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Innocuous Book is a DevOps platform that integrates natively with other open and non-open source MLOps and AutoML solutions on the market including popular software packages, libraries, and any data engineering ETL pipeline.
Developing using Innocuous Book feels like I'm working on my own computer even though I'm on the cloud. It enables me to work faster and more comfortably. It's easy to use with minimal setup, integrates seamlessly with cloud storage, and allows me to spin up ML experiments quickly and efficiently.
Our DevOps Engineers were exceedingly busy and this platform enabled our data science team to be self-reliant and more productive.
The advantage of Innocuous AI is that it integrates with any framework, language, or tool that I can think of using.
Shorten time-to-value for your company's AI investment
Improve employee satisfaction & retention and make recruiting easier by widening your hiring pool of data scientists with domain knowledge as they no longer need to have IT or DevOps experience
Use any type of data source and integrate with any data engineering or other best-in-class platform that suits your ever-changing needs
Leapfrog over your competition by getting models to production faster and maintain them seamlessly with automated continuous learning
Save on payroll with a smaller AI team and built-in optimization of cloud compute costs to yield a better ROI faster
Companies invest in AI to provide better products and service experiences for your customers, and improve customer acquisition & retention in order to drive revenue
Build production cloud infrastructure but with the feel and ease of working on your local desktop
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Remote develop with our cloud-based VScode IDE and/or Jupyter Lab notebooks that come pre-configured and easily customizable to your backend software and hardware needs. This enables any data scientist, software engineer or algorithms expert to begin developing and debugging immediately and interactively on the same cloud infrastructure used for production pipelines and work flows. Allowing for very little onboarding time investment, this opens up opportunities for you to hire top talent with domain expertise but little cloud-based, DevOps and backend infrastructure expertise.
The most comprehensive experimentation and hyper parameter search UI on the market with extra functionality around development and debugging. More hyper parameter search algorithms are implemented than any other platform. And best of all, not invasive to your scripts. Launching experiments and hyper parameter search don’t require any changes in the code. Additionally we optimize experiments under the hood for compute expenditure, saving you cloud compute costs, and time to deployment.
Instantly deploy your models and algorithms to an inference production environment.
Enable interactive building and assembly of continuous learning production pipelines in minutes. The best no-code tool for configuring and optimizing your training algorithms for the cloud. Includes visualizations for maximized visibility while monitoring your production pipelines, empowering you to scale your AI product without scaling your team size.
