Aplicación YC de BentoLabs AI

Spring 2026Active

BentoLabs AI pasó por Y Combinator en el batch Spring 2026 como una empresa de B2B. Abajo: qué hace la empresa, quién la fundó y su aplicación a YC, reconstruida pregunta por pregunta en el formulario real de YC.

Batch YC: Spring 2026
Industria: B2B
Tamaño del equipo: 5
Estado: Active
Lanzado: 2026

Fundadores

Abhinav SoniFounder
Kaushik ASPFounder

Lo que hace BentoLabs AI

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.

Aplicación YC de BentoLabs AI, reconstruida

Solicitud de Y Combinator

BentoLabs AI, batch Spring 2026. Las preguntas reales del formulario, respondidas con datos públicos.

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 respuestas más en la aplicación completa

están en la versión completa. Crea una cuenta gratuita para abrirla en YC Insights, junto a cada otro batch de YC.

Ver aplicación completa

Preguntas Frecuentes

¿Es esta la aplicación YC real de BentoLabs AI?

No. Y Combinator mantiene privadas las aplicaciones enviadas. Esta es una reconstrucción: las preguntas reales del formulario de YC, respondidas a partir de los datos públicos de BentoLabs AI (notas de lanzamiento, antecedentes de fundadores, descripción del producto). Muestra cómo una empresa como BentoLabs AI se presentaría a YC, no el texto que enviaron.

¿En qué batch de YC estuvo BentoLabs AI?

BentoLabs AI formó parte del batch Spring 2026 de Y Combinator.

¿Quién fundó BentoLabs AI?

BentoLabs AI fue fundado por Abhinav Soni, Kaushik ASP.

¿A qué se dedica BentoLabs AI?

Monitoring and learning layer for long-running agents

¿Cómo leo la aplicación completa reconstruida?

Crea una cuenta gratuita de Round Funded. La versión completa de 26 respuestas de la aplicación de BentoLabs AI, y de cada otro batch de YC, está en YC Insights.