Open Agent Kit (OAK) is a comprehensive Generative AI (GenAI) platform designed to provide enterprises with unparalleled privacy, security, and control over their AI operations. It offers robust permission management, ensures data sovereignty, and facilitates seamless connections to leading Large Language Models (LLMs) or exclusive on-premise hosting for secure, contained deployments.
Key Features and Functionality:
- Enterprise-Grade Governance: OAK provides role-based access control, audit logging, and built-in analytics, delivering oversight across teams, spaces, and use cases to ensure transparent and reviewable AI usage.
- Data Sovereignty: Enterprises can choose their preferred deployment pattern—Cloud (Austria), On-Premise, or Self-Hosted—to keep sensitive information fully contained while meeting internal and external compliance requirements.
- LLM Flexibility: OAK's multi-LLM hub allows organizations to adopt the best model for each task, including options like OpenAI GPT, Anthropic Claude, Google Gemini, DeepSeek, Meta Llama, and Perplexity, without the need to re-architect their stack.
- Agents, Workflows, and Integrations: The platform enables the building of intelligent agents, orchestration of workflows, and connection to internal tools and applications through OAK's integration marketplace, all without disrupting existing systems.
- Secure On-Premise Hosting: In collaboration with ACP, OAK offers a turnkey, on-premise GenAI stack for enterprises requiring tight control over data, models, and infrastructure, ensuring all prompts, context, and outputs remain within the organization's security perimeter.
Primary Value and Solutions:
OAK addresses common enterprise challenges such as fragmented AI stacks, unclear data handling, vendor lock-in, and compliance risks. By providing a secure and flexible platform, OAK empowers organizations to pilot, scale, and govern AI initiatives with confidence. It ensures data privacy and security by design, offers data sovereignty that aligns with jurisdictional and regulatory needs, and provides the freedom to choose and integrate various LLMs without extensive re-architecting. This comprehensive approach enables enterprises to modernize knowledge work, automate operations, and deploy department-specific AI solutions while maintaining strict control over their data and AI infrastructure.
