Everything the platform does, and how little effort it takes to get going.
A model that doesn't know what your tables mean will answer confidently — and wrongly.
LabelingIQ crowdsources documentation, labeling, contextualization, and semantic layers — from the colleagues who work with the data every day.
Participants rate a shared list of items, and rounds iterate automatically until real agreement is reached. Natural-language scoring standardizes wording so "cust_id" and "customer ID" count as the same answer.
Participants answer once. Results are curated and summarized as they arrive — ideal when you need coverage fast rather than convergence.
Plus conditional probing logic that reveals follow-up questions based on what someone just answered.
Only participants carrying all of these tags are asked.
Target by organization hierarchy too — synced in automatically from your HR system or via Web Services.
Send the campaign to your own workforce. Nobody is paid per campaign — they answer as part of their job, earning quality points and gift-card incentives instead.
Some questions need answers from outside the building. Recruit paid participants from the public pool, matched to your campaign by the same tag targeting you just saw.
One campaign builder, either way — the only thing that changes is who gets asked, and whether they get paid.
Recruiting stops automatically once the budget can no longer cover another participant.
Each payout is scored on the same quality measure the rest of the product uses — so paying more and getting more are the same thing.
Participants can add and remove items as they go — consensus reflects genuine agreement, not a majority vote on a fixed list.
Human-verified ground truth your agents can query directly — no export, no copy-paste, no drift.
A brand-new admin can launch their first campaign the same day — with no training session.
Start crowdsourcing your labels, context, and semantic layers today.
Try LabelingIQ free for 7 days. No charge until your trial ends.
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