OpenAI acquires Ona: enterprise AI agents in the cloud

The deal in brief: who Ona is and why OpenAI wants them

The 11 giugno 2026 , OpenAI has made public its intention to acquire Ona , a startup focused on creating secure and persistent cloud environments. The announcement came at a time when competition in agentic AI is intensifying. Therefore, the move comes as no surprise to those who closely follow the industry.

Ona is not a language model company. Instead, it focuses on infrastructure: execution environments that maintain state, context, and security over time. This is precisely what current AI agents lack to operate in real enterprise scenarios. In fact, most agents today work in stateless sessions, without persistent memory between executions.

Integration will take place within Codex , OpenAI's AI coding platform. However, the implications go far beyond just writing code. Ona's persistent environments enable agents capable of executing complex tasks over long timeframes, with secure access to corporate resources.

Timeline of a strategic acquisition

To understand the significance of the operation, it's useful to place it in a logical sequence. Over the past eighteen months, OpenAI has accelerated its transition from a model provider to a platform for AI agents. First came Operator, then the expansion of Codex as a standalone tool. Therefore, the acquisition of Ona represents the third act of this strategy.

Ona had built tech to lock down and protect where these AI agents run. Basically, they made sure every agent hung out in its own safe bubble, with tight control over company data. That tackles one of the biggest headaches in business AI: keeping sensitive info totally secure.

Similarly to what happened with other acquisitions in the sector, OpenAI is not just acquiring technology. They are acquiring a team with specific expertise in cloud security and distributed environment orchestration. Therefore, the deal has a value that goes beyond the code.

Winners and losers in the enterprise agent market

Who stands to gain the most from this acquisition? First of all, OpenAI strengthens its position in the enterprise segment, where competition with Microsoft, Google, and Anthropic is fiercest. Plus, Codex becomes a more credible tool for corporate IT teams looking for secure automation.

Potential losers include startups that were building persistence and security layers on top of OpenAI APIs. With Ona natively integrated, some of that middleware market could shrink. Conversely, those who bet on multi-model architectures might find new reasons to diversify.

For user companies, the picture is more mixed. On one hand, they will get access to more capable and secure agents. On the other, dependence on a single vendor increases. This is a trade-off every organization will need to carefully consider, as also highlighted in recent analyses by Gartner on enterprise AI .

What “persistent environment” means for non-developers

The technical concept deserves an easy-to-understand explanation. A traditional AI agent receives an input, processes a response, and then forgets everything. It is like a consultant who starts from scratch every day, with no memory of past sessions. Therefore, it cannot handle complex projects that develop over time.

An agent with a persistent environment, on the other hand, keeps the context from one session to the next. It can monitor a process for days, update documents, interact with external systems, and pick up right where it left off. This is the leap that makes AI truly useful for structured enterprise workflows.

Furthermore, the security component is fundamental. Ona's environments ensure that each agent operates in an isolated space, with defined permissions. Consequently, the risk of unauthorized access to sensitive data is significantly reduced. For SMEs managing customer data or financial information, this is a non-negotiable requirement.

SHM Studio's take: real opportunity or premature hype?

We at SHM Studio we are following the evolution of agentic AI with a pragmatic approach. Ona's acquisition is genuinely significant. However, it is important to distinguish between what is available today and what will be available in twelve or twenty-four months.

Today, most Italian SMEs have not yet adopted first-generation AI agents. Therefore, talking about enterprise persistent agents might seem premature. In reality, the right time to understand these technologies is before that they go mainstream, not after. Those who arrive late pay the price of forced adaptation.

The most immediate implications concern IT teams and digital managers of mid-sized companies. In particular, those who handle repetitive workflows, automated reporting, or integration between different systems should start evaluating agentic automation scenarios. The AI solutions that we support in our SME clients are already evolving in this direction.

Next moves: what to watch in the coming months

Integrating Ona into Codex won't happen overnight. Tech acquisitions take time to turn into stable, well-documented products. Therefore, a realistic roadmap is expected to unfold between late 2026 and 2027.

There are three signs to watch closely. First, the evolution of Codex APIs: if OpenAI releases endpoints for managing persistent environments, it will be the sign that the integration is mature. Second, the competitive response from Google DeepMind and Anthropic, which are developing similar solutions according to MIT Technology Review . Third, adoption by European system integrators, who often stay ahead of mid-market SME demand.

For companies that are building their own digital strategy , now is the time to map out internal processes that could benefit from agentic automation. This isn't about investing in immature technology today. It's about being ready when that maturity arrives.

Operational implications for Italian B2B SMEs

Italian B2B SMEs have specific traits that make AI agents super relevant. Many handle hybrid setups, mixing old legacy systems, Excel sheets, and cloud tools that don't talk to each other. Because of this, an agent that can smoothly work across all these spaces can really cut down on day-to-day costs.

The most immediate use cases include: automated reporting for clients, continuous KPI monitoring across multiple platforms, and integration between CRMs and billing systems. Plus, in B2B retail, persistent agents could handle automatic stock reordering or sales performance analysis by category.

Who deals with SEO and content will find applications in agents that monitor positioning over time and suggest contextual optimizations. Similarly, those managing google ads campaigns or LinkedIn campaigns you will be able to benefit from agents that continuously optimize budget allocations without manual intervention.

In any case, the prerequisite is to have a structured digital presence and documented processes. AI agents amplify what already exists. They do not replace a lack of solid digital foundations. Therefore, anyone who has not yet completed their basic digital transformation should start there, before thinking about agents.

The work still in progress: what remains unresolved

Despite this, open questions remain that deserve critical attention. The first concerns data governance. Persistent agents access corporate information over time: who controls what they see, and for how long? European data processing regulations, particularly the GDPR, impose precise constraints that American platforms have yet to prove they fully comply with in agentic scenarios.

The second issue concerns the transparency of decisions. An agent that operates autonomously for days on a business workflow makes decisions. Who is responsible for them? Finally, there is the issue of vendor lock-in: the more a company integrates OpenAI agents into its processes, the harder it becomes to switch platforms in the future.

These are not reasons not to adopt technology. However, they are reasons to do it wisely and with the support of partners who know both the Italian technological and regulatory context. To explore these topics further or evaluate specific scenarios for your company, you can contact the SHM Studio team or check out the in-depth articles on our blog .