Zentropi: Build Your Own Content Labeler in Minutes, Not Months

After previewing Zentropi to broad acclaim at TrustCon, we are officially opening up our build-your-own-content-labeler platform to everyone. Go to zentropi.ai to check it out!

The Universal Challenge

Zentropi tackles a critical challenge that all teams face when safeguarding their digital platforms: how to label content quickly, cheaply, accurately—and by their own rules. This is a universal problem, whether you're building content moderation systems, aligning new AI models, deploying a chatbot, or creating new feed algorithms.

Traditional approaches have involved either training machine learning classifiers (which is time-consuming and brittle), or trying to use large language models (which are expensive and often inaccurate). Policy changes end up requiring weeks of model retraining, and only organizations with significant ML resources can build effective systems. Meanwhile, systems need protection today, not months from now.

To make matters worse, it's extremely difficult for teams to even articulate what policy they want their labelers to follow, so they're typically forced into using off-the-shelf classifiers that impose their own definitions.

Our Innovation: Policy-First Architecture

Zentropi addresses all these issues with a fundamentally different approach. We've created a unified system that tackles both sides of the coin: accurately interpreting a given set of policy criteria as well as helping people craft policies that are machine interpretable.

Instead of teaching a model a specific policy, we developed CoPE—a best-in-class small language model capable of faithful policy interpretation. Your team writes policies in plain English. CoPE then enforces them consistently at scale. As policies evolve, implementation updates instantly.

It was not an easy task to get here. After nearly two years of research, we created a novel methodology that enabled us to build CoPE as our engine. We then created an agentic system that helps people rapidly draft, test, and optimize their policies—including suggestions for both where their criteria and their labels could improve.

The Numbers That Matter

The results speak for themselves:

• Accuracy: F1 scores exceeding 90% with automated optimization
• Speed: ~150ms classification latency on standard infrastructure
• Policy development: From months to minutes

Since CoPE is a small model (only 9B parameters), it's fast and cheap to run at inference time, making it suitable for real-time systems that operate at internet scale.

Real-World Impact

We have just been floored by the feedback we've gotten from our design partners this year. We've seen teams who lack their own in-house policy expertise rapidly create labelers and go from a starting accuracy of ~60% to over 90%—wholly assisted by Zentropi's automated optimizations. And then with one click they've instantly deployed their labelers into production. The consistent feedback: teams can finally focus on policy strategy rather than implementation constraints. This simply was not possible before.

Get Started Today

Community Edition (Free)

• Full policy builder access
• Unlimited labeler creation
• Real-time testing capabilities
• No credit card required

Enterprise Edition

• Automated optimization achieving 90%+ accuracy
• Zero-logging API with complete data privacy
• Priority support and SLAs
• Early access to extended context models

Building a More Trustworthy Future

After seeing partners put Zentropi into production and witnessing its real-world impact, we are inspired to make this technology available to as many teams as possible. That is why we are now opening it up to everyone. We want to do our part to help create a world where AI-powered systems are maximally trustworthy. 

The best way to understand the power of Zentropi is to go try it yourself—so head over to zentropi.ai and let us know what you think! For organizations ready to transform the quality of their platforms, our enterprise team is available to discuss your specific requirements. Just drop us a line at info@zentropi.ai. 

We look forward to seeing how your organization uses Zentropi to build a better internet!