Reliability solution for AI agents.

Joined November 2025
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Aaron Epstein from YC said the next trillion internet users will be AI agents. We built omium because these trillion-scale users that run autonomously -> touch real money -> fail silently And they need more than a restart button. Omium.ai helps with that.
Replying to @ycombinator
Software for Agents @aaron_epstein The next trillion users on the internet won't be people. They'll be AI agents, and they're already doing real work on top of software that was designed for humans clicking buttons. Every major category of software needs to be rebuilt for agents as first-class citizens, and that won't come from incumbents.
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May 28
Finding out your agent is broken from a user is not a monitoring strategy. It's just slow.
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May 27
you review every PR before it hits prod. but your AI agent makes 10,000 decisions in prod with zero review zero checkpoint zero rollback. this changes today, with omium.ai
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May 26
when your employee misbehaves, you fire them. when your AI agent misbehaves, it’s already made 40,000 decisions. touched real data. affected real customers. and it has no idea it did anything wrong. and neither do you.
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omium retweeted
AI agents ship fast and fail faster @omiumAI is the reliability layer that captures every trace, clusters failures by pattern and generates evaluations that fixes them your agent automatically gets smarter every week
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May 21
Inevitable Omium.ai
watch 10 teams take the stage and prove that all you need is ambition & momentum the sf sprint reshaped how we support ambitious founders by building a global accelerator designed to compress momentum
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May 19
"no pickles, extra mayo." 22% of fast food AI orders still require human intervention. 65% of failures came from customisation requests. At a single location that's manageable. At 100 locations with zero observability that's thousands of wrong orders before anyone noticed a pattern.
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May 19
2 million orders flowed through @tacobell's AI drive-thru system. then came the "18,000 cups of water" prank. then came the glitches. then the delays. at scale, one edge case becomes a content moment becomes a brand crisis. nobody was watching for it.
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May 19
"our agent is working great" working = completed the task great = nobody complained yet these are not the same thing and the gap between them is where production incidents live
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May 18
the most dangerous AI agent isn't the one that fails. it's the one that's wrong with complete confidence at 10,000 requests per hour. omium fixs that!
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May 17
You can't fix what you can't see. You can't see what you didn't instrument. You can't instrument what you shipped yesterday. start before yesterday.
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May 17
Every AI incident ends the same way. "We had no way of knowing until....." That sentence shouldn't exist in 2026.
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May 17
works perfectly in staging. falls apart in prod. Nobody knows why. because staging is controlled. Prod is alive. And your agent has no seatbelt.
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May 17
AI failures are headlining every day. And every time, the postmortem says the same thing: "We had no visibility into what the agent was doing." same problem. different company. every week.
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May 16
We built omium, so that you never have to find out the hard way.
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May 16
Say hi to our cracked tech team in Bangalore, making omium run smoothly! @AyaanOnX @bhavyin @khopadeayush96 @charan_bhatia_ @AshmitN_
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May 15
law firms running AI agents in prod at scale : → avg agent processes 50K–200K documents/month → hallucination rate on legal docs: 3–8% without grounding → at 100K docs, that's 8,000 potentially fabricated outputs → avg time to detection without observability: 11 days 11 days of bad outputs. at machine speed. touching live cases.
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