Kled-FD processes every modality through a unified scoring system and rejects fraud at an unprecedented scale, surpassing the capabilities of any human-in-the-loop process.
The challenge wasn’t in individual capabilities, but in the layer that facilitates their agreement.
Clean data remains the bottleneck for the next decade of AI, and we have successfully built the filter to address this issue.
Introducing Kled-FD 0.1, the world's best fraud detection and dataset cleaning pipeline.
The first all in one system capable of detecting AI generated content, near duplicates, stolen and plagiarized media, screenshots, manipulated and spliced content, NSFW and explicit material, minors and age sensitive content, sensitive and harmful content, and coordinated behavioral fraud rings.
Kled-FD 0.1 has been battle tested across 1.2 billion uploads on Kled's data marketplace and is actively running quality checks on over 5 million uploads per day across image, video, audio, and text.
Public benchmarks will be released soon. This is the first real step toward making data quality enforcement a humanless process.
For @WIRED, spoke with @avipat_ and @williamnamgyal about the future of gig work and robotic data collection.
If you’re not already selling your data, you probably will be soon.
https://t.co/uU4Hdp8Ody
Vous vous souvenez d'@AxieInfinity ?
En 2021 le projet avait fait un X150 et tout le monde en parlait
Aujourd'hui je vous fais un thread sur #KLED qui possède selon moi le même potentiel pour le prochain bullrun 🧵👇
🧵 The $KLED Institutional Thesis: Why smart money is accumulating a $13M microcap.
1. The "Data Wall" is officially the biggest bottleneck in AI. Frontier models are running out of internet data to scrape, and legal copyright battles are forcing labs to pay for legitimate licensing.
Enter- @useKled an operational human data marketplace.
2. While retail is chasing meme coins, institutional capital is silently moving in.
European crypto hedge fund Sigil Fund —known for their deep research-driven, insider-led strategies—has started aggressively purchasing and accumulating $KLED.
3. Why? The business value and revenue pipeline are absurd for a token at this market cap.
Kled already has over 3M hours of licensed video content and has confirmed pipelines exceeding $35M from top AI labs. But the real catalyst? Compliance.
4. Kled is actively finalizing its compliance frameworks (GDPR, HIPAA, SOC2).
Once cleared, they have a massive $100M pipeline enterprise deal they are positioned to close, paving a clear trajectory to scale the business well past a $1B valuation floor.
5. To understand how massively undervalued $KLED is, look at the private markets:
Kled’s direct copycat, Luel AI, just raised a staggering $31.2M seed round led by General Catalyst and Lightspeed.
Luel's massive raise validates exactly what Kled is building—except Kled already has a live product with hundreds of thousands of active users, and thousands of reviews on the App Store with high ratings (4.7-4.9 stars).
When a regulated institutional fund like Sigil front-runs a $100M corporate pipeline on an asset with an engineered buyback-and-burn mechanism, you pay attention.
6. Let’s do some napkin math on what happens the moment tokenomics go live on the app.
- To unlock higher-paying data tasks, users pay a one-time $20 fee to upgrade their account XP.
If just 100k of Kled's global users upgrade, that generates $2,000,000 in immediate token buyback pressure, 50% burnt instantly. At current prices, that initial $2M user-upgrade surge alone would instantly buy back and burn roughly 15% of the entire circulating token supply straight off the launch.
With this level of real-world volume and a massive global app user base, Tier-1 CEX listings are practically a no-brainer.
Exchanges want volume, and Kled has an organic pipeline of it.
7. More importantly, the team needs a T1 CEX listing.
To accommodate major fund exposure from players like Sigil, Maven11, etc, liquidity depth is non-negotiable. Getting $KLED on primary institutional venues is a core priority for everyone involved.
In a market full of vaporware, $KLED is a fundamentally engineered value accrual machine.
Be patient, give it a few months to play out as compliance clears and the tech drops. This is a multi-dollar token hiding in plain sight.
Full thesis, and tokenomics breakdown here: https://t.co/63V7tduHAD
Full Tokenomics:
https://t.co/gtAWzH9OzC
📊 $KLED
PSA - AI did support in writing this and I’m lazy as fuck and did it in 20mins, so it isn’t perfect, there may be some minor errors.
https://t.co/aVenNnTucS raised $31.2M. The datasets, ARR, and jobs don't reconcile.
Not a leak. Their own public product surface.
Luel's datasets, ARR, and contributor jobs don't reconcile.
🧵 https://t.co/JzARz1N78J
I just found out that Luel AI, the company that completely copied my company Kled's entire website, is misrepresenting their compliance practices, using Delve to outsource it, fabricating their website user numbers, and pulling in massive amounts of fraud data from exclusively fraud oriented regions.
Skip to 1:15 if you want to skip context.
You truly cannot make this up. This is egregious, disgusting behavior from everyone involved.
This is people's data. It cannot be taken lightly. The only way a company like this can truly succeed is by investing the time and resources to commit 100% to the trust and compliance of their users' data. Luel AI is doing the exact opposite. Disgusting behavior for a company trusted with people's data.