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Human data collection

Collect human data on autopilot.

Tell us what you need and who should collect it. Our AI coordinates real people, reviews every submission, and delivers clean, structured data.

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How it works

From question to dataset in four steps.

You decide what good data looks like. We handle the people, logistics and quality checks in between.

  1. Define the data and the people

    Describe what to capture and who should capture it. Shelf photos from 200 grocery stores in Texas. Voice clips from native Portuguese speakers. Interviews with night-shift nurses.

  2. Our AI runs the collection

    It briefs matching people, coordinates who goes where, and reviews every submission against your spec. Anything blurry, off brief or incomplete goes back for a redo.

  3. Watch progress live

    See submissions arrive as people finish them: how many are in, where they came from, and what passed review.

  4. Get structured data

    Receive the reviewed results in the format you asked for, such as CSV or JSON, with every photo, recording and note linked to its row.

What you see

Progress while it runs. Clean data when it lands.

Both panels show a sample project to illustrate the experience. They are not live data.

Live progress view
Example

Grocery shelf audit, Texas

128 of 200 stores submitted

Approved
107
In review
14
Sent back
7
  • Austin, TXShelf photos and pricesApproved
  • Dallas, TXShelf photos and pricesIn review
  • Houston, TXPhoto too blurrySent back
Delivered as JSON or CSV
Example
{
  "store_id": "TX-0142",
  "city": "Austin, TX",
  "product": "Oat milk, 64 oz",
  "price_usd": 4.79,
  "shelf_position": "eye level",
  "facings": 3,
  "photo_url": "https://files.example.com/tx-0142.jpg",
  "review": "approved"
}

One reviewed row per submission, with photos, recordings and notes linked by URL.

What people collect

Data only people can gather.

  • Two men in office clothes walking past a building, one reading a newspaper.

    Field photos

    Storefronts, shelves, signage and street conditions, shot to your checklist.

  • A scientist in a lab taking notes on a clipboard.

    Retail and local observations

    Prices, stock, placement and opening hours, logged place by place.

  • A man sitting on the floor among scattered papers, talking on the phone.

    Voice and video

    Recordings in specific languages, accents and settings, checked for quality.

  • A person lit by a laptop screen, working through an app.

    Participant research

    Interviews, diary studies and product tests with the people you need to hear from.

Human data on autopilot

Tell us what you need to know.

One call to scope the data, the people and the format.

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