What is Dataleap

Dataleap is an AI work automation platform. You build Agents — intelligent workflows that connect your tools and complete tasks automatically.

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Anatomy of an agent

Every agent combines the same three kinds of capability, orchestrated by the model:

• Built-in tools — native capabilities every agent gets out of the box: web search, lead enrichment, transcription, reading text from images (OCR), image generation, webhooks.
• Connected apps — your existing stack. Each connected app brings its own triggers and actions: Outlook, Teams, Excel, Salesforce, Snowflake, Jira, and many more.
• Sandbox computer — a full computer at the agent’s disposal for advanced operations: storing and transforming files, writing and running Python.

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Mental model

Think of an agent as an AI employee. Like a coworker, it has a job description (its instructions), the tools to do that job (its connections), and a reason to start working (its triggers). You onboard it, give it feedback, and over time trust it with more. Brain, body, and arms. Another way to picture it:

• The brain is the instructions and the model — how the agent thinks and decides.
• The body is the sandbox and runtime — where the agent’s work actually happens.
• The arms are the integrations and tools — how the agent reaches into your systems to read and act.

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Common agent shapes

Agents come in recurring shapes — knowing them helps you reach for the right one instead of one giant prompt:

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How it works

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The vision

You start by building one agent for yourself. It rarely stops there: in every team, power users become champions who build agents the whole team profits from. Shared as team agents and templates, those agents get cloned and adapted by colleagues — until agents quietly run across the whole organization, governed with budgets and permissions. One agent today; the org compounds from there.