PI.EXCHANGE
Streamline creating machine learning models, and start making predictions from your data - no code required.
The Lowdown on
PI.EXCHANGE
PI.EXCHANGE's AI & Analytics Engine is a no-code machine learning platform that simplifies and accelerates getting predictions from your data. From marketers and analysts to data scientists and developers, the Engine helps more users easily leverage their data to train and use predictive models for make smart real-time decisions.
Features
- It features pre-built ML Solution templates, that are great for business users. And a build-it-yourself flow, for more customization across regression, classification, and clustering problems.
- The Engine has great data-wrangling and visualization features to understand your data; feature set and model recommendations for the optimal model setup.
- Explainability features including what-if analysis, and feature importance analysis help you dig deeper into why the model behaves as it does.
- Predictions are easy to consume - exportable as a file or easily routed to, or integrated with web apps, visualization tools, databases, or existing systems.
Whether you are building a small pilot project with no dedicated data science resources, or are deploying large-scale enterprise ML systems, you can equip your existing team to overcome the common barriers to building and deriving value from AI with the Engine.
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PI.EXCHANGE
Pricing options for
PI.EXCHANGE
$
Enterprise
- Custom # users
- Custom # projects
- Custom data size limit per import
- Custom processed data per month
- Custom dataset storage limit
- Custom # of open data recipes
- Custom # of models in training
- Custom # of active deployed models
- Custom # of predictions per month
$
39
Starter
- 1 user
- 1 project
- 50MB data size limit per import
- 500MB processed data per month
- 5GB dataset storage limit
- 1 open data recipe
- 2 models in training
- 2 active deployed models
- 100,000 predictions per month
$
129
Individual
- 1 user
- 1 project
- 500MB data size limit per import
- 15GB processed data per month
- 100GB dataset storage limit
- 2 open data recipes
- 2 models in training
- 2 active deployed models
- 500,000 predictions per month
$
499
Team
- 4 users
- 4 projects
- 500MB data size limit per import
- 50GB processed data per month
- 250GB dataset storage limit
- 5 open data recipes
- 5 models in training
- 5 active deployed models
- 2,000,000 predictions per month