A managed AI and data infrastructure platform that lets teams deploy, orchestrate, and manage AI agent frameworks and data pipelines on their own cloud (AWS, GCP, Azure). It provides a unified control plane for running tools like LangChain, CrewAI, AutoGen, Haystack, and other AI frameworks without managing underlying Kubernetes infrastructure. Unlike generic compute platforms such as Anyscale or Modal, Shakudo focuses on providing a fully pre-integrated stack of 200+ data and AI components that can be composed into production pipelines, all deployed inside the customer's VPC for full data residency and compliance.
Shakudo positions itself as 'The Operating System for AI,' providing a comprehensive managed platform that enables enterprises to build, deploy, and govern autonomous AI agents and data pipelines entirely within their own cloud infrastructure. Rather than requiring teams to stitch together dozens of open-source tools on top of raw Kubernetes, Shakudo offers a pre-integrated catalog of 170+ AI and data stack components—spanning agent frameworks like LangChain and CrewAI, vector databases, knowledge graphs, workflow automation, and reverse ETL—that can be composed into production-ready solutions through a unified control plane.
The platform is designed for regulated and security-conscious enterprises across industries including financial services, healthcare and life sciences, aerospace, automotive, manufacturing, energy, and real estate. Shakudo supports on-premises and private cloud deployments, air-gapped networks, and holds SOC 2 Type II certification. Built-in security features include automatic mitigation of OWASP Top 10 LLM risks, deep role-based access control (RBAC) integrated into every stack component, and container image and package vulnerability scanning for both PyPI and CRAN ecosystems.
Beyond raw infrastructure, Shakudo offers purpose-built AI applications layered on top of the platform: Patina for autonomous cross-department workflows with full auditability, Kaji as an enterprise AI expert assistant, an AI Gateway for unified LLM governance, an MCP Proxy for connecting APIs to AI, and specialized modules for document extraction, knowledge graph construction, text-to-SQL, and vector database deployment. This application layer allows enterprises to move from infrastructure setup to delivering business value quickly, with proven execution across use cases like investment thesis analysis, financial document extraction, SOP management, real-world evidence generation for healthcare, dynamic ticket pricing, and preventive maintenance scheduling.
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Shakudo deploys entirely within the customer's own infrastructure—whether that is a public cloud VPC on AWS, GCP, or Azure, a private cloud, or a fully air-gapped on-premises environment. No data ever leaves the customer's controlled perimeter, making it suitable for defense, government, and heavily regulated enterprise environments where data sovereignty is a hard requirement.
The platform provides a catalog of 170+ pre-integrated open-source AI/ML and data tools that are configured to work together out of the box. This includes agent frameworks, vector databases, ETL tools, knowledge graph engines, and more, eliminating the months of integration engineering typically required to build a composable AI data stack from individual open-source projects.
Shakudo is SOC 2 Type II certified and includes automatic mitigation of OWASP Top 10 LLM risks, deep RBAC linked into every stack component, container image vulnerability scanning, and PyPI/CRAN package vulnerability scanning. These security features are built into the platform's foundation rather than added as an afterthought, providing governance across all deployed AI services.
Beyond infrastructure, Shakudo offers ready-to-deploy AI applications: Patina provides autonomous cross-department workflows with full auditability, Kaji serves as an enterprise AI expert assistant, and the AI Gateway acts as a unified control plane for governing all AI model usage. These applications accelerate time-to-value by providing business-ready functionality on top of the managed infrastructure.
Shakudo includes a dedicated autonomous multi-agent platform that runs within the customer's cloud, along with an MCP Proxy that connects existing enterprise APIs to AI systems. This combination allows organizations to deploy complex multi-agent workflows that can interact with internal systems and data sources while maintaining full security controls and audit trails.
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Shakudo raised a $7 million strategic funding round to power sovereign enterprise AI. The company launched several new AI applications including Patina (autonomous cross-department workflows with auditability), Kaji (enterprise AI expert assistant), an AI Gateway for unified LLM governance, an MCP Proxy for connecting APIs to AI, and an autonomous multi-agent platform deployable within customer clouds. The company is also exhibiting at Ai4 2025, described as North America's largest artificial intelligence industry event.
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