Pricing plans

Pricing That Works With You as You Scale

Darwin
Go

Accelerate the creation of accurate training data with Darwin.

Automate multi-modal tasks at scale using Gen AI, with Go.

Basic
Free
Try V7 for free, with up to 1,000 files and 3 seats.
1,000 files
3 seats
1 workspace
Basic
Free
Try Go for free, with 50K platform tokens, 250 fields, and up to 10 seats.
250 fields
50k platform tokens
20 properties per project
10 seats
1 workspace
Monthly
Annually
Starter
-20%
$499/month
$5,000/year
Perfect for small teams or single deployments working with images.
Everything in Basic, plus:
50,000 files
Intercom support with rapid response time
3 seats, 1 workspace, and the option to add on extra seats
Business
Talk to Sales
Scaleable training data operations across any data modality.
Everything in Starter, plus: 
1M files
All data modalities: videos, medical files, and images
15 seats and 1 workspace
3 storage integrations
Pro
Talk to Sales
Power collaborative workflows across multiple departments.
Everything in Business, plus:
4M files
60 seats and 4 workspaces
9 storage integrations
VPC integration
8 solutions engineering hours
Monthly
Annually
Pro
-20%
$249/month
$2,390/year
For individuals looking to automate tasks with foundation models.
Everything in Basic, plus: 
25K fields
12M Go tokens/year
Unlimited properties
10 seats
1 workspace
Enterprise
Talk to Sales
Enterprise-wide deployment of accelerated training data creation.
Everything in Business, plus: 
10M+ files
150 seats and 10 workspaces
30 storage integrations
VPC integration
20 solutions engineering hours
Enterprise
Talk to Sales
Custom packages and deployment for AI automation at scale.
Everything in Pro, plus a customised approach to:
Fields
Tokens
Seats
Workspace
Paid V7 plans include unlimited use of Datasets, Workflows, Annotation, autoML, and the DarwinPy SDK and APIs.
Basic
Free
Get started
Monthly
Annually
Starter
$499/month
$5,000/year
Get started
Business
Talk to sales
Contact sales
Pro
Talk to sales
Contact sales
Enterprise
Talk to sales
Contact sales
Contact sales
Collaboration
Workspace
1
1
1
4
10
User Seats
3
3
15
60
150
Add ons
Extra Admin
Extra Worker
Extra Workspace
Extra Files
Product Limits
Files
1k
50k
1M
4M
10M
Workflow Stages
Registered models
Unlimited
Unlimited
Unlimited
Video
10
10
Unlimited
Unlimited
Unlimited
DICOM
10
10
Unlimited
Unlimited
Unlimited
Storage Integrations
Unlimited
Unlimited
Unlimited
VPC Integration
SSO/SAML
2FA Enforcement
Support
Intercom Support
Dedicated CSM
Solutions Engineering Hours
2
8
20
BYOM Model Integration Support
MSA / SLA / Custom Terms
Basic
Free
Get started
Monthly
Annually
Pro
$249/month
$2,390/year
Get started
Enterprise
Talk to sales
Contact sales
Contact sales
Usage
Fields
250
25,000
Custom
Tokens
50k Go tokens
12M Go tokens/year
Custom
Properties/project
20
Unlimited
Unlimited
Seats
10
10
Custom
Features
Command queue priority
Bring your own Key
Security
SAML Single Sign-On (SSO)
Custom data retention
Billing
Billing method
Card only
Invoice or card
Payment frequency
Monthly or annually
Annually
Enterprise SLAs
Support
Technical support
Intercom chat support
Customer Success Manager
Suchet Bargoti
Suchet Bargoti
CTO of Abyss Solutions
We label terabytes of data and from the operations perspective, the scale of the projects requires a reliable training data platform like V7 to succeed.
Read case study ->
Maleeha Nawaz
Maleeha Nawaz
Manager of Quality and Data Curation
After conducting an extensive research of annotation tools, we chose V7 as it fits our needs best due to its customizable workflows and automated QA.
Read case study ->
Raman Muthuswamy
Raman Muthuswamy
Director, Translational Research at Genmab
We use V7 to make our annotation and model training workflows more efficient. It's much easier to use than other software thanks to its intuitive UI.
Read case study ->
Save months on development

Build VS Buy

How switching to a dedicated platform can double your ML team's output.

Internally-built solution
$12,000+ in cloud fees
$300k+ in development costs
$120k in maintenance
No dedicated support team
No MLOps integrations
No integrated outsourcing system
Critical dependency on 2-3 employees who built the tool’s codebase
Using V7
99.9% Uptime
Automated data labeling
20min average for tech support
Integrated foundation models
Labelers available in a few clicks
Customer Success for Labeling
Built in Elixir for ultra-scalable performance
VS
Platform comparison

Compare V7 to Other Labeling Tools

Frequently
Asked Questions

Reach out to our sales team for further questions.
How do the limits of the Pro plan work?

The Pro plan is limited on fields (what you would call ‘cells’ in a spreadsheet) and Go tokens, which are consumed when you use AI models. The field limit does not refresh, while your token allowance resets on the same cadence as your billing cycle, either monthly of yearly. While both fields and tokens are a hard limit, they can be increased by expanding your plan.

Is V7 Go part of V7 Darwin?

V7 Darwin is a data labeling platform for annotating videos and medical imaging to train your own model, while V7 Go specializes in applying foundation models to multimodal data, starting with intelligent document processing. In time they will be natively connected.

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.

Does V7 Go support external models?

V7 Go will support external models via API, allowing for a flexible approach to document processing by incorporating both in-house and third-party AI models.

What is a Go token?

Go tokens are standardized units obtained by converting tokens from various model providers into a single measure. More expensive models consume Go tokens at a faster rate than cheaper models. While Go tokens are metered and limited as part of a billing plan, the primary limit is on fields.

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.

What types of data can be processed by V7?

V7 can process various types of data, including images, medical imaging files, videos, volumetric series, and documents. The exact types of data that can be processed may depend on the specific use case and requirements. However, V7 supports the majority of visual data formats.

Can I test V7 before making a purchase?

Yes, V7 provides a complimentary free tier that lets you explore some of its basic features and capabilities. However, to access the full suite of advanced functionalities and harness the platform’s complete potential, it is worth considering one of the paid plans. You can see the full feature breakdown and pricing of V7 here.

Is V7 a free image annotation tool?

V7 is a subscription-based service. The pricing of our paid plans depends on your organizations use case, data requirements, and any add-on options, such as our managed labeling services. Please contact our sales team for more information.

Is my data secure on V7?

Yes your data is secure with V7. We take data security very seriously. Go to V7 Data Processing & Security to learn more about how we keep your data safe.

Frequently
Asked Questions

Reach out to our sales team for further questions.
How do the limits of the Pro plan work?

The Pro plan is limited on fields (what you would call ‘cells’ in a spreadsheet) and Go tokens, which are consumed when you use AI models. The field limit does not refresh, while your token allowance resets on the same cadence as your billing cycle, either monthly of yearly. While both fields and tokens are a hard limit, they can be increased by expanding your plan.

Is V7 Go part of V7 Darwin?

V7 Darwin is a data labeling platform for annotating videos and medical imaging to train your own model, while V7 Go specializes in applying foundation models to multimodal data, starting with intelligent document processing. In time they will be natively connected.

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.

Does V7 Go support external models?

V7 Go will support external models via API, allowing for a flexible approach to document processing by incorporating both in-house and third-party AI models.

What is a Go token?

Go tokens are standardized units obtained by converting tokens from various model providers into a single measure. More expensive models consume Go tokens at a faster rate than cheaper models. While Go tokens are metered and limited as part of a billing plan, the primary limit is on fields.

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.