BentoLabs AI
YC X26 · Active · Monitoring and learning layer for long-running agents
Competitors
| Company | Category | Status | Program |
|---|---|---|---|
 OpenProseShared: running agent, long running, harnessActiveAI, Devtools | AI, Devtools | Active | YCX26 |
 General ReasoningShared: long running, deploy agentNot statedAI | AI | Not stated | EF2025 |
 Proper MotionShared: learning layer, deploy agent, reliableNot statedAI | AI | Not stated | speedrunSR007 |
 Workflow86Shared: long running, prompt, agentActiveAI, Devtools | AI, Devtools | Active | YCW22 |
 Random LabsShared: long running, agentActiveAI, Devtools | AI, Devtools | Active | YCS24 |
Adjacent
| Company | Category | Status | Program |
|---|---|---|---|
 DecohereShared: long runningActiveAI | AI | Active | YCW23 |
 Cube ComputerShared: running agentNot statedAI, Devtools | AI, Devtools | Not stated | speedrunSR007 |
 GlenShared: learning layer, agent, skillActiveAI | AI | Active | YCS26 |
 Wild MooseShared: root cause, suggest, humanActiveAI, Devtools | AI, Devtools | Active | YCW23 |
 TraceRoot.AIShared: root cause, layer, agentActiveAI, Devtools | AI, Devtools | Active | YCS25 |
Also from X26 in AI
All of X26| Company | Category | Status |
|---|---|---|
 AbInitio BioThe Intelligence layer for Drug ManufacturingActiveAI | AI | Active |
 Advanced Metal ResearchMachine intelligence for American WeldingActiveAI | AI | Active |
 AgentPhonePhone Numbers for AI AgentsActiveAI | AI | Active |
 AkkariAutonomous Customer OperationsActiveAI | AI | Active |
 AllowanceThe spend control layer for AI agentsActiveAI | AI | Active |
 AmborasAI Native ShopifyActiveAI, Data, Devtools | AI, Data, Devtools | Active |
Founders
- Kaushik ASPFounder
About 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.
- YC batch
- X26 · Spring 2026
- Status, per YC
- Active
- Category
- AI
- Team size
- 5
- Location
- San Francisco, CA, USA
- Founded
- 2026
- Checked
- 35m ago
BentoLabs AI: questions
Which YC batch was BentoLabs AI in?
BentoLabs AI was in Y Combinator's Spring 2026 batch (X26).
Is BentoLabs AI still active?
Y Combinator lists BentoLabs AI as active.
Who founded BentoLabs AI?
BentoLabs AI's founders, as listed on its YC page: Kaushik ASP (Founder).
Where is BentoLabs AI based?
BentoLabs AI lists San Francisco, CA, USA as its location on YC's directory.
Sources: each program's public company list, read twice a week. Not affiliated with Y Combinator or any other program. Logos via logo.dev; trademarks belong to their owners.