external factors (like events and pricing), enabling simultaneous forecasting of multiple time series, employing custom loss functions, conducting cross-validation, providing prediction intervals, and allowing fine-tuning on specific datasets. This versatility makes Nixtla an invaluable tool for professionals seeking to enhance their time-series analysis and forecasting accuracy.
API Access
Has API
Yes
API Access
Has API
No
Integrations
Amazon Web Services (AWS)
No
Databricks
No
Google Analytics
No
Google Cloud Platform
No
Google Sheets
No
Microsoft Azure
No
Microsoft Excel
No
Python
No
R
No
Snowflake
No
Integrations
Amazon Web Services (AWS)
Yes
Databricks
Yes
Google Analytics
Yes
Google Cloud Platform
Yes
Google Sheets
Yes
Microsoft Azure
Yes
Microsoft Excel
Yes
Python
Yes
R
Yes
Snowflake
Yes
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Pricing Details
Free
Free Trial
Yes
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
Cambridge Intelligence
Country
United Kingdom
Website
cambridge-intelligence.com/kronograph/
Vendor Details
Company Name
Nixtla
Founded
2021
Country
United States
Website
www.nixtla.io
Product Features
Product Features
Predictive Analytics
AI / Machine Learning
No
Benchmarking
No
Data Blending
No
Data Mining
No
Demand Forecasting
No
For Education
No
For Healthcare
No
Modeling & Simulation
No
Sentiment Analysis
No