Go

Go

Go Pricing

Go Pricing

Workflow automation powered by AI agents with flexible pricing tailored to your needs.

Formula

Transparent pricing built for your workflows

We create a custom pricing package based on three key components:

Your price

Platform

Your total annual cost is the sum of:

Base fee that includes access to the V7 platform with either AI agents (Go) or data labeling tools (Darwin).

Platform fee

+

User licenses

+

Data processing charges

Platform

Foundation access to V7 Go with specialized AI agents for finance, insurance, and legal workflows.

Users

Flexible team access with customizable user roles and permissions.

Data

Volume-based pricing that scales with your document processing volume. Only pay for what you process, with options to expand as your needs grow.

Trusted by Industry Leaders

Trusted by Industry Leaders

Have questions?

Find answers.

Any more questions?

Why should I use Go instead of calling a model provider directly?

Go is more accurate and robust than calling a model provider directly. By breaking down complex tasks into reasoning steps with Index Knowledge, Go enables LLMs to query your data more accurately than an out of the box API call. Combining this with conditional logic, which can route high sensitivity data to a human review, Go builds robustness into your AI powered workflows.

Is V7 Go part of V7 Darwin?

No, they are separate products with different purposes. V7 Darwin is a data labeling platform for annotating images, videos and medical imaging to train your own models. V7 Go specializes in applying foundation models to automate document-intensive workflows through intelligent processing.

Does V7 Go support external models?

V7 Go supports a variety of foundation models through our platform, and you can also connect your own API keys to use models of your choice. This flexible approach allows you to select the best AI models for your specific workflows.

Can V7 Go recognize printed and handwritten text?

V7 Go is capable of recognizing both printed and handwritten text, leveraging advanced optical character recognition (OCR) technologies, as well as charts, diagrams and logos.

Can V7 Go recognize printed and handwritten text?

The document generation feature is designed for both one-off tasks and fully automated, recurring workflows. Users can configure the system to trigger an entire analysis-to-document pipeline automatically. For example, when a new Confidential Information Memorandum (CIM) is uploaded to a designated folder, an AI Agent can be set to process it and generate a standardized summary deck without any manual intervention. This is ideal for scaling recurring processes such as deal screening, compliance audits, or periodic portfolio reporting.

Have questions?

Find answers.

Any more questions?

Why should I use Go instead of calling a model provider directly?

Go is more accurate and robust than calling a model provider directly. By breaking down complex tasks into reasoning steps with Index Knowledge, Go enables LLMs to query your data more accurately than an out of the box API call. Combining this with conditional logic, which can route high sensitivity data to a human review, Go builds robustness into your AI powered workflows.

Is V7 Go part of V7 Darwin?

No, they are separate products with different purposes. V7 Darwin is a data labeling platform for annotating images, videos and medical imaging to train your own models. V7 Go specializes in applying foundation models to automate document-intensive workflows through intelligent processing.

Does V7 Go support external models?

V7 Go supports a variety of foundation models through our platform, and you can also connect your own API keys to use models of your choice. This flexible approach allows you to select the best AI models for your specific workflows.

Can V7 Go recognize printed and handwritten text?

V7 Go is capable of recognizing both printed and handwritten text, leveraging advanced optical character recognition (OCR) technologies, as well as charts, diagrams and logos.

Can V7 Go recognize printed and handwritten text?

The document generation feature is designed for both one-off tasks and fully automated, recurring workflows. Users can configure the system to trigger an entire analysis-to-document pipeline automatically. For example, when a new Confidential Information Memorandum (CIM) is uploaded to a designated folder, an AI Agent can be set to process it and generate a standardized summary deck without any manual intervention. This is ideal for scaling recurring processes such as deal screening, compliance audits, or periodic portfolio reporting.

Have questions?

Find answers.

Why should I use Go instead of calling a model provider directly?

Go is more accurate and robust than calling a model provider directly. By breaking down complex tasks into reasoning steps with Index Knowledge, Go enables LLMs to query your data more accurately than an out of the box API call. Combining this with conditional logic, which can route high sensitivity data to a human review, Go builds robustness into your AI powered workflows.

Is V7 Go part of V7 Darwin?

No, they are separate products with different purposes. V7 Darwin is a data labeling platform for annotating images, videos and medical imaging to train your own models. V7 Go specializes in applying foundation models to automate document-intensive workflows through intelligent processing.

Does V7 Go support external models?

V7 Go supports a variety of foundation models through our platform, and you can also connect your own API keys to use models of your choice. This flexible approach allows you to select the best AI models for your specific workflows.

Can V7 Go recognize printed and handwritten text?

V7 Go is capable of recognizing both printed and handwritten text, leveraging advanced optical character recognition (OCR) technologies, as well as charts, diagrams and logos.

Can V7 Go recognize printed and handwritten text?

The document generation feature is designed for both one-off tasks and fully automated, recurring workflows. Users can configure the system to trigger an entire analysis-to-document pipeline automatically. For example, when a new Confidential Information Memorandum (CIM) is uploaded to a designated folder, an AI Agent can be set to process it and generate a standardized summary deck without any manual intervention. This is ideal for scaling recurring processes such as deal screening, compliance audits, or periodic portfolio reporting.

Have questions?

Find answers.

Any more questions?

Why should I use Go instead of calling a model provider directly?

Go is more accurate and robust than calling a model provider directly. By breaking down complex tasks into reasoning steps with Index Knowledge, Go enables LLMs to query your data more accurately than an out of the box API call. Combining this with conditional logic, which can route high sensitivity data to a human review, Go builds robustness into your AI powered workflows.

Is V7 Go part of V7 Darwin?

No, they are separate products with different purposes. V7 Darwin is a data labeling platform for annotating images, videos and medical imaging to train your own models. V7 Go specializes in applying foundation models to automate document-intensive workflows through intelligent processing.

Does V7 Go support external models?

V7 Go supports a variety of foundation models through our platform, and you can also connect your own API keys to use models of your choice. This flexible approach allows you to select the best AI models for your specific workflows.

Can V7 Go recognize printed and handwritten text?

V7 Go is capable of recognizing both printed and handwritten text, leveraging advanced optical character recognition (OCR) technologies, as well as charts, diagrams and logos.

Can V7 Go recognize printed and handwritten text?

The document generation feature is designed for both one-off tasks and fully automated, recurring workflows. Users can configure the system to trigger an entire analysis-to-document pipeline automatically. For example, when a new Confidential Information Memorandum (CIM) is uploaded to a designated folder, an AI Agent can be set to process it and generate a standardized summary deck without any manual intervention. This is ideal for scaling recurring processes such as deal screening, compliance audits, or periodic portfolio reporting.

Precision AI for institutional workflows

Build once.

Deploy across the team.

Improve over time.

Precision AI for institutional workflows

Build once.

Deploy across the team.

Improve over time.

Precision AI for institutional workflows

Build once.

Deploy across the team.

Improve over time.