Vendor profile · Directory · Platform
V7
The London platform company behind Darwin — AI-assisted visual annotation with a low-cost self-serve entry — now also selling document-workflow agents as V7 Go.
| Model | Darwin annotation platform + V7 Go document agents |
|---|---|
| Founded | 2018 |
| Headquarters | London, United Kingdom |
| Pricing | Partially published — starter from $29/mo reported; Darwin from £150/user/mo (G2); enterprise quoted |
| Website | www.v7labs.com |
What V7 does
V7 was founded in London in 2018 by Alberto Rizzoli and Simon Edwardsson. Darwin, its annotation platform, covers images, video, documents, DICOM medical imaging and 3D point clouds, with model-assisted labeling (including SAM integration) and workflow automation; it raised a $33M Series A led by Radical Ventures and Temasek in 2022.
Pricing is partially published: a self-serve starter is reported from $29/month, with Darwin plans listed from £150/user/month on G2 and enterprise tiers quoted. The newer V7 Go line sells AI agents for document-heavy processes in finance, legal and insurance — adjacent to, not part of, the annotation business.
Strengths
- Low published entry price for a commercial platform
- Strong AI-assisted labeling and medical-imaging support
- Mature workflow and review tooling
Considerations
- Strategic center is drifting toward V7 Go document agents — annotation buyers should confirm Darwin roadmap commitment
- Full pricing still requires quotes beyond entry tiers
- Visual/document data only
Other platforms in the directory
- Labelbox — The platform pick: run annotation in-house on published usage pricing, and bolt on expert services (Alignerr) only where you need them.
- Prolific — The transparency benchmark: a self-serve participant platform with fully published pricing and an enforced participant pay floor.
- Kili Technology — A Paris-built enterprise platform for annotation and LLM evaluation, sold to regulated industries that need data quality controls more than raw labeling volume.
- SuperAnnotate — A multimodal annotation platform that has grown an expert-services arm (SME) hiring domain specialists for AI training and evaluation work.
- Encord — A data infrastructure platform — Annotate, Index, Active — built for physical AI: robotics, autonomous vehicles and sensor-heavy multimodal data.
- CVAT — The open-source annotation workhorse: born at Intel, now run by CVAT.ai as a free self-hosted Community edition plus paid cloud and enterprise tiers with published prices.
- Label Studio (HumanSignal) — The most popular open-source labeling tool — multimodal by design — with HumanSignal selling cloud and enterprise editions and optional expert data services.
- Lightly AI — An ETH Zurich spin-off built on one idea: label less, but label the right data — curation and self-supervised pretraining first, annotation second.
- BasicAI — A platform-and-services company built around multi-sensor data — LiDAR fusion annotation for automotive and robotics is its home ground.
- Dataloop — An Israeli data-pipeline and annotation platform with a strong autonomous-vehicle story — acquired by Dell Technologies in December 2025.
Frequently asked questions
What does V7 do?
The London platform company behind Darwin — AI-assisted visual annotation with a low-cost self-serve entry — now also selling document-workflow agents as V7 Go.
How much does V7 cost?
V7 publishes pricing: Partially published — starter from $29/mo reported; Darwin from £150/user/mo (G2); enterprise quoted. Confirm current terms on the vendor's site before budgeting, as vendors change plans.
Who is V7 best for?
Small-to-midsize vision teams that want a polished, AI-assisted annotation tool without an enterprise sales cycle.
Who should not use V7?
Buyers needing the labeling workforce included — Darwin is software; services are not the offer.
Sources
- Kognic vs V7: annotation platform comparison (pricing, founding) — Kognic (2026)
- V7 Darwin pricing — G2 (2026)
Facts on this page were drawn from the public sources above, checked November 2026. If you spot an error, tell us at the corrections address in the footer — we fix sourced errors and note the change.
Profile last updated: November 8, 2026 · How we write profiles · Corrections: [email protected]