Encord

London, United Kingdom · Founded 2019 · Privately Held (backing)

Developer of a multimodal data labeling, curation and evaluation platform intended to automate manual annotation for computer vision. Encord is based in London, United Kingdom and was founded in 2019. Its last reported valuation was $104 million in Oct 2021. It has raised $111 million.

Last reported valuation
$103.7M
Oct 2026
Priced at
—
Total raised
$111.3M
Last round
—

Encord key facts

as of Oct 2026
  • Developer of a multimodal data labeling, curation and evaluation platform intended to automate manual annotation for computer vision.
  • Encord is valued at approximately $103.7M as of Oct 2026 (last reported valuation).
  • It has raised $111.3M; the latest was Later Stage VC ($60.0M) in Feb 2026.
  • Notable investors include Y Combinator, Liquid 2 Ventures, CRV, WndrCo, Crane Venture Partners — 14 tracked in total.
  • Status: Privately Held (backing).
Last reported valuation
LOW confidence
$103.7M

Encord's last reported valuation, Oct 2021. Nothing priced has surfaced since.

set by last reported valuationas of Oct 2026question about this number?
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Encord funding rounds

No rounds on record

No funding rounds for Encord are on record yet — either the company hasn't raised institutional capital, or the raise hasn't surfaced in our sources.

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Encord valuation

Encord's last reported valuation was $104 million in Oct 2021. No priced round, secondary trade or fund mark has surfaced since.

Encord investors

14 investors are on record for Encord, including Y Combinator, Liquid 2 Ventures, CRV and WndrCo. By type, the record holds 5 venture capital firms, 1 asset manager and 1 fund of funds.

About Encord

Developer of a multimodal data labeling, curation and evaluation platform intended to automate manual annotation for computer vision. The company's platform offers artificial intelligence-assisted tools for collaboratively annotating data, orchestrating active learning pipelines, fixing dataset errors, and diagnosing model errors and biases, enabling data scientists and researchers to algorithmically solve the problem of annotating training data for machine learning applications and avoid hours of manual labeling.

Sector
Information Technology
HQ
London, United Kingdom
Founded
2019
Employees
151
Ownership
Privately Held (backing)

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