Candidature YC de BentoLabs AI

Spring 2026Active

BentoLabs AI a été sélectionné par Y Combinator dans le cadre du batch Spring 2026 en tant qu'entreprise B2B. Ci-dessous : ce que fait l'entreprise, qui l'a fondée, et sa candidature à YC, reconstruite question par question dans le vrai formulaire YC.

Batch YC: Spring 2026
Secteur d'activité: B2B
Taille de l'équipe: 5
Statut: Active
Lancé: 2026

Fondateurs

Abhinav SoniFounder
Kaushik ASPFounder

Ce que fait 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.

Candidature YC de BentoLabs AI, reconstruite

Candidature Y Combinator

BentoLabs AI, promotion Spring 2026. Les vraies questions de candidature, répondues à partir de données publiques.

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 réponses supplémentaires dans la candidature complète

se trouvent dans la version complète. Créez un compte gratuit pour l'ouvrir dans YC Insights, à côté de tous les autres batches YC.

Voir la candidature complète

Questions fréquemment posées

Est-ce la vraie candidature YC de BentoLabs AI ?

Non. Y Combinator garde les candidatures soumises privées. Ceci est une reconstruction : les vraies questions du formulaire YC, répondues à partir des données publiques de BentoLabs AI (notes de lancement, parcours des fondateurs, description du produit). Cela montre comment une entreprise comme BentoLabs AI se présenterait à YC, pas le texte qu'ils ont soumis.

À quel batch YC BentoLabs AI appartenait-il ?

BentoLabs AI faisait partie du batch Spring 2026 de Y Combinator.

Qui a fondé BentoLabs AI ?

BentoLabs AI a été fondé par Abhinav Soni, Kaushik ASP.

Que fait BentoLabs AI ?

Monitoring and learning layer for long-running agents

Comment lire la candidature complète reconstruite ?

Créez un compte Round Funded gratuit. La version complète de la candidature de BentoLabs AI en 26 réponses, et de chaque autre promotion YC, se trouve dans YC Insights.