The Operating System for Data and AI

Securely deploy and operate the industry's leading tools and products inside your infrastructure, next to your data

Trusted By Industry Leaders

| Overview

Thousands of Connectors, Hundreds of Stack Components, One Operating System

Shakudo provides a single platform that supports a broad range of data stacks across a variety of infrastructures.

platform in action

More Building, Less Maintaining.

An end to end development platform that lets data scientists Develop, Run, and Deploy their data pipelines and applications, using an all in one integrated environment.

Develop your pipelines and applications

Utilize “Sessions” for cloud development environments with pre-packaged dependencies, languages, and tools like Python, pandas, and TensorFlow. Connect via integrated Cloud IDEs (Jupyter and VSCode Cloud) or existing IDEs (VSCode, PyCharm) through SSH.

Simplify Deployment with Integrated Jobs

Our Job system maintains consistency between development and execution by using the same environment configurations as Sessions. Opt for Immediate Jobs or Scheduled Jobs with Cron expressions, and enjoy compatibility with tools like Airflow and Prefect for enhanced control.

Optimized Job Scaling via Spark, Dask, and Ray, for Distributed Computing

Utilize our integrated Dask and Ray provisioning for seamless job scaling, minimizing infrastructure management and reducing cloud costs.

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Get Started

Streamlined Deployment and Integrations

Leverage our Services for seamless deployment of custom long-running programs and diverse integrations. Effortlessly publish data to S3 buckets, host models on Nvidia Triton, and present dashboards in Apache Superset, minimizing configuration and maintenance for your data scientists.

| WHy SHakudo

End-to-End Data Stack Designed for Modern Enterprises

Pre-configured development environments integrated with industry favorite tools to easily access to nodes, GPU and CPU.

Initiate a Dask, Spark, or Ray cluster customized for your task within seconds directly from Jupyter, with idle compute nodes automatically managed by an advanced garbage collection system.

Train PyTorch, TensorFlow, JAX, Scikit-Learn and other models on CPUs and GPUs. Easily serve the results as auto-scalable API endpoints.

Accelerate your data project’s speed to production from days to seconds. No matter how often you’d like your pipeline to run, it only takes a few button clicks to set up. Deploying at scale has never been easier.

Create beautiful interactive UIs right from inside Jupyter or VSCode with built-in Streamlit, NodeJS and Flask integrations allowing your data teams to showcase their work without needing help from frontend developers.

A comprehensive suite of monitoring tools of dashboards and alerts to help you effortlessly keep a watchful eye on all your data initiatives to help you optimize resource usage.

Shakudo Kubernetes management offers the fastest way to develop and deploy cloud-native applications, with built-in code-to-cloud pipelines. Our solution allows you to focus on your product and leave the cluster management to us.

| Shakudo is designed for

Data Executives
Data Scientists
DevOps Engineers

Testimonials

Driving Innovation Across Industries

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real estate | $77.6 Billion AUM

"We chose Shakudo over alternatives because it gave us the flexibility to use the data stack components that fit our needs knowing that we can evolve the stack to keep up with the industry."

Neal Gilmore

Senior Vice President, Enterprise Data & Analytics
@ QuadReal Property Group
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Healthcare | #1 Software for Autism and IDD Care

"We use Shakudo to shorten development time and time to impact. The platform provides us with a value-added shortcut to get from Point A to Point Z much faster. It’s now weeks or months vs months and years."

Chris Sullens

CEO @ CentralReach
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Digital Analytics | 40% of worldwide internet users

"Almost overnight, Shakudo's product helped us move past many of those struggles so we could focus on solving business problems instead of scaling infrastructure."

Adam Dille

SVP of Product & Engineering @ Quantum Metric
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Sports | NBA BAsketball Team

"In the last two months, we’ve been able to Develop and deploy 4 new AI applications in 2 months, amounting to significant return on operation."

Ben Levicki

AI Solutions Architect @ Cleveland Cavaliers
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Energy | 275% growth in customer base

"Not very often I find slam dunk products like Shakudo!"

Mike Kirkup

Chief Technology Officer @ EnPowered
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climate Risk | processes 33+ billion data points

"With the help of the Shakudo platform, we were able to massively scale our production pipelines, while working collaboratively to meet our product goals."

Andrew Wiebe

Chief Science Officer @ RiskThinking.AI

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Ready to see Shakudo in action?

Neal Gilmore