The fine-tuned classification model now powers agent routing, scope, and safeguard decisions across the boost.ai platform, holding steady even during peak-demand hours.
boost.ai Launches Presis, A Self-Hosted AI Model Built for Speed & Accuracy in Regulated Industries
The fine-tuned classification model now powers agent routing, scope, and safeguard decisions across the boost.ai platform, holding steady even during peak-demand hours.
Yahoo Finance
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Nov 10, 2026 at 11:05 AM UTC · Updated một ngày trước · 3 phút đọc

SANDNES, Norway, Nov. 10, 2026 /PRNewswire/ -- boost.ai, a global leader in conversational AI for regulated industries, today announced the launch of Presis, a fine-tuned, self-hosted language model that handles the classification decisions in and around every AI agent conversation, including which part of the AI agent should respond, whether a question is in scope, whether an answer is safe to show to an end-user, and how conversations are reviewed once they've finished.
Based on internal testing, Presis is at least 2.5 times faster than the models it replaces, with the difference most noticeable during peak-demand hours, when third-party capacity is most likely to slow down, and in voice AI deployments, where routing and safeguard checks have to complete before a response can even begin.
"For regulated organizations, every automated conversation matters – speed and reliability are core to how they build trust with their customers," said Jerry Haywood, CEO of boost.ai. "Presis reflects what we've learned from a decade of working inside those industries, and it gives us one more way to earn the trust they place in us every day."
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