boost.ai Launches Presis, a Self-Hosted AI Model

boost.ai, a provider of conversational artificial intelligence for regulated industries, has launched 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. 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.

"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, in a statement. "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."

"A model tuned specifically for classification can do things that a general-purpose model can't, including staying fast under peak load and improving steadily because we control every part of the stack it runs on," said Rasmus Hauch, chief technology officer of boost.ai, in a statement. "With Presis, we can now offer faster, more consistent answers where it counts, while building the reliability that customers expect from boost.ai even deeper into the platform."