Backend infrastructure for AI teams to build, deploy, and manage multi-agent workflows. No-code agent orchestration, full playground control, and multi-model support.
Coordinate specialized agents such as research, writing, and QA within a single flow to manage complex, multi-step tasks.
For extracting insights from vast data. Run multi-step research workflows using APIs, memory, and reasoning to deliver clear, structured takeaways.
When accuracy and real-time context are critical. Retrieve verified content from internal data, docs, or wikis to ensure your output is current and reliable.
For breaking down large, complex tasks. Turn big goals into executable steps. Decide what happens next and which agent takes action.
When different users need different levels of control. Give end users, AI engineers, and ops teams the right depth of access. Ensuring clarity, security, and seamless collaboration.
Popular Features of Dot Framework
41%
fewer access-related support tickets
47%
improvement in cross-team information sharing
39%
reduction in time spent on manual internal processes
Seat Management
Dot Framework gives you centralized control over who can access what. Manage user roles, assign permissions, and track usage across teams to keep operations secure and efficient.
No-code Playground
Build and test agent workflows in a no-code playground where technical and non-technical teams can collaborate, experiment, and iterate in real time.
Workflow Automation
Dot Framework automates repetitive internal tasks, helps teams complete requests faster, and connects siloed systems to keep operations running smoothly.
Why Dot Framework?
Dot Framework helps teams work faster, smarter, and more securely by unifying company knowledge, automating internal processes, and managing AI access with precision.