01.14.26
•
Avi Patel
Kled’s Opt-In Human Data Network at Scale
Kled’s Opt-In Human Data Network at Scale
Kled’s Opt-In Human Data Network at Scale
4 MIN READ
GENERAL NEWS
We built the largest opt in human data collection effort in history.
3 million files uploaded daily
200,000+ data contributors in 2 weeks
data contributors earning up to $6,400 per month
12,000+ structured datasets created spanning egocentric data, medical data (e.g., radiology scans), urban travel data, etc.
All collected through distributed human-in-the-loop capture.
Automation is the fastest-growing field since the internet.
Robotic systems, agents, and autonomous software must mimic human behavior to become useful tools for the future.
Ergo, building a large-scale network of opt-in human data contributors to train these systems is a trillion-dollar problem and the primary bottleneck to progress.
There are thousands of posts that can articulate this clearly and in depth:
We built the largest opt in human data collection effort in history.
3 million files uploaded daily
200,000+ data contributors in 2 weeks
data contributors earning up to $6,400 per month
12,000+ structured datasets created spanning egocentric data, medical data (e.g., radiology scans), urban travel data, etc.
All collected through distributed human-in-the-loop capture.
Automation is the fastest-growing field since the internet.
Robotic systems, agents, and autonomous software must mimic human behavior to become useful tools for the future.
Ergo, building a large-scale network of opt-in human data contributors to train these systems is a trillion-dollar problem and the primary bottleneck to progress.
There are thousands of posts that can articulate this clearly and in depth:
Larry Ellison, Oracle CTO
Larry Ellison, Oracle CTO
To build this network, contributors must be rewarded for their contributions.
Extracting data does not create participation where it matters, consent and incentives do.
For example: platforms like facebook sell casual user content, but they cannot compel people to upload sensitive, high-value data, like medical records or financial history, without a direct reward mechanism.
Kled ai is the consumer application layer that drives participation towards data that matters; And rewards users for their participation in uploading that data.
To build this network, contributors must be rewarded for their contributions.
Extracting data does not create participation where it matters, consent and incentives do.
For example: platforms like facebook sell casual user content, but they cannot compel people to upload sensitive, high-value data, like medical records or financial history, without a direct reward mechanism.
Kled ai is the consumer application layer that drives participation towards data that matters; And rewards users for their participation in uploading that data.
kled launched with no waitlist ≈3 weeks ago and is now the fastest growing app in 14 countries, hitting #1 on the app store in markets like malaysia.
The average kled user is uploading more data per day than the average instagram, facebook, tiktok, snapchat, and x user.
0 external ad spend, just a referral bonus for signing up friends. 150 million impressions across viral posts on all platforms in 3 weeks.
Top earners are making up to $6,400 per month for contributing high-fidelity data. $10,000 by end of q1.
Pmf: people are more than just willing, but they are eager to upload their data if they get paid for it.
Privacy law and compliance with HIPAA, GDPR, and related regulations are top of mind. ML systems are built to anonymize and remove sensitive information from uploads.
Once sensitive data is removed and originality is confirmed, fine-tuned multimodal models are run to label the data.
The result is clean, labeled human datasets that can be tailored for model training at scale.
Radiology scans, urban mapping, in-home egocentric tasks, etc.
Eval sets are continuously built to surface model failures and identify the specific data required to close those gaps.
Kled then actively steers contributor participation toward producing those high-value human datasets.
kled launched with no waitlist ≈3 weeks ago and is now the fastest growing app in 14 countries, hitting #1 on the app store in markets like malaysia.
The average kled user is uploading more data per day than the average instagram, facebook, tiktok, snapchat, and x user.
0 external ad spend, just a referral bonus for signing up friends. 150 million impressions across viral posts on all platforms in 3 weeks.
Top earners are making up to $6,400 per month for contributing high-fidelity data. $10,000 by end of q1.
Pmf: people are more than just willing, but they are eager to upload their data if they get paid for it.
Privacy law and compliance with HIPAA, GDPR, and related regulations are top of mind. ML systems are built to anonymize and remove sensitive information from uploads.
Once sensitive data is removed and originality is confirmed, fine-tuned multimodal models are run to label the data.
The result is clean, labeled human datasets that can be tailored for model training at scale.
Radiology scans, urban mapping, in-home egocentric tasks, etc.
Eval sets are continuously built to surface model failures and identify the specific data required to close those gaps.
Kled then actively steers contributor participation toward producing those high-value human datasets.
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A Nitrility Inc. Company
Kled AI © 2026
The Leading Data Marketplace.
Support
A Nitrility Inc. Company
Kled AI © 2026
The Leading Data Marketplace.
Support
A Nitrility Inc. Company
Kled AI © 2026