Hey there! We are Yi and Bill, from Besimple AI! Struggling with data annotation? Keep reading!

💎 TLDR

With Besimple, you can generate your own platform for annotating AI eval and training data instantly.  Simply paste or stream any type of raw data and we'll instantly generate a tailored annotation interface, clear guidelines, an automated human-in-the-loop workflow, and AI judges to scale your insights.

https://www.youtube.com/watch?v=Hw-EVKdOhds

❌ The Problem

High-quality, human-reviewed data is essential for improving AI models. But teams today face significant challenges:

• Complex LLM Workflows: Most AI startups and even the largest AI companies use spreadsheets for annotations to “move fast”. It is brittle. And it breaks down quickly for dynamic, multimodal, agent-based LLM use cases.
• Annotation Bottlenecks: As models get better, only domain experts and someone on your team can improve model performance.  They quickly get overwhelmed when guidelines and data change constantly. This is expensive and slows model iteration.
• No Feedback Loop: After a model ships, interesting production data isn’t automatically fed back into evaluation or training, missing opportunities for ongoing improvement.

✅ Our Solution:

1. Instant custom UI: Just paste or stream your data and we create a custom annotation UI for your task.  We support text, chat, audio, video, LLM traces, and more.
2. Tailored guidelines: Import any existing guidelines or we will draft new ones aligned with your business goals, ready for annotation
3. AI Judges for real-time evaluation: LLM-based “judges” continuously learn from incoming annotations to evaluate live traffic and flag borderline cases for human review.
4. Enterprise-grade deployment: On-prem optional install, and robust user management for internal SMEs, external vendors, or Besimple’s vetted annotators.
5. Lightning fast setup: No code, no plugins—just drop in your data, set guidelines, and you’re good to go.

Traction: The leading AI grading company Edexia uses besimple to annotate hundreds of decisions and improve their evals.

The Team

We’re Yi Zhong and Bill Wang —who built the annotation platform for Meta’s Llama models. We founded Besimple AI to help everyone spin up a Scale AI in 60s.

🙏 Our asks

We’re on a mission to make continuous, high-quality data the easiest part of AI development. If that resonates, let’s chat!

1. Reach us at founders@besimple.ai
2. Book demo here.
3. Or join our self-serve waitlist on our website!

We’ll show you how to launch a custom annotation platform in under a minute!