Besimple AI
Expert-in-the-loop eval data for AI
Besimple AI helps teams ship AI with confidence by making high-quality, human-in-the-loop data fast, flexible, and scalable. We’re not a generic annotation vendor—we’re your on-demand evaluation and safety data engine. In under a minute, you can spin up your own data-annotation workspace tailored to your workflow, so your team can move from “we think it works” to measurable, repeatable results.
Modern AI changes quickly. Models evolve, prompts shift, and new edge cases appear the moment you go live. Besimple is built for that reality. Our platform generates task-specific annotation experiences aligned to your data and goals, so you can capture reliable judgment on everything from factuality and safety to preference and policy compliance. The result is an always-current evaluation loop that keeps pace with your product, rather than a one-off test that goes stale.
We specialize in evaluation and expert-grade safety data—not commodity labeling. That means we recruit and train domain experts and SMEs to judge model outputs against high bars, and we design the interfaces and guidelines to make those judgments consistent, auditable, and useful for both offline evals and production monitoring.
Your team shouldn’t be waiting on back-and-forth specs and custom tooling. With Besimple, you can paste or stream your data, click to generate a tailored interface, and start collecting ground truth right away. When the task changes, the UI adapts with it.
We combine pragmatic product design with a human-in-the-loop operating model. Besimple helps you create clear, actionable guidelines and then enforces them with workflow guardrails, reviewer consensus, and targeted spot-checks—so you can trust the numbers you ship. Because we’re built for iterative work, teams can quickly compare prompts, models, and policies; spot regressions; and push fixes backed by fresh, expert-reviewed data.
Great models don’t happen by accident—they’re the product of tight feedback loops, expert judgment, and tooling that bends to your data, not the other way around. If you’re ready to replace slow, one-size-fits-all processes with a purpose-built evaluation and safety engine, Besimple gives you the fastest path from raw data to reliable decisions—so you can iterate boldly and ship with confidence.
Active Founders
Founder
Shenzhen-born, Rhode Island-brewed, Bay Area-domesticated. While at Meta, launched 7 products and killed 2. Most recently, led the GenAI Annotation team, developing an in-house annotation platform for training LLaMa. Previously, managed an engineering organization responsible for improving connectivity for over 300 million users and optimizing 70%+ of Meta's annual SMS spend.
Shenzhen-born, Rhode Island-brewed, Bay Area-domesticated. While at Meta, launched 7 products and killed 2. Most recently, led the GenAI Annotation team, developing an in-house annotation platform for training LLaMa. Previously, managed an engineering organization responsible for improving connectivity for over 300 million users and optimizing 70%+ of Meta's annual SMS spend.
Company Launches
Besimple AI – Spin up your own data annotation platform in 60 seconds🚀
See original launch postHey 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:
- 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.
- Tailored guidelines: Import any existing guidelines or we will draft new ones aligned with your business goals, ready for annotation
- 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.
- Enterprise-grade deployment: On-prem optional install, and robust user management for internal SMEs, external vendors, or Besimple’s vetted annotators.
- 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!
- Reach us at founders@besimple.ai
- Book demo here.
- Or join our self-serve waitlist on our website!
We’ll show you how to launch a custom annotation platform in under a minute!
YC Photos
Jobs at Besimple AI
US / Remote (US)
$6K - $10K / monthly
Any
Founded:2025
Batch:Spring 2025
Team Size:2
Status:Active
Location:Redwood City, CA
Primary Partner:Nicolas Dessaigne
