BentoLabs AI YC 申请

Spring 2026Active

BentoLabs AI 在 Spring 2026 批次的 Y Combinator 中作为一家 B2B 公司进行过。以下是：公司做什么、谁创立了它，以及其 YC 申请，按照真实 YC 表格逐题重建。

YC 批次: Spring 2026
行业: B2B
团队规模: 5
状态: Active
已发布: 2026

创始人

Abhinav SoniFounder
Kaushik ASPFounder

BentoLabs AI 做什么

BentoLabs is the monitoring and learning layer for long-running agents. We detect when agents silently fail or drift from the user's goal, system prompt, or tool contracts, show affected users and root cause, and suggest the prompt, skill, or harness fix. As more teams deploy agents, keeping them reliable in production becomes mission-critical. Bento sits directly in the production loop and gives teams the operational leverage required to scale agent ecosystems without scaling human firefighting alongside them. The result is a system that turns opaque agents into agents that can be monitored, debugged, and improved continuously. The founders learned this problem at Emergent (YC S24), where they built and operated production coding agents used by 5M+ users. Abhinav was hire #1 and helped Emergent hit SWE-Bench #1 and scale from $0 to $100M ARR in just 8 months. Kaushik was hire #2, led full-stack engineering at Emergent, and was key to building the infrastructure that made production agents reliable, observable, and debuggable. Bento's self-learning engine has also lifted ARC-AGI-3 (internal) by 2.6x and Terminal-Bench 2.0 (internal) from 42.2% to 52.4% pass@1 with the same model, tools, and budget.

BentoLabs AI 的 YC 申请，重建版

Y Combinator 申请

BentoLabs AI，Spring 2026 期。来自公开数据的真实申请问题解答。

Founders2
Company7
Progress7
Idea4
Equity3
Curious2
Batch Preference1

Company

Company name

BentoLabs AI

Describe what your company does in 50 characters or less.

Monitoring and learning layer for long-running agents

What is your company going to make? Please describe your product and what it does or will do.

We built a system that monitors long-running AI agents in production, detects silent failures or when they drift from their intended goals, system prompts, or tool contracts. BentoLabs shows affected users and root causes, then suggests fixes like prompt, skill, or harness improvements. It sits directly in the production loop so teams can scale agents without massively scaling human firefighting.

Where do you live now, and where would the company be based after YC?

We live in San Francisco and will keep the company based here after YC.

Explain your decision regarding location.

San Francisco is where both of us are based and where our early customers and ecosystem are. Staying here keeps us close to product feedback and potential partners.

21 更多回答在完整申请中

Founders, Progress, Idea, Equity, Curious, Batch Preference 包含在完整版中。创建免费账户即可在 YC Insights 中打开，紧邻每个其他 YC 批次。

查看完整申请

常见问题解答

这是 BentoLabs AI 的真实 YC 申请吗？

不是。Y Combinator 对提交的申请保密。这是重建版：使用 BentoLabs AI 的公开数据（发布笔记、创始人背景、产品描述）回答真实的 YC 表格问题。它展示了像 BentoLabs AI 这样的公司会如何向 YC 自我介绍，而不是他们提交的文本。

BentoLabs AI 是哪个 YC 批次的？

BentoLabs AI 是 Y Combinator Spring 2026 批次的成员。

谁创立了 BentoLabs AI？

BentoLabs AI 由 Abhinav Soni, Kaushik ASP 创立。

BentoLabs AI 做什么？