Fast turnaround

Fast custom data collection, without skipping QA.

A median of 48 hours from signed spec to a validated first batch where our coverage is already deep. Speed comes from a warm pipeline, not from cutting consent, review, or anonymization.
Spec to first batch
Median 48 h
Thin coverage
3–4 weeks
QA
Every item
Consent
Documented
A contributor wearing a head-mounted camera beside a graphic of the first-person feed and annotation layers it produces.
Fast because contributors, rigs, and reviewers are already in place when your spec lands.

Definition

How fast can custom AI training data be collected?

With Firsthand, the first validated batch lands in a median of 48 hours from a signed spec in environments where coverage is already deep. Thin environments such as construction, clinical, agriculture, and hospitality typically take three to four weeks, because vetting operators there is the bottleneck.

How it works

Where the speed comes from.

01

Contributors are pre-screened

Recruitment, consent, and payment rails exist before your brief does, so the first capture sessions can be scheduled within days.

02

Rigs are already in the field

Synchronized egocentric rigs and calibration procedures ship with operators, so hardware is never the critical path.

03

QA runs as data arrives

Automated checks and human review happen per batch, not at the end, so the first validated delivery does not wait for the whole program.

04

Honest timelines for thin cells

If a spec lands in an under-covered environment we say so up front and quote the real staffing time instead of a hopeful one.

At a glance

What you get.

Spec conversation
Same week
Spec to first batch
a median of 48 hours (deep coverage)
Thin environments
three to four weeks to first batch
Batch cadence
Rolling, per validated batch
Reject log
Shipped with every batch

Every collection runs through the same seven-stage end-to-end custom collection pipeline. End-to-end custom data collection is a managed service that takes an AI data need from problem to owned dataset in a single accountable pipeline.

FAQ

Fast data collection, answered.

Does fast collection mean lower quality?
No. Every item is measured against the signed accept criteria, anonymized, and reviewed before delivery. Speed comes from the pipeline already being staffed, not from skipped steps.
Which environments are fastest?
Environments where coverage is already deep, such as home kitchens, retail handling, and light assembly, reach a first batch fastest. Construction, clinical, agriculture, and hospitality take longer to staff.
Can I get a rush pilot before committing?
Yes. A Spec Pilot is a small, fast first batch that proves the spec and the accept criteria before you scale volume.

Brief the gap. Get data back fast.

Tell us what your model is missing. We will quote reach, timeline, and price against a written spec, with a first validated batch in a median of 48 hours where coverage is deep.