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V7
V7 is a London AI company that makes V7 Darwin, a data labeling platform for images, video, and medical scans, and V7 Go, an AI agent platform that reads documents for private equity, insurance, and real estate firms.
Computer vision and medical AI teams that label images, video, DICOM scans, or pathology slides, want AI-assisted segmentation and auto-tracking, and need review workflows for expert labelers.
Teams that mainly label text or LLM responses at very large scale, and buyers who want a published price list for every plan.
Verdict
V7 Darwin is a well-built labeling tool. Reviewers on G2 rate it 4.7 out of 5 and praise its interface and its auto-annotation tools, which can segment objects in CT scans, track objects through video, and copy labels across similar images. Customers include Siemens Healthineers and GE Healthcare. V7 has also moved into document AI with V7 Go, which now leads its homepage, so Darwin buyers should expect a company with two product lines. For vision and medical imaging teams, it is a strong recommendation.
Score Breakdown
These scores cover how good V7's labeling tools and automation are, how well it handles medical imaging and video, how well it manages large datasets, and how clear its pricing is, and then how it does as a company on innovation, communication, pricing, and contract terms.
Who Uses V7, Where It Fits on Price, and Its Competitors
V7 Darwin is used by machine learning teams in healthcare, life sciences, manufacturing, insurance, and logistics, and by researchers who label their own datasets. Teams set up multi-stage workflows with labeling, review, consensus, and model-in-the-loop stages, and they can hire V7's labeling services, including radiologists and pathologists, when they lack in-house experts. V7 was founded in 2018 by Alberto Rizzoli and Simon Edwardsson, raised a $33 million Series A in November 2022, and has offices in London, San Francisco, and New York.
On price, V7 sits in the middle of the labeling market. G2 lists a Basic plan at about $195 per user a month, and larger plans and labeling services are quoted. Its closest competitors are Labelbox, Encord, SuperAnnotate, and Scale AI.
Pricing
V7 lists one Darwin plan price publicly and quotes the rest. Prices are as of November 2026.
| Plan | Price | What stands out |
|---|---|---|
| Darwin Basic | About $195 per user a month | The price G2 lists for the entry plan, converted to US dollars. |
| Darwin team and enterprise plans | Quoted | More users, workspaces, SSO, and private cloud storage. |
| Labeling services | Quoted | Expert labelers, including radiologists and pathologists. |
| V7 Go | Quoted annual agreement | Priced on platform, users, and document volume. |
The Field at a Glance
How V7 compares with other human annotation and labeling vendors we reviewed, by Overall Score and relative typical engagement cost.
V7 scores 7.6 in human annotation and labeling, behind Labelbox (7.9), and ahead of Scale AI (7.4), Encord (7.3), and SuperAnnotate (6.6).
How Well V7 Fits Each Labeling Use Case
We rated V7 against the jobs teams bring to a labeling platform, drawing on G2 reviews, its Darwin product page, and its pricing page.
| Use case | Fit | Notes |
|---|---|---|
| Medical imaging and pathology | Strong | DICOM, NIfTI, and slide support, with expert labelers on request. |
| Video annotation | Strong | Auto-tracking follows objects across frames. |
| Image segmentation | Strong | Auto-Annotate and SAM2 turn complex outlines into a few clicks. |
| Managing very large datasets | Mixed | Some reviewers report lag and want more file and folder tools. |
| Text and LLM response grading | Mixed | Services cover it, but the tools center on visual data. |
| Document processing for finance | Strong | V7 Go reads data rooms, claims, and leases for private markets and insurance. |
Review Excerpts
Excerpts from public reviews of V7.
“It has automatic annotation tool like SAM, and it allows you to merge the polygons, which I find very handy.”
“Web-based annotation tools including model-assisted polygon annotation are among the best I have tried. I appreciate that they provide the option of hosting models for companies getting started with this technology. Pricing seems fair for what they are providing.”
“Video annotation is very easy and its predictive labeling tool is really easy to use. We are able to annotate massive datasets to train our ML models.”
“I would like to see a feature that allows me to split an existing polygon into multiple new polygons. Also, V7 does not allow file/folder manipulation on their website (like the operations supported by Google drive), which I find inconvenient.”
“The software doesn't allow a person to retract a submission of an annotation.”
Company Facts
- Founders
- Alberto Rizzoli (CEO) and Simon Edwardsson (CTO)
- Founded
- 2018
- Headquarters
- London, United Kingdom, with offices in San Francisco and New York
- Funding
- A $3 million seed round in October 2020 and a $33 million Series A in November 2022
- Customers
- Siemens Healthineers, GE Healthcare, and large digital pathology companies
- Website
- v7labs.com
Key Leadership
Alberto Rizzoli
Co-founder and CEO
He grew up in Rome, studied management at Bayes Business School in London, and founded V7 in 2018.
Simon Edwardsson
Co-founder and CTO
He co-founded V7 with Rizzoli in 2018 and presented its summer product keynote.
Methodology
We scored V7 on eight criteria, from labeling tools and automation to contract fairness, and the Overall Score is their simple average on a 0 to 10 scale. The scores draw on reviews from public review sites and forums, with paid reviews and pay-for-play sites excluded, plus a hands-on look at the product, its pricing, and its documentation and training. Scores can change as we add reviews and product checks.
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Sources
Facts on this page
- He grew up in Rome, studied management at Bayes Business School in London, and founded V7 in 2018: City St George's
- He co-founded V7 with Rizzoli in 2018 and presented its summer product keynote: V7
Company facts
- Founders: V7
- Founded: V7
- Headquarters: V7
- Funding: V7
- Customers: City St George's
Quote sources
- “It has automatic annotation tool like SAM, and it…” (Researcher, in a G2 review): G2
- “Web-based annotation tools including model-assisted polygon annotation are among…” (Senior Automation Engineer, in a G2 review): G2
- “Video annotation is very easy and its predictive labeling…” (Writer at a small business, in a G2 review): G2
- “I would like to see a feature that allows…” (Researcher, in a G2 review): G2
- “The software doesn't allow a person to retract a…” (V7 user, in a G2 review): G2