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Perle Labs
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Perle Labs
@PerleLabs
Building the sovereign intelligence layer for AI. $17.5M backed by @hiFramework, @coinfund, @HashKey_Capital, and more. Supported by @PerleFDN.
- What do you think will be the biggest unlock for better AI over the next few years?
- Perle in NYC 🗽 Our team will be at @ethconf by @ETHGlobal next week. If you're attending, come say hi 👋 We'll be around throughout the event meeting builders, teams, and anyone interested in the intersection of AI and human intelligence. See you there.
- Replying to @PerleLabsAt Perle, this is the future we are building toward: ✅ Expert-validated data. ✅ Reputation-based contribution. ✅ Transparent incentives. ✅ Human expertise that compounds over time. Because the next era of AI will depend on better systems for finding, verifying, and
- Replying to @PerleLabsThe next generation of AI data infrastructure should work differently. Contributor history should be tracked. Domain specialization should be visible. Reputation should compound over time. Access to higher-value work should be tied to demonstrated quality. That is how an expert
- Replying to @PerleLabsThe problem is that most AI data systems were not designed to recognize expertise over time. A contributor completes a task, gets paid, and moves on. Their accuracy, specialization, and reliability often do not compound into a persistent reputation. That is not just a
- Replying to @PerleLabsIn medicine, law, robotics, security, and policy, the quality of the data depends on the quality of the judgment behind it. A clinician reviewing clinical data is not interchangeable with a random worker. A legal expert evaluating a contract is not interchangeable with a
- Replying to @PerleLabsTraditional data annotation was built for volume. Large task pools. Low cost per task. Anonymous contributors. Limited attribution. Minimal long-term reputation. For simple labeling work, that model helped AI scale quickly. But high-stakes AI needs something different.
- There’s a quiet shift happening underneath AI development. The most valuable training data is no longer just labeled at scale. It is reviewed, validated, and improved by people with real domain expertise. A thread on why the next era of AI data needs an expert economy 👇
- Happy new month fam! Don’t forget there’s a new task live on the app as of last week. Check it out if you haven’t yet 👀👀 app.perle.xyz
- Replying to @PerleLabsAt Perle Labs, this is the foundation we are building toward: Expert-validated. Human-verified. On-chain auditable. Because the next era of AI will not only depend on better human feedback. It will depend on whether that feedback can be traced, verified, and trusted.
