
Inscrição YC de BentoLabs AI
BentoLabs AI passou pela Y Combinator no batch Spring 2026 como uma empresa B2B. Abaixo: o que a empresa faz, quem a fundou e sua inscrição para a YC, reconstruída pergunta por pergunta no formulário real da YC.
- Batch YC
- Spring 2026
- Indústria
- B2B
- Tamanho da equipe
- 5
- Status
- Active
- Lançada
- 2026
Fundadores
Abhinav SoniFounder
Kaushik ASPFounder
O que BentoLabs AI faz
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.
Inscrição YC de BentoLabs AI, reconstruída
Inscrição Y Combinator
BentoLabs AI, lote Spring 2026. As verdadeiras perguntas do formulário, respondidas com dados públicos.
- Founders2
- Company7
- Progress7
- Idea4
- Equity3
- Curious2
- Batch Preference1
Company
BentoLabs AI
Monitoring and learning layer for long-running agents
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.
We live in San Francisco and will keep the company based here after YC.
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 respostas a mais na inscrição completa
Founders, Progress, Idea, Equity, Curious, Batch Preference estão na versão completa. Crie uma conta gratuita para abri-la no YC Insights, ao lado de todos os outros batches da YC.
Perguntas Frequentes
Esta é a inscrição real da YC de BentoLabs AI?
Não. A Y Combinator mantém as inscrições submetidas em privado. Esta é uma reconstrução: as perguntas reais do formulário da YC, respondidas a partir dos dados públicos de BentoLabs AI (notas de lançamento, históricos de fundadores, descrição do produto). Mostra como uma empresa como BentoLabs AI se apresentaria à YC, não o texto que eles submeteram.
Em qual batch da YC BentoLabs AI esteve?
BentoLabs AI fez parte do batch Spring 2026 da Y Combinator.
Quem fundou o BentoLabs AI?
O BentoLabs AI foi fundado por Abhinav Soni, Kaushik ASP.
O que o BentoLabs AI faz?
Monitoring and learning layer for long-running agents
Como eu leio o application completo reconstruído?
Crie uma conta gratuita no Round Funded. A versão completa de 26 respostas do application do BentoLabs AI, e de todos os outros lotes do YC, está no YC Insights.