Kaushik ASP
Founder of BentoLabs AI, Monitoring and learning layer for long-running agents
Company
Kaushik ASP is listed as a founder of 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.
Founder traction evidence
Public posts and activity attributed directly to this founder.
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We’re introducing Issues by @BentoLabsAI.
We’re introducing Issues by @BentoLabsAI. Issues are recurring production problems Bento surfaces directly from your agent’s traces, logs, and runs. Instead of treating every failed run as a one-off, Bento groups similar agent failures into clear, trackable Issues into a
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My co-founder @Abhinavv_soni clearly does not like being kept away from his agents.
My co-founder @Abhinavv_soni clearly does not like being kept away from his agents. PS: BTS of the BTS. #launchsoon
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:) @Abhinavv_soni and I have amazing memories that we look back on
:) @Abhinavv_soni and I have amazing memories that we look back on
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"Model quality'' has become a convenient place to hide systems failure. At @BentoLabsAI, we don't hide. We fix what actually needs fixing so you can stop tinkering around broken infrastructure, and experience the flow of continuous monitoring and uninterrupted learning. https://t.co/ZbtjpZi8uc
"Model quality'' has become a convenient place to hide systems failure. At @BentoLabsAI, we don't hide. We fix what actually needs fixing so you can stop tinkering around broken infrastructure, and experience the flow of continuous monitoring and uninterrupted learning....