Cubeo

Users compose agents from a library of AI capabilities web research, document analysis, data extraction, content generation, API calls, and decision logic connecting them into multi-step workflows through a visual interface.

These AI agents can operate autonomously on schedules, respond to triggers, or work collaboratively in sequences where one agent's output feeds the next, enabling sophisticated automation that previously required custom development resources.

The platform's team-building metaphor allows organizations to define specialized AI roles a research agent that monitors industry news, an analysis agent that summarizes findings, a writing agent that drafts reports, and a review agent that checks outputs against brand guidelines and deploy them as a coordinated workflow that runs continuously.

Each agent maintains context from previous steps, enabling coherent multi-stage reasoning that single-prompt LLM interactions cannot achieve. Integrations with popular business tools (Slack, Notion, Google Workspace, Salesforce, HubSpot) allow agents to read from and write to the systems teams already use.

Marketing teams use Cubeo to automate competitor monitoring, content research, and first-draft generation. Sales teams deploy agents to research prospects, personalize outreach, and update CRM records. Operations teams build agents that process invoices, extract data from documents, and route approvals.

The platform's democratization of AI automation is particularly valuable for small and mid-sized businesses that want to compete with the operational efficiency of larger organizations but lack the engineering capacity to build custom AI integrations from scratch.