Leap integration

Connect

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Leap

to AI agents.

Connect Leap's custom AI model training and image generation capabilities to V7 Go's AI agents to automate computer vision workflows and generative AI tasks through intelligent coordination.

Featured workflows

Featured workflows

A library of

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Workflows

ready to operate

Select from a library of pre-built AI agents to power your Leap workflows.

Popular workflows

From

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Leap

to

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Slack

Slack + Leap

Request image generation jobs from Slack and receive results instantly.

From

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Leap

to

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GitHub

GitHub + Leap

Trigger model training from GitHub commits and track versions.

From

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Google Drive

to

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Leap

Leap + Google Drive

Save generated images and training datasets to Google Drive automatically.

From

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AWS

to

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Leap

Leap + AWS

Store model artifacts and training data in AWS S3 buckets.

From

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Notion

to

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Leap

Leap + Notion

Document model training progress and image generation results.

From

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Microsoft Teams

to

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Leap

Leap + Microsoft Teams

Share model training updates and generated images with team members.

Example workflow

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Leap example workflow

Let AI handle tasks across multiple tools

Popular workflows

Example

AI Agent

Output

Input

Hide

Logo

Slash Command Used

Start workflow from a command

AI Agent

AI Concierge Agent

Coordinating model training and image generation

Output

Waiting for analysis

Let the agent run first

Actions & Triggers

Use

Logo

Leap

to build powerful automations across multiple tools

  • Time saving for invoice processing

    95%

    "We are looking for V7 Go and AI in general to be the beating heart of our company and our growth. It will make us more productive as a company, liaising with customers, automating tasks, even finding new work."

  • Productivity increase

    35%

    "We used V7 Go to automate our diligence process with data extraction and automated analysis. This led to a 35% productivity increase in just the first month of use."

  • Custom solution delivery

    In hours, not weeks

    "Partnering with V7 means bringing our toughest data challenges to a team that turns them into solutions in hours. Their Solutions Engineers have redefined what’s possible for our business."

Enterprise-grade

security.

Your data stays yours—always. Work with one of the few AI companies that never trains on your data.
  • No training on your data

  • Encrypted end-to-end

  • Audited and penetration-tested

  • Fine-grained access controls

  • Inhouse security team

  • Audit logs across every workflow

  • Time saving for invoice processing

    95%

    "We are looking for V7 Go and AI in general to be the beating heart of our company and our growth. It will make us more productive as a company, liaising with customers, automating tasks, even finding new work."

  • Productivity increase

    35%

    "We used V7 Go to automate our diligence process with data extraction and automated analysis. This led to a 35% productivity increase in just the first month of use."

  • Custom solution delivery

    In hours, not weeks

    "Partnering with V7 means bringing our toughest data challenges to a team that turns them into solutions in hours. Their Solutions Engineers have redefined what’s possible for our business."

Enterprise-grade

security.

Your data stays yours—always. Work with one of the few AI companies that never trains on your data.
  • No training on your data

  • Encrypted end-to-end

  • Audited and penetration-tested

  • Fine-grained access controls

  • Inhouse security team

  • Audit logs across every workflow

  • Time saving for invoice processing

    95%

    "We are looking for V7 Go and AI in general to be the beating heart of our company and our growth. It will make us more productive as a company, liaising with customers, automating tasks, even finding new work."

  • Productivity increase

    35%

    "We used V7 Go to automate our diligence process with data extraction and automated analysis. This led to a 35% productivity increase in just the first month of use."

  • Custom solution delivery

    In hours, not weeks

    "Partnering with V7 means bringing our toughest data challenges to a team that turns them into solutions in hours. Their Solutions Engineers have redefined what’s possible for our business."

Enterprise-grade

security.

Your data stays yours—always. Work with one of the few AI companies that never trains on your data.
  • No training on your data

  • Encrypted end-to-end

  • Audited and penetration-tested

  • Fine-grained access controls

  • Inhouse security team

  • Audit logs across every workflow

Have questions?
Find answers.

Any more questions?

How does V7 Go differ from tools like Zapier or Make?

Zapier and Make are useful when you want apps to react to events in each other. They’re built around triggers and simple data handoffs. V7 Go sits at a different layer. It focuses on document-heavy workflows where the outcome depends on what’s inside the file. Its agents can read a document, extract what matters, use information stored in your workspace, and then act inside your connected apps. In practice, it means Zapier or Make can still be part of your stack, but the purpose of each tool is different. For example, if Zapier handles the wiring, V7 Go can handles the logic that depends on the contents of the document.

How do I connect integrations to V7 Go?

V7 Go includes built-in connectors that link to a growing library of more than four hundred applications. These connectors work through triggers and skills. Triggers are events happening inside external apps that V7 Go can listen to, so when something changes in that app, an agent can start working. Skills are the actions V7 Go can take inside those external apps, whether that’s retrieving information, updating data, or using some feature of the app during a workflow.

Beyond the connector library, the platform can also link to any software that exposes an API endpoint. If an app supports HTTP requests, V7 Go can talk to it through webhooks or API calls. This is often the preferred method for teams working with industry-specific or niche tools that will never have an off-the-shelf integration. Setting these up usually only involves pointing V7 Go at the right endpoint and passing the credentials the system requires.

How does pricing work for integrations?

V7 Go includes built-in connectors that link to a growing library of more than four hundred applications. These connectors work through triggers and skills. Triggers are events happening inside external apps that V7 Go can listen to, so when something changes in that app, an agent can start working. Skills are the actions V7 Go can take inside those external apps, whether that’s retrieving information, updating data, or using some feature of the app during a workflow.

Beyond the connector library, the platform can also link to any software that exposes an API endpoint. If an app supports HTTP requests, V7 Go can talk to it through webhooks or API calls. This is often the preferred method for teams working with industry-specific or niche tools that will never have an off-the-shelf integration. Setting these up usually only involves pointing V7 Go at the right endpoint and passing the credentials the system requires.

What can V7 Go’s agents do once integrations are connected?

Once integrations are active, the agents can work end-to-end across documents and external systems. They can read files, extract structured information, and use additional context from the documents stored in your workspace. They can also perform actions inside the apps you’ve connected, whether that’s updating a record, retrieving additional data, sending a message, or running a task that depends on the contents of the document. You can design workflows where an incoming file automatically triggers an agent, the agent completes the work, and the results show up exactly where your team needs them.

What are Knowledge Hubs, and how do they relate to integrations?

Knowledge Hubs are where your documents live inside V7 Go. When you sync files from places like Google Drive or SharePoint, or upload them directly, they’re not just stored—they’re indexed. That indexing is important, because it means the AI can work with a large library of documents and decide, on its own, which ones are relevant to the task at hand. If an agent needs background information, a definition, a policy, a previous contract, or anything else buried in your files, it can pull the right pieces as it works. This gives your workflows the ability to reference your institutional knowledge without having to hard-code every rule or document location.

Have questions?
Find answers.

How does V7 Go differ from tools like Zapier or Make?

Zapier and Make are useful when you want apps to react to events in each other. They’re built around triggers and simple data handoffs. V7 Go sits at a different layer. It focuses on document-heavy workflows where the outcome depends on what’s inside the file. Its agents can read a document, extract what matters, use information stored in your workspace, and then act inside your connected apps. In practice, it means Zapier or Make can still be part of your stack, but the purpose of each tool is different. For example, if Zapier handles the wiring, V7 Go can handles the logic that depends on the contents of the document.

How do I connect integrations to V7 Go?

V7 Go includes built-in connectors that link to a growing library of more than four hundred applications. These connectors work through triggers and skills. Triggers are events happening inside external apps that V7 Go can listen to, so when something changes in that app, an agent can start working. Skills are the actions V7 Go can take inside those external apps, whether that’s retrieving information, updating data, or using some feature of the app during a workflow.

Beyond the connector library, the platform can also link to any software that exposes an API endpoint. If an app supports HTTP requests, V7 Go can talk to it through webhooks or API calls. This is often the preferred method for teams working with industry-specific or niche tools that will never have an off-the-shelf integration. Setting these up usually only involves pointing V7 Go at the right endpoint and passing the credentials the system requires.

How does pricing work for integrations?

V7 Go includes built-in connectors that link to a growing library of more than four hundred applications. These connectors work through triggers and skills. Triggers are events happening inside external apps that V7 Go can listen to, so when something changes in that app, an agent can start working. Skills are the actions V7 Go can take inside those external apps, whether that’s retrieving information, updating data, or using some feature of the app during a workflow.

Beyond the connector library, the platform can also link to any software that exposes an API endpoint. If an app supports HTTP requests, V7 Go can talk to it through webhooks or API calls. This is often the preferred method for teams working with industry-specific or niche tools that will never have an off-the-shelf integration. Setting these up usually only involves pointing V7 Go at the right endpoint and passing the credentials the system requires.

What can V7 Go’s agents do once integrations are connected?

Once integrations are active, the agents can work end-to-end across documents and external systems. They can read files, extract structured information, and use additional context from the documents stored in your workspace. They can also perform actions inside the apps you’ve connected, whether that’s updating a record, retrieving additional data, sending a message, or running a task that depends on the contents of the document. You can design workflows where an incoming file automatically triggers an agent, the agent completes the work, and the results show up exactly where your team needs them.

What are Knowledge Hubs, and how do they relate to integrations?

Knowledge Hubs are where your documents live inside V7 Go. When you sync files from places like Google Drive or SharePoint, or upload them directly, they’re not just stored—they’re indexed. That indexing is important, because it means the AI can work with a large library of documents and decide, on its own, which ones are relevant to the task at hand. If an agent needs background information, a definition, a policy, a previous contract, or anything else buried in your files, it can pull the right pieces as it works. This gives your workflows the ability to reference your institutional knowledge without having to hard-code every rule or document location.

Have questions?
Find answers.

Any more questions?

How does V7 Go differ from tools like Zapier or Make?

Zapier and Make are useful when you want apps to react to events in each other. They’re built around triggers and simple data handoffs. V7 Go sits at a different layer. It focuses on document-heavy workflows where the outcome depends on what’s inside the file. Its agents can read a document, extract what matters, use information stored in your workspace, and then act inside your connected apps. In practice, it means Zapier or Make can still be part of your stack, but the purpose of each tool is different. For example, if Zapier handles the wiring, V7 Go can handles the logic that depends on the contents of the document.

How do I connect integrations to V7 Go?

V7 Go includes built-in connectors that link to a growing library of more than four hundred applications. These connectors work through triggers and skills. Triggers are events happening inside external apps that V7 Go can listen to, so when something changes in that app, an agent can start working. Skills are the actions V7 Go can take inside those external apps, whether that’s retrieving information, updating data, or using some feature of the app during a workflow.

Beyond the connector library, the platform can also link to any software that exposes an API endpoint. If an app supports HTTP requests, V7 Go can talk to it through webhooks or API calls. This is often the preferred method for teams working with industry-specific or niche tools that will never have an off-the-shelf integration. Setting these up usually only involves pointing V7 Go at the right endpoint and passing the credentials the system requires.

How does pricing work for integrations?

V7 Go includes built-in connectors that link to a growing library of more than four hundred applications. These connectors work through triggers and skills. Triggers are events happening inside external apps that V7 Go can listen to, so when something changes in that app, an agent can start working. Skills are the actions V7 Go can take inside those external apps, whether that’s retrieving information, updating data, or using some feature of the app during a workflow.

Beyond the connector library, the platform can also link to any software that exposes an API endpoint. If an app supports HTTP requests, V7 Go can talk to it through webhooks or API calls. This is often the preferred method for teams working with industry-specific or niche tools that will never have an off-the-shelf integration. Setting these up usually only involves pointing V7 Go at the right endpoint and passing the credentials the system requires.

What can V7 Go’s agents do once integrations are connected?

Once integrations are active, the agents can work end-to-end across documents and external systems. They can read files, extract structured information, and use additional context from the documents stored in your workspace. They can also perform actions inside the apps you’ve connected, whether that’s updating a record, retrieving additional data, sending a message, or running a task that depends on the contents of the document. You can design workflows where an incoming file automatically triggers an agent, the agent completes the work, and the results show up exactly where your team needs them.

What are Knowledge Hubs, and how do they relate to integrations?

Knowledge Hubs are where your documents live inside V7 Go. When you sync files from places like Google Drive or SharePoint, or upload them directly, they’re not just stored—they’re indexed. That indexing is important, because it means the AI can work with a large library of documents and decide, on its own, which ones are relevant to the task at hand. If an agent needs background information, a definition, a policy, a previous contract, or anything else buried in your files, it can pull the right pieces as it works. This gives your workflows the ability to reference your institutional knowledge without having to hard-code every rule or document location.

Ready to build your automations

Ready to build your automations

Ready to build your automations