# How Zeitview uses Encord

**12.33%** increase in recall

As published on [encord.com](https://encord.com/customers/zeitview/), March 2026. Captured by usedby on 2026-10-07.

- Company: [Zeitview](https://www.usedby.ai/companies/zeitview.md)
- Tool: [Encord](https://www.usedby.ai/tools/encord.md)
- Industry: [Energy, Utilities & Cleantech](https://www.usedby.ai/companies/industry/energy-utilities-cleantech.md)
- Teams: AI/ML

## The use case: how Zeitview deploys Encord

Zeitview uses Encord to label and quality-check training data for its rooftop penetration detection models. It also uses the platform's image similarity search and image quality metrics to curate datasets, and runs a multi-round QA workflow that involves ML engineers in the review process.

Summary written by usedby from the source page, in English. The figures are those of Encord and Zeitview, not ours.

> Zeitview moved from spreadsheet-based feedback to a three-round QA workflow built within Encord, integrating ML engineers directly into the review process. As label accuracy improves, they are able to gradually reduce human oversight.

- **3.67%**: “3.67% boost in precision”
- **2x**: “2x increase in dataset size and throughput”

> The most valuable feature to us is the automated QA workflow that forces the ML engineers to be more incorporated into the labeling process.
>
> Conor Wallace, ML Engineer at Zeitview

Source: [encord.com](https://encord.com/customers/zeitview/), captured 2026-10-07.

## Other companies using Encord

- [Archetype AI](https://www.usedby.ai/companies/archetype-ai.md) — Confirmed
- [Hudl](https://www.usedby.ai/companies/hudl.md) — Confirmed
- [OnsiteIQ](https://www.usedby.ai/companies/onsiteiq.md) — Confirmed
- [Pickle Robot](https://www.usedby.ai/companies/pickle-robot.md) — Confirmed
- [Standard AI](https://www.usedby.ai/companies/standard-ai.md) — Confirmed
- [Thoro.ai](https://www.usedby.ai/companies/thoro-ai.md) — Confirmed

## What usedby checked

We compared the story with its live page on 2026-10-07.

- Checked: the figure 12.33% is on the page; its label is our wording.
- Checked: the passage quoted above is copied word for word from the page, near the name of Zeitview.
- Checked: the publication date is read from the page’s own metadata, never guessed.
- Checked: Zeitview uses Encord. Confirmed line. Latest check across sources: 2026-10-19.
- Not checked: the result itself. We quote it; we did not measure it.

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Source: https://www.usedby.ai/case-studies/zeitview-encord · How we check: https://www.usedby.ai/methodology