Low Code Cloud Platform
for AI Developers

Productionize AI faster

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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.

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Testimonials

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.

Sergey Antopolskiy
Data Scientist

Our DevOps Engineers were exceedingly busy and this platform enabled our data science team to be self-reliant and more productive.

Nikhil Banerjee
Product Manager

Benefits of Innocuous AI

Shorten time-to-value for your company's AI investment

Effortless

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

Flexible

Use any type of data source and integrate with any data engineering or other best-in-class platform that suits your ever-changing needs

Fast

Leapfrog over your competition by getting models to production faster and maintain them seamlessly with automated continuous learning

Cost-Effective

Save on payroll with a smaller AI team and built-in optimization of cloud compute costs to yield a better ROI faster

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What Business Executives Want

Companies invest in AI to provide better products and service experiences for your customers, and improve customer acquisition & retention in order to drive revenue

Reduce Cost

Avoid scaling linearly by maintaining a small AI team and controlling cloud compute costs more effectively

Better ROI

By outsourcing DevOps for your AI team, your ROI improves due to reduced expenses in payroll and infrastructure cost

Faster Time To-Value

Cut down time from years to months to yield value from your AI investments
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DevOps-as-a-Service

Effortless yet flexible

with both tabular and unstructured data like NLP and computer vision


Eliminate headaches

by outsourcing MLOps and DevOps infrastructure to avoid perpetual engineering maintenance

Ease of adoption

with non-invasive, low learning curve; a completely language and framework agnostic platform
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What Data Scientists Want

Build production cloud infrastructure but with the feel and ease of working on your local desktop

Rapid onboarding

with easy-to-use Cloud IDE and notebook gets new team members onboarded rapidly


Focus on what you love: creating algorithms

including getting more models into production faster and easier maintenance of production pipelines

Eliminate continual support

of AI development and production of cloud infrastructure

Faster correction

of model drifts that automatically redeploy to the cloud with continuous learning
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What Researchers Want

Simple and Easy

to prototype, debug, search over, and reproduce your experiments


Store large amounts of data

is a breeze with File Manager
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Platform Feature Highlights

Remote Development
Experimentation
Hyper Parameter Search
AutoML
Deployment Endpoints
Continuous Learning & Search Pipeline
Few Shot Learning
Serverless Functions
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Remote Develop with our Cloud IDE and notebooks

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.

Experimentation and Hyper Parameter Search

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.

Instant Inference Deployment

Instantly deploy your models and algorithms to an inference production environment.

Continuous Learning and Search Pipelines

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.

Savings

80%
Time saved
70%
Amount saved
50%
Headcount saved

Productionize AI faster today

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