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Forecast data based on any time frame set, hourly, daily, weekly, monthly or yearly
Accurate forecasting even with missing data points with no code change or data training
Your own personal data scientist powered by state-of-the-art AI at the fraction of the cost
Forecast data on millions of data points in seconds with our globally distributed scalable prediction engine
Access to the latest data on the internet with regular retraining of our model to ensure the most accurate predictions
With one API you can control how far into the future you want to forecast and get results in seconds
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npm i jigsawstack
5 ways our customers use JigsawStack's AI Prediction to build applications
Forecast internal sales numbers to make better business decisions
Automate business pipelines based on real time predictions on your data by the second
Broken or missing data points can easily be predicted with generative AI with high accuracy while maintaining number patterns
Predict web analytics for new products and features based on million of previous analytics data
Simulate test marketing campaigns on the fly to know what works and what doesn't
All models have been trained from the ground up to response in a consistent structure on every run
Serverlessly run BILLIONS of models concurrently in less than 200ms and only pay for what you use
Purpose-built models trained for specific tasks, delivering state-of-the-art quality and performance
Fully typed SDKs, clear documentation, and copy-pastable code snippets for seamless integration into any codebase
Real-time logs and analytics. Debug errors, track users, location maps, sessions, countries, IPs and 30+ data points
Secure and private instance for your data. Fine grained access control on API keys.
Global support for over 160+ languages across all models
We collect training data from all around the world to ensure our models are as accurate no matter the locality or niche context
90+ global GPUs to ensure the fastest inference times all the time
Automatic smart caching to lower cost and improve latency