Dataleap

Dataleap describes itself as an agentic operating system for enterprises. It builds AI employees, and the system that orchestrates them, so that business users can create agents for recurring work without writing code. The workflow is to describe a problem in plain language, after which Dataleap asks questions about the work, builds the agent, and sets it running on its own. In the home page example, an IT service desk agent watches a support channel in Slack, reads tickets in ServiceNow, searches Confluence and attempts a user update in Okta. Agents can start from triggers such as a new message, a scheduled time, a deal created event or a transcript ready webhook. The vendor lists more than 200 ready to use integrations and connects to any HTTP API or MCP server, including private in house tools. A governance layer is a central part of the pitch. The demo shows granular tool permissions, a per agent spending budget that resets on a schedule, approval requests when an agent asks to use a new tool, and a log of every action with its outcome, including a denied one. The product is aimed at enterprise teams in areas such as support, IT, revenue operations and recruiting. The site has login and sign up links and a contact route for sales conversations. A pricing page is not published, so no plan or price is stated.