Updated 9 Nov 2026
Encord vs V7, by the numbers.
Encord is ranked, on $90M raised; V7 is not ranked, since most of its business is AI workflows for finance and insurance and its AI data revenue is not reported apart.
Both sell labeling software, annotation and expert and human data. Only Encord sells datasets and evaluations and benchmarks. Every figure below is linked to the filing or article it comes from; what each sells is in its own words, from its own pages.
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Side by side
Revenue over twelve months, the newest valuation, disclosed funding and what each says it does.
| Encord | V7 | |
|---|---|---|
| Encord | V7 | |
| Place on the rankings | #26 of 91 | Not on record |
| Ranked on | $90M Money raised, disclosed | Not on record |
| Revenue, twelve months | Not on record | Not reported apart from its AI workflows for finance and insurance |
| Newest valuation | Not on record | Not on record |
| Disclosed funding | $90M in 2 records | $33M in 1 record |
| Sells | Labeling software, Annotation, Expert and human data, Datasets, Evaluations and benchmarks | Labeling software, Annotation, Expert and human data |
| Works on | Images and video, Robotics, Medical, Business work, Finance, Speech and audio | Medical, Images and video, Languages, Finance |
| Made from | Made by experts and contractors, Recorded from people and the real world, Generated | Made by experts and contractors |
| Takes data from companies | Does not say so | Does not say so |
| Headquarters | London, UK and San Francisco, California, US (dual headquarters) | Not on record |
| Founded | 2021 | Not on record |
| In its own words | “Access expert annotators, domain specialists, and managed collection pipelines - fully integrated with the Encord platform.” Its page | “Large language model labs rely on V7’s data labeling services” Its page |
- The rule.
- Each company is ranked on the first of these it has on record: its revenue over twelve months (a run rate or a year as published, or its last four quarters added up; an AI segment where the rest of its business is not AI data), then its newest valuation, then the money it disclosed raising. No company pays for a place. The full method and every change to it.
- Twelve months.
- A run rate or ARR is the company's own annualised figure; a year is the year it published. Gross revenue of a human data company includes what it pays its experts.
- Pays companies for data.
- "Through our introductions": it takes companies' data through AIData.Broker's introductions and pays us a referral fee when one goes ahead. That never moves its place: the order is the money on record. "Its own programme": a published programme for buying data. "Says it buys data": its own words, linked.
- Why this pair.
- People search for this comparison: Google suggests it, read on 9 Nov 2026. Neither company asked for or paid for this page.
The latest money moves
The newest rounds, valuations and revenue figures of the two, each linked to its record.
- 26 Feb 2026Encord raised $60M
- 13 Aug 2024Encord raised $30M
The questions people ask
- Is Encord bigger than V7?
- Encord is ranked, on $90M raised; V7 is not ranked, since most of its business is AI workflows for finance and insurance and its AI data revenue is not reported apart.
- What is the difference between Encord and V7?
- Encord sells data annotation, expert data collection, and evaluation services, plus a data platform, to AI teams building physical and multimodal AI. V7 sells a data labeling platform and expert labeling services to teams building AI models, and separately sells workflow automation to finance and insurance firms. Both sell labeling software, annotation and expert and human data. Only Encord sells datasets and evaluations and benchmarks.
- Which raised more money, Encord or V7?
- Encord: $90M disclosed. V7: $33M disclosed.
- Do Encord and V7 buy data from companies?
- Encord does not say it buys data from companies. V7 does not say it buys data from companies.
More comparisons
Each company against its whole field, and the other comparisons people search.