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@open_founder

Tim

Founder @openservai Building an agentic economy where anyone can turn ideas into value.

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Check out the full case study of how SERV Reasoning just leveled up a soon to be massive onchain AI banking/compliance layer. Here are the key results: >100x cheaper than production default >107× better performance-per-dollar >ZERO failed calls on 120 cases. This is a game changer. From the founder himself: "The other quiet result on this run: both SERV configurations hit 0 false ALLOWs. That's the real compliance bar in banking and MRM — not raw accuracy. False BLOCKs cost UX. False ALLOWs cost regulators. They aren't equally weighted." We're unlocking new infrastructure, categories, and enterprise AI integrations that until now have simply not been possible due to the constraints of AI systems today. SERV solves this, SERV solves AI. and, this is just 1 customer out of many from week 1 of the private beta...
18h ago75💬 4🔁 18
alpha in there...
1d ago44💬 3🔁 5
The SERV Reasoning Private Beta is currently live and on fire. SERV Reasoning just beat OpenAI & Anthropic models in production with a new enterprise user. Thoughtproof is building a full-stack AI agent verification layer for banking, compliance, and onchain settlement. This is verification infrastructure for the entire onchain DeFAI economy. Before SERV Reasoning, their system was producing a 12% failure rate. This could be a company killer if not fixed. From the founder himself: ""An evaluator that drops 12% of calls is not a production option. SERV had zero failed calls." With SERV Reasoning their system had > ZERO (0) failures At a cost that was > 100x cheaper SERV Reasoning is literally unlocking new business models, categories, and enterprise AI systems that simply DID NOT WORK before. SERV.
1d ago137💬 16🔁 37
The AI startup factory is accelerating.
1w ago39💬 5🔁 7
Another class act project built and launched on @openservai Quant-grade prediction market signals and agentic trading vaults, powered by SERV Reasoning. Excited to see mainnet arrive after lots of hard work finetuning their product.
1w ago83💬 7🔁 13

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