The Decision Control Layer for Regulated AI AI that Delivers – Safely, Repeatedly, At Scale

Singapore
Joined July 2020
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Replying to @socialcapital
This is why we designed FinbotsAI for full sovereignty, including air-gapped operation. Institutions own their data and models, and control the infrastructure and inference. The intelligence they build stays within their institution. More —> finbots.ai/
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FinbotsAI retweeted
FinbotsAI is the governed decision infrastructure that allows financial institutions to : • build, • deploy and • continuously control high-stakes AI decisions - without assembling fragmented data-science, MLOps, rules & governance stacks.
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FinbotsAI is the governed decision infrastructure that allows financial institutions to : • build, • deploy and • continuously control high-stakes AI decisions - without assembling fragmented data-science, MLOps, rules & governance stacks.
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Institutional decision IP should not live inside people’s heads, spreadsheets, scripts & legacy systems. Convert : Legacy quantitative / Decision processes Into : → Governed institutional decision IP Industrialize : Models, policies, decision rules, monitoring & governance.
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FinbotsAI retweeted
This is a false equivalence. Everyone has the right to keep their code private. The problem is when someone tries to stop OTHERS from open sourcing.
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Replying to @minchoi
Our solutions are designed for that : - You own your AI - Hosted on private could / servers - Live link to the web not required - More efficient that cureent autoML / ML ops solutions - Regulatory grade
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Artificial Intelligence is advancing at remarkable speed. Its potential is immense but so too are the concerns it raises.
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