Leading global AI application company OpenAI has agreed to acquire Ona, a well-known startup providing cloud computing services to support enterprise deployment of AI agents.
This move represents a significant part of the ChatGPT owner's efforts to make its cutting-edge AI technology more effective at enhancing business operational efficiency and to help companies deploy AI agents more easily.
The key to OpenAI's acquisition of Ona is not simply to expand the Codex team, but to fully address the need for secure, persistent, and governable cloud execution capabilities required to advance AI agents into enterprise production and operational environments.
From AI chatbots to an enterprise AI agent execution platform, OpenAI's decision to acquire Ona at this moment is undoubtedly a bet that AI agents will become the next-generation productivity platform.
The deal, which has not yet been finalized, will formally integrate the Ona team into OpenAI's Codex project; the ChatGPT maker announced the news on Thursday, Eastern Time.
OpenAI stated that over 5 million people currently use its Codex AI programming tool weekly.
For OpenAI's growth ambitions, one significance of the Ona acquisition is undoubtedly expanding Codex from a developer tool into an essential enterprise-level knowledge work operational workflow.
OpenAI disclosed that Codex now has over 5 million weekly users, a 400% increase from earlier this year; simultaneously, Codex is no longer just a software development tool.
Non-software platform developer users, including analysts, marketers, operations personnel, designers, researchers, institutional investors, and senior bankers, now constitute about 20% of the total user base and are growing at a rate more than three times that of the developer segment.
OpenAI stated that Ona's cloud-related services provide "secure, persistent developer environments where AI agents can safely and efficiently access the critical tools, systems, and context they need to power agentic AI workflows over time."
The terms of the Ona acquisition were not disclosed.
For the valuation prospects of global AI application leader OpenAI, this acquisition strengthens the narrative of OpenAI's accelerated transition from a "consumer-grade AI entry point" to an "enterprise-grade AI productivity platform."
OpenAI is packaging its "leading large model capabilities" into an "enterprise production and operational system deployable" AI commercial closed-loop model.
In the competition with rivals like Anthropic for the enterprise AI entry point, whoever enables agents to run securely and long-term in enterprise production environments is more likely to command higher enterprise valuation multiples and stronger revenue visibility.
OpenAI confirmed on June 8 that it had confidentially submitted an S-1 filing but simultaneously stated it has not yet decided on a listing timeline, which may still be some time away, as some things are easier to advance as a private company.
OpenAI is currently engaged in fierce competition with long-time rival Anthropic PBC to accelerate the development and sale of more advanced AI agent systems, helping enterprise clients significantly streamline workflows and markedly improve business operational efficiency.
These two globally hottest AI startups focused on cutting-edge application technology have both submitted draft IPO filings and are eyeing a potential public market debut on Wall Street as early as this fall.
For investors, OpenAI's acquisition of Ona sufficiently indicates that the main investment theme in AI applications is shifting from "whose AI model is smarter" to a new stage focused on "whose AI agents can truly enter enterprises, run tasks, integrate with systems, be regulated, and be audited."
This also means that future valuation premiums in the broader AI computing industry chain will increasingly flow on a large scale to AI agent cloud computing infrastructure, enterprise workflow orchestration systems, secure cloud execution, developer tools, and high-compliance industry deployment capabilities.
OpenAI's Acquisition of Ona: Bolstering the "Agent Cloud Foundation" Ahead of a Major IPO
The core logic behind OpenAI's acquisition of Ona is not simply "buying a cloud services startup," but rather completing the most critical piece of infrastructure for enterprise AI agents before the IPO window: a secure, persistent, and governable cloud execution environment.
OpenAI officially stated that Ona will integrate its secure cloud execution and orchestration technology into the rapidly expanding Codex ecosystem, with the goal of transforming Codex from an "AI programming assistant for single sessions on a single device" into a comprehensive agentic AI workflow platform capable of running continuously for hours or even days within enterprise cloud environments.
Public information shows that Ona's proprietary technology can provide secure, persistent environments that allow agents continuous access to the tools, systems, and context needed to complete long-term tasks.
From a product engineering perspective, this acquisition addresses the "last mile" problem of agent commercialization: it's not enough for models to reason and write code; what enterprises truly need are agents that can execute real tasks in environments with controlled permissions, isolated credentials, auditable logs, rollback-able processes, and reviewable results.
OpenAI explicitly mentioned that Ona's customer-controlled execution model will allow agents to run within a company's own cloud environment, while OpenAI provides the intelligence and orchestration capabilities, enabling enterprises to deploy Codex without sacrificing control over their infrastructure, data, and security perimeters.
This is particularly critical for highly regulated industries such as finance, manufacturing, healthcare, software engineering, legal, and investment research, as these clients are not buying a "chatty large AI model," but rather an agentic AI agent execution system that can enter production workflows, undertake continuous work, and meet governance requirements.
In other words, Ona does not simply enhance "code writing"; it pushes Codex towards broader enterprise automation: running tests, fixing bugs, processing tickets, generating reports, building dashboards, modernizing legacy systems, reviewing code, and connecting to high-frequency enterprise application tools like Slack, Google Docs, Snowflake, and Tableau.
OpenAI also recently strengthened its partnership with Oracle, enabling OCI customers to use OpenAI models and Codex through existing cloud commitments, further demonstrating its strategy to reduce enterprise procurement, deployment, and governance friction.
OpenAI is currently preparing for a potential blockbuster IPO with a valuation that could reach $1 trillion, although the company's annualized revenue run rate is expected to be around $20 billion by year-end, its losses are also widening.
This means the public market will be most concerned not just with revenue growth, but with revenue quality, enterprise customer stickiness, unit economics, computing cost control, and sustainable gross margins.
Ona precisely serves these valuation variables: making Codex more deeply embedded in enterprise workflows, improving retention rates, average contract value, and long-term contract value, and shifting OpenAI's revenue structure from "subscription/API calls" towards a "continuous execution agent platform."
Comments