Webinar: The Model That Gets Smarter Every Time It Runs
A healthtech company built a custom AI that compounds value with every production run. The frontier model it replaced never learned a thing about their business.
By Stefan Webb
June 17, 2026
Join Oumi for our July 1 webinar and discover “The Business Case for Ditching the Frontier and Owning Your AI.”
Every company is becoming an AI company. But how do we build with AI in a way that avoids token cost blowouts, loss of IP or direct access to customers, and performs optimally for your specific purpose? In this webinar, we present the case for ditching frontier models from OpenAI, Anthropic, and others as the default for building with AI and switching to specialized models that are trained on your data, can run on-premise, and which you fully own.
We’ll begin by giving a live demo, building two real-world applications from financial services with custom, specialized models that outperform GPT-5.5 and Opus 4.8 in accuracy, price, and latency. We will build:
A financial statement sentiment analyzer that provides explanations for its predictions
A banking customer support triager with precision routing and explainable outputs
You will learn how a single engineer can build such applications in less than an hour of human time, compounding the value of your enterprise’s proprietary data. We will show, with these examples, why rented AI costs scale up and the model never gets smarter about your business whereas the value of owned models compound with every production run.
Lastly, Murali Minnah, Cofounder and Chief Strategy Officer at Wired Informatics, joins us for a fireside chat. Murali will tell us how Wired Informatics compounded the value of their custom data to build a word-sense disambiguator for medical terms outperforming frontier models by 4.5% in concept validity and 3% in accuracy. Murali will demonstrate the real-world business value created from ditching the frontier and owning your AI.