Overview 

For enterprises running critical systems, adopting AI is not about using another SaaS tool—it's about building lasting, secure, and sovereign infrastructure. Shakudo was founded to address this fundamental need. We provide an AI operating system that deploys directly inside your VPC or on-premise data centers, giving you complete control over your data and technology stack.

Why Shakudo?

Shakudo’s mission is to empower technology teams by eliminating the complexity of managing their AI and data stack, allowing for the effective implementation of their ideas through: 

Absolute Data Sovereignty

‍Your data and models never leave your environment. Shakudo installs within your existing VPC or on-premise infrastructure, ensuring you maintain full control and comply with the strictest security and regulatory requirements. This is non-negotiable for critical systems.

Access to Best-in-Class Open-Source Tools‍

Escape vendor lock-in from proprietary cloud stacks. Shakudo integrates the best open-source data and AI tools, allowing you to use the right technology for the job, every time. Our platform is designed to be durable and adaptable, ensuring what you build can outlast any single technology trend.

Deep Customization with Dedicated Support

AI is not one-size-fits-all. Adopting it requires hands-on tailoring. Shakudo provides forward-deployed engineers who work as an extension of your team to customize, integrate, and evolve your AI infrastructure, ensuring the solution fits your unique operational needs perfectly.

Core Platform Components

Shakudo provides a unified control plane for your sovereign AI infrastructure. It's designed to orchestrate best-in-class, open-source tools securely within your own VPC or on-premise environment. The core components give your teams the power to build, deploy, and manage mission-critical AI systems with full operational control. The Platform ensures that your organization is equipped with the most up-to-date data management solutions. Here's how it achieves this goal through its core components:

Sessions: Sessions provide a unified, containerized development environment that runs entirely within your network. This eliminates configuration drift and ensures that all development is consistent, auditable, and secure. It gives you complete control over libraries, dependencies, and access.

Jobs and Services: This is the operational core for your production AI. Jobs automate and manage your mission-critical pipelines—from large-scale model training to complex data transformations—with robust scheduling and execution. Services provide a resilient framework for deploying high-availability APIs and applications, such as real-time model inference endpoints. Both are deployed via auditable, version-controlled pipelines using Git or container registries, giving you full control over your production environment.

Shakudo Stack Components: To prevent vendor lock-in, Shakudo provides a library of curated, pre-integrated stacks built from best-in-class open-source technologies. This gives you a production-ready foundation without sacrificing control. You get the power of a cohesive platform while retaining the flexibility to use the right tool for the job, ensuring your infrastructure is built on durable, community-supported standards.

Building a Complete Data Stack Universe

Our philosophy is to provide a durable, open ecosystem, not a restrictive, proprietary one. We strategically select and integrate production-grade, open-source technologies that serve as a stable foundation for your infrastructure. This isn't about chasing every new trend; it's about providing an adaptable and future-proof toolchain that your organization controls, ensuring what you build today remains viable for years to come. You can check out the latest additions on our integrations page.

When to Use Shakudo

Shakudo's platform is adaptable and caters to a diverse range of problems and requirements. Whether you want to quickly develop models, deploy pipelines, monitor model performance, or build data applications, Shakudo provides the right tools and user-friendly environment for your needs.

As your organization grows and your data needs become more complex, Shakudo helps you scale your data infrastructure with ease. For teams eager to explore emerging data technologies or test new tools, it offers a supportive, easy-to-navigate environment. 

The Platform designed to support various tools and use cases, including:

Data Engineering: Streamline data transformation development and deployment processes for efficient data management with:

• dbt (Data Transformation)
• Apache Airflow, Prefect, or Dagster (Pipeline Orchestration)
• Airbyte (Data Integration)
• Add open source data warehouse tools like Hudi, Iceberg
• Add distributed sql engine like Trino, Apache Spark  
• Add streaming like Kafka, Flink

Distributed Computing: Manage data larger than memory, optimizing data processing and storage capabilities with: 

• Dask  (Distributed Computing)
• Apache Spark (Large-scale Data Processing)
• Ray (distributed model training and fine tuning)

Data analytics and Visualization: Enhance data insights and decision-making with advanced analytics and visualization with: 

• Superset, Cube.dev, Metabase (BI Dashboard)
• Streamlit (python based dashboarding tool)

Deployment of Batch Jobs: Automate and manage batch jobs efficiently for improved data processing with:

• Apache Airflow, Prefect, or Dagster (Pipeline Orchestration)
• Jenkins (Pipeline Automation)

Serving Data Applications and Pipelines: Seamlessly serve and manage data applications and pipelines for better data flow and accessibility with:

• Django, FastAPI, or Flask (Web Framework)

Machine Learning Model Training: Train machine learning models effectively, ensuring optimal performance and results with:

• TensorFlow, PyTorch, or MXNet (Deep  Learning Framework)
• Scikit-Learn, XGBoost, or LightGBM (Machine Learning Libraries)
• AutoGluon (AutoML)

Machine Learning Model Serving: Deploy and manage machine learning models for production, providing reliable and efficient solutions with:

• NVIDIA Triton (Model Serving)
• TFServe

Connection to storage and data warehousing: As your organization grows and the volume of data increases, Shakudo can help scale your data infrastructure to accommodate the increasing workload with:

• Amazon S3, Google Storage Bucket, or Azure Blob Storage (storage )
• Snowflake, BigQuery, or Amazon Redshift (Data Warehouse)
• Weaviate, Milvus, Qdrant (Vector Database)

Experimenting with New Data Tools: If your team wants to explore emerging data technologies or test new tools without the burden of DevOps overhead, Shakudo allows for easy experimentation in a flexible environment with:

• Llama4
• gpt-oss
• Langchain 
• LlamaIndex

In Conclusion 

Shakudo is not only an operating system for your AI and data stack but also a strategic partner on your data management journey. The operating system foundation equips your team with the tools needed to innovate and excel in today's fast-paced world.

As your organization grows and your data needs evolve, Shakudo scales with you, ensuring your data infrastructure can handle increasing workloads and complexity. To experience the transformative impact of enterprise AI operating system, contact our team today.