Enterprise AI. Real results.
Orckai puts assistants, agents and workflows directly on the databases, APIs and documents you already run — inside your access rules. As SaaS, or entirely within your own network.
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Trusted by innovative organizations
One platform. Four ways to put AI to work.
Orckai combines the power of large language models with your organization's knowledge, systems, and workflows — so your teams get accurate, helpful answers and real results.
Solutions for every team
Turn product questions into qualified pipeline.
Learn moreGive customers instant, accurate answers.
Learn moreSurface insights and opportunities from your data.
Learn moreAutomate repeatable business processes.
Learn moreReal impact
Stock questions answered against live line-of-business systems, without the field team logging in to anything new.
Incoming documents are read, classified and routed automatically, with every answer traceable to its source.
Recurring operational reports assembled from plant systems and delivered on a schedule, no manual pulls.
FAQ
The questions we get asked most about how Orckai works, deploys and is priced.
Orckai connects to apps, databases, APIs, files, knowledge bases, and internal tools through governed connections. You decide which tables, fields, documents, and actions are available, and Orckai makes them usable by agents, workflows, widgets, and APIs with audit visibility.
Orckai supports 19+ models across Anthropic and OpenAI. Select different models per agent or workflow for cost, speed, and quality optimization, and bring your own provider keys.
Yes. Orckai is available as a managed SaaS at orckai.app — just sign up and start building. If you prefer full control, you can also self-host on your own servers via Docker Compose. We support Linux, Windows, and on-premise deployments. Your data never leaves your servers with the self-hosted option.
No code is required for core setup. Teams can connect data, create agents, build workflows, and launch widgets visually. For advanced logic, Code Steps let technical users add deterministic JavaScript in a sandbox, and the REST API supports deeper platform integrations.
Orckai charges a flat monthly fee based on your plan tier. You bring your own LLM API keys, so you only pay your actual LLM usage directly to providers (Anthropic, OpenAI, etc.). There are no per-execution fees or hidden charges. Enterprise customers get unlimited usage with on-premise deployment.
Orckai uses AES-256 encryption, row-level security in PostgreSQL, RBAC with role-based permissions, audit logging with IP tracking, and JWT authentication with hashed API keys. System connections support table-level and column-level permissions. On managed SaaS, each organization's data is isolated. With self-hosted deployment, your data stays in your infrastructure.
Yes. The Orckai Public API v1 provides REST endpoints covering agents, workflows, knowledge bases, prompt templates, system connections, chat, and organization management. Authenticate with scoped API keys and granular permissions such as agents:read and workflows:execute.
Real-world rollouts
