Shakudo Pricing & Plans 2026

Name: Shakudo
Brand: Shakudo
Availability: InStock

Complete pricing guide for Shakudo. Compare all plans, analyze costs, and find the perfect tier for your needs.

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💎1 Paid Plans

⚡No Setup Fees

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Enterprise

Not publicly disclosed

✓No public fixed-price self-serve tier listed
✓Deployment in customer-owned AWS, GCP, Azure, private cloud, on-premises, or air-gapped environments
✓Access to Shakudo's pre-integrated 170+ AI, ML, and data component stack
✓Unified control plane for AI agents, data pipelines, governance, monitoring, and security
✓Enterprise security controls including RBAC, SOC 2 Type II certification, OWASP Top 10 LLM mitigation, and vulnerability scanning
✓Guided demo, AI workshop, or proof-of-concept engagement available through sales

Contact Sales →

Pricing sourced from Shakudo · Last verified March 2026

Is Shakudo Worth It?

✅ Why Choose Shakudo

• Deploys inside the customer's own AWS, GCP, Azure, private cloud, on-premises, or air-gapped environment, which is valuable for teams with strict data residency and sovereignty requirements
• Provides a pre-integrated AI and data stack with 170+ components, reducing the engineering effort required to connect agent frameworks, vector databases, workflow tools, ETL systems, and governance layers
• Supports multiple agent frameworks including LangChain, CrewAI, AutoGen, and Haystack, so enterprises are not forced into one agent development model
• SOC 2 Type II certification, OWASP Top 10 LLM risk mitigation, RBAC, container image scanning, and PyPI/CRAN vulnerability scanning make security a platform-level concern rather than a separate implementation project
• Includes production-oriented AI applications such as Patina, Kaji, AI Gateway, MCP Proxy, Extract Flow, knowledge graph tooling, text-to-SQL, and vector database deployment rather than stopping at raw infrastructure
• Useful for regulated industries specifically named in the available product material, including financial services, healthcare and life sciences, aerospace, automotive, manufacturing, energy, real estate, and retail

⚠️ Consider This

• Enterprise-only pricing with no self-serve, free, or startup tier makes it inaccessible for small teams, individual developers, or early-stage companies wanting to experiment
• Requires an existing cloud infrastructure commitment and VPC setup, adding a baseline cost layer before any Shakudo licensing fees apply
• Smaller community and ecosystem compared to building directly on widely adopted open-source tooling like raw Kubernetes or individual frameworks, limiting peer support and third-party tutorials
• The breadth of 170+ components and purpose-built applications creates a significant learning curve for teams new to the platform's composition model and governance structure
• Potential vendor lock-in to Shakudo's orchestration layer and control plane abstractions, making migration back to fully self-managed infrastructure a non-trivial effort

What Users Say About Shakudo

👍 What Users Love

✓Deploys inside the customer's own AWS, GCP, Azure, private cloud, on-premises, or air-gapped environment, which is valuable for teams with strict data residency and sovereignty requirements
✓Provides a pre-integrated AI and data stack with 170+ components, reducing the engineering effort required to connect agent frameworks, vector databases, workflow tools, ETL systems, and governance layers
✓Supports multiple agent frameworks including LangChain, CrewAI, AutoGen, and Haystack, so enterprises are not forced into one agent development model
✓SOC 2 Type II certification, OWASP Top 10 LLM risk mitigation, RBAC, container image scanning, and PyPI/CRAN vulnerability scanning make security a platform-level concern rather than a separate implementation project
✓Includes production-oriented AI applications such as Patina, Kaji, AI Gateway, MCP Proxy, Extract Flow, knowledge graph tooling, text-to-SQL, and vector database deployment rather than stopping at raw infrastructure
✓Useful for regulated industries specifically named in the available product material, including financial services, healthcare and life sciences, aerospace, automotive, manufacturing, energy, real estate, and retail

👎 Common Concerns

⚠Enterprise-only pricing with no self-serve, free, or startup tier makes it inaccessible for small teams, individual developers, or early-stage companies wanting to experiment
⚠Requires an existing cloud infrastructure commitment and VPC setup, adding a baseline cost layer before any Shakudo licensing fees apply
⚠Smaller community and ecosystem compared to building directly on widely adopted open-source tooling like raw Kubernetes or individual frameworks, limiting peer support and third-party tutorials
⚠The breadth of 170+ components and purpose-built applications creates a significant learning curve for teams new to the platform's composition model and governance structure
⚠Potential vendor lock-in to Shakudo's orchestration layer and control plane abstractions, making migration back to fully self-managed infrastructure a non-trivial effort

Pricing FAQ

How does Shakudo differ from running AI frameworks directly on Kubernetes?

Shakudo abstracts away the complexity of managing Kubernetes infrastructure while providing a pre-integrated catalog of 170+ AI and data components that are configured to work together. When running frameworks like LangChain or CrewAI directly on Kubernetes, teams must handle container orchestration, networking, dependency management, security hardening, monitoring, and inter-service communication themselves. Shakudo provides much of this through its unified control plane, along with built-in RBAC, vulnerability scanning, and governance dashboards, allowing teams to focus on building AI applications rather than maintaining infrastructure.

What security and compliance certifications does Shakudo support?

Shakudo's public website describes the platform as SOC 2 Type II certified and engineered for enterprise security standards. The platform includes automatic mitigation of OWASP Top 10 LLM risks, built-in role-based access control (RBAC) linked into stack components, container image vulnerability scanning, and PyPI/CRAN package vulnerability scanning. It supports deployment in air-gapped networks and private cloud environments, and the product positioning emphasizes keeping data within the customer's own infrastructure.

Can Shakudo be deployed on-premises or only in public cloud?

Shakudo supports both public cloud and on-premises deployments. For public cloud, it deploys within the customer's own VPC on AWS, GCP, or Azure. For organizations with stricter requirements, it also supports on-premises and private cloud deployments, including air-gapped network environments.

What AI applications does Shakudo offer beyond the infrastructure layer?

Beyond the core infrastructure platform, Shakudo provides several purpose-built AI applications: Patina for autonomous cross-department workflows with auditability, Kaji as an AI expert assistant for enterprise use, an AI Gateway serving as a unified control plane to govern AI model usage, an autonomous multi-agent platform, an MCP Proxy for connecting existing APIs to AI systems, Extract Flow for secure document data extraction, and specialized modules for knowledge graph construction, workflow automation, vector database deployment, text-to-SQL, and reverse ETL.

What industries and use cases does Shakudo primarily serve?

Shakudo serves a range of regulated and data-intensive industries including financial services, healthcare and life sciences, aerospace, automotive and transportation, climate and energy, manufacturing, real estate, and retail. Public product material lists use cases including assessing investment thesis fit and drift in finance, extracting key insights from financial documents, creating and managing SOPs with AI automation, generating real-world evidence for healthcare decisions, optimizing ticket pricing with dynamic demand modeling, and scheduling preventive maintenance for energy infrastructure.

Is there a free trial or demo available?

Shakudo offers guided demos, AI workshops, and proof-of-concept engagements through its sales process. There is no self-serve free tier or public fixed-price plan listed in the available product material, so prospective customers should contact Shakudo to discuss scope, deployment requirements, and pricing.

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