Shakudo

Shakudo provides an enterprise AI operating system designed to accelerate innovation while maintaining data sovereignty within trusted infrastructure. The platform brings over 231 AI tools into your VPC and operates them automatically, enabling organizations to build their ideal data stack on a unified platform without vendor lock-in.

• Data Sovereignty ensures all data remains within your trusted infrastructure with support for on-premises and private cloud deployments, air-gapped networks, and automatic mitigation of OWASP Top 10 LLM risks.

• AI Agents Platform enables autonomous multi-agent systems in your cloud, allowing cross-department workflows with total auditability through the Patina application.

• MCP Proxy connects your existing APIs to AI systems, bridging legacy infrastructure with modern AI capabilities.

• ExtractFlow extracts secure data from documents using AI-powered processing for enterprise document management.

• Knowledge Graph connects scattered data into clear insights, enabling better decision-making across the organization.

• Vector Database and RAG Stack deploys context-aware AI applications at scale with integrated LLM capabilities.

• Workflow Automation automates repetitive tasks and data flows, reducing manual intervention and improving operational efficiency.

• Text to SQL allows users to interact with data using natural language queries, democratizing data access across teams.

• Security Compliance includes SOC 2 Type II certification, HIPAA compliance, built-in Role Based Access Control (RBAC), container image vulnerability scanning, and PyPI/CRAN package vulnerability scanning.

• Enterprise Support provides 24/7 support with executive briefings, hands-on AI workshops, co-development solutions, and large-scale production rollouts.

To get started, organizations can book an executive briefing to identify high-impact AI use cases, participate in a 4-day AI workshop to build prototypes with actual data, or engage in co-development to accelerate from prototype to production with embedded engineering support.