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Oumi Want Every Enterprise to Build Its Own AI Brain

Oumi launched its Compounding AI Factory this month, a platform built to automate the development of specialized enterprise artificial intelligence models. Instead of assembling a team of machine learning engineers to build, evaluate and improve a model by hand, the company argues AI itself can do that work, letting enterprises continuously develop intelligence tailored to […] The post Oumi Want…

Oumi Want Every Enterprise to Build Its Own AI Brain

Oumi has introduced its Compounding AI Factory, a platform designed to automate the creation of customized enterprise artificial intelligence models. Instead of relying on a team of ML experts to manually build, test, and improve models, this AI-powered platform can do the job, allowing businesses to continuously develop intelligence that matches their unique data and processes.

Manos Koukoumidis, Oumi's Co-Founder and CEO, believes that in a year or six months, it will be obvious that AI can automate AI development. As building custom AI becomes more accessible, the company predicts enterprises will question the idea of renting AI from leading labs. The Compounding AI Factory removes technical barriers that have hindered custom AI development, enabling enterprises to focus on their specific needs rather than grappling with the complexities of model creation.

Koukoumidis likens the shift to coding assistants in software engineering, stating that it democratizes AI development. Not only does automation make existing machine learning engineers more efficient, but it also enables enterprises without this expertise to build their own specialized models, reducing both cost and complexity.

This shift also impacts the economics of renting versus owning AI. With AI becoming crucial to competitive advantage, companies are reconsidering if renting third-party providers is the optimal long-term strategy. Koukoumidis believes that enterprises should own their AI to avoid vendor pricing decisions, roadmap changes, and geopolitical risks, while keeping proprietary knowledge secure within their own systems.

He argues that enterprises should build, own, and compound their own intelligence, treating it as infrastructure rather than consuming it through an API.

Written by urgent.news from PYMNTS's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

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