Back in 2023, two tech veterans decided compliance didn't have to be stuck in the stone age. Kalyani Ramadurgam teamed up with Ashi Agrawal—who'd spent years building software at Affirm—to launch Kobalt Labs. Their pitch? Stop drowning compliance teams in paperwork.
What Kobalt actually does is pretty clever: their AI engines tear through massive document piles, hunting for red flags when banks evaluate potential partners. Think of it as giving compliance officers X-ray vision—spotting risks that'd normally take weeks to uncover. The system's trained to catch what matters: whether a business partner's actually following regulations, or just pretending to.
It's that intersection where machine learning meets old-school due diligence. Banks get faster answers. Compliance folks get their weekends back. And risky partnerships get flagged before they become problems.
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ExpectationFarmer
· 8h ago
Finally, someone is taking real action on compliance. Just looking at the stack of documents gives me a headache—AI really comes in handy here.
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GamefiHarvester
· 8h ago
Ha, finally someone has modernized this compliance mess, I knew it!
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GateUser-addcaaf7
· 8h ago
Finally, someone is doing this. The compliance department really deserves to be liberated.
How can anyone afford this AI document review system? Can small banks handle it?
Being able to sleep in more on weekends? Sounds good, but I don't think it's that simple.
I used a similar one a month ago, and it still missed a lot of details...
The X-ray vision analogy is good, but the price needs to be negotiated.
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bridgeOops
· 8h ago
NGL compliance has always been a pain point for banks... Using AI to transform this kind of repetitive work is actually quite interesting.
Back in 2023, two tech veterans decided compliance didn't have to be stuck in the stone age. Kalyani Ramadurgam teamed up with Ashi Agrawal—who'd spent years building software at Affirm—to launch Kobalt Labs. Their pitch? Stop drowning compliance teams in paperwork.
What Kobalt actually does is pretty clever: their AI engines tear through massive document piles, hunting for red flags when banks evaluate potential partners. Think of it as giving compliance officers X-ray vision—spotting risks that'd normally take weeks to uncover. The system's trained to catch what matters: whether a business partner's actually following regulations, or just pretending to.
It's that intersection where machine learning meets old-school due diligence. Banks get faster answers. Compliance folks get their weekends back. And risky partnerships get flagged before they become problems.