Application YC di BentoLabs AI

Spring 2026Active

BentoLabs AI ha partecipato a Y Combinator nel batch Spring 2026 come azienda B2B. Sotto: cosa fa l'azienda, chi l'ha fondata e la sua application a YC, ricostruita domanda per domanda nel form reale di YC.

Batch YC: Spring 2026
Settore: B2B
Dimensione team: 5
Stato: Active
Lanciata: 2026

Founder

Abhinav SoniFounder
Kaushik ASPFounder

Cosa fa 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.

Application YC di BentoLabs AI, ricostruita

Domanda per Y Combinator

BentoLabs AI, batch Spring 2026. Le vere domande del form, risposte da dati pubblici.

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 risposte in più nell'application completa

Founders, Progress, Idea, Equity, Curious, Batch Preference sono nella versione completa. Crea un account gratuito per aprirla in YC Insights, accanto a ogni altro batch YC.

Vedi domanda completa

Domande Frequenti

Questa è l'application YC reale di BentoLabs AI?

No. Y Combinator mantiene private le application inviate. Questa è una ricostruzione: le domande del form YC reale, a cui si è risposto usando i dati pubblici di BentoLabs AI (note di lancio, background dei founder, descrizione del prodotto). Mostra come un'azienda come BentoLabs AI si presenterebbe a YC, non il testo che hanno inviato.

A quale batch YC apparteneva BentoLabs AI?

BentoLabs AI apparteneva al batch Spring 2026 di Y Combinator.

Chi ha fondato BentoLabs AI?

BentoLabs AI è stato fondato da Abhinav Soni, Kaushik ASP.

Cosa fa BentoLabs AI?

Monitoring and learning layer for long-running agents

Come leggo la ricostruzione completa della application?

Crea un account Round Funded gratuito. La versione completa di 26 risposte della application di BentoLabs AI, e di ogni altro batch YC, è in YC Insights.