Aplikacja BentoLabs AI do YC

Spring 2026Active

BentoLabs AI przeszedł przez Y Combinator w batchu Spring 2026 jako firma z branży B2B. Poniżej: czym zajmuje się firma, kto ją założył i jej aplikacja do YC, zrekonstruowana pytanie po pytaniu w prawdziwym formularzu YC.

Batch YC: Spring 2026
Branża: B2B
Wielkość zespołu: 5
Status: Active
Wystartowano: 2026

Foundersi

Abhinav SoniFounder
Kaushik ASPFounder

Czym zajmuje się 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.

Aplikacja BentoLabs AI do YC, zrekonstruowana

Aplikacja Y Combinator

BentoLabs AI, batch Spring 2026. Prawdziwe pytania z formularza, odpowiedzi na podstawie danych publicznych.

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 dodatkowych odpowiedzi w pełnej aplikacji

Są w pełnej wersji. Utwórz darmowe konto, aby otworzyć je w YC Insights, obok każdego innego batcha YC.

Zobacz pełną aplikację

Często zadawane pytania

Czy to jest prawdziwa aplikacja BentoLabs AI do YC?

Nie. Y Combinator utrzymuje prywatność złożonych aplikacji. Jest to rekonstrukcja: prawdziwe pytania z formularza YC, na które odpowiedziano na podstawie publicznych danych BentoLabs AI (notatki o premierze, tło founderów, opis produktu). Pokazuje, jak firma taka jak BentoLabs AI przedstawiłaby się YC, a nie tekst, który złożyli.