Onky vs Claude Cowork
Proprietary agentic workspace
Anthropic's agentic workspace: excellent reasoning, strong built-in governance, and deep document work with your internal context.
Cowork runs on Anthropic's proprietary models in Anthropic's cloud. Onky runs open-source models on EU infrastructure it controls, offers on-premise and air-gapped deployment on request, and builds the internal apps a workflow is missing instead of stopping at the answer.
Onky vs ChatGPT Enterprise
Workspace Agents, proprietary
The default workplace AI assistant: broad adoption, strong general capability, and workspace agents across the OpenAI ecosystem.
It is proprietary end to end, and most work still lands back in the chat window. Onky executes across the systems you run, ships what it builds as governed internal apps, and can move the whole platform inside your own perimeter, where proprietary-API models cannot follow.
Onky vs Sauna.ai
Multiplayer AI agent platform
A multiplayer AI agent that learns how your team works, remembers context, and runs scheduled work in the cloud around the clock.
Sauna shares Onky's conviction that AI should act, not just answer. Onky adds what a regulated buyer needs on top of that: a default-deny policy engine on every action, an end-to-end audit trail, an open-source model stack, and sovereign deployment options.
Onky vs Vybe.build
Agent and app builder
An agent and app builder: describe what you need in chat and it builds the agent or app for you.
For Onky, building is one of four jobs, not the whole product. It also answers with context, acts across your systems, and remembers how your organisation works, and everything it builds is registered with the Kernel, our policy engine, before it can run.
Onky vs Viktor.com
AI employee in Slack and Teams
An AI employee that lives in Slack and Microsoft Teams and does the work where your team already talks.
Onky also acts where your team works, but puts an operating layer underneath: policy-checked actions with an audit trail, EU-sovereign open-source models, and the ability to build and govern the internal tools the work needs.
Onky vs Onyx.app
Open-source AI chat and enterprise search
Onyx.app (formerly Danswer) is an open-source AI chat and enterprise search platform: dozens of connectors index your documents and apps, custom agents answer over that knowledge with the LLM provider you choose, and you can self-host the platform or use Onyx Cloud. Despite the similar name, Onyx.app and Onky are unrelated companies.
Onky is not open-source, and the trade is deliberate: it ships as a complete, governed stack rather than a kit. Three things come with Onky that Onyx.app leaves to you. The models: Onyx.app brings the LLM provider you choose, which in practice means a third-party AI lab or a model stack you operate yourself, while Onky runs open-source models on EU infrastructure it controls, with on-premise and air-gapped deployment on request, models included. The governance: Onyx.app governs who may see what; Onky also governs what the AI may do, with a default-deny policy engine (the Kernel) and an audit trail on every autonomous action. And the building: Onyx.app agents answer and trigger actions; Onky executes whole workflows and builds the internal apps a workflow is missing.