Artificial intelligence has become standard equipment in most organisations, but adoption has produced a problem few anticipated. Research published by Menlo Ventures put enterprise spending on generative AI at approximately $37 billion in 2025, more than three times the prior year, while IBM's 2025 study of chief executives found that only around a quarter of AI initiatives had delivered their expected return. Gartner has projected that more than 40 percent of agentic AI projects will be cancelled by 2027.
The gap between expenditure and outcome has several causes, but one is structural. Language models produce output and stop. They can draft, analyse and recommend, but they cannot register a domain, provision hosting, publish to a live account, or complete a multi-step task without a person carrying it between systems. Organisations also accumulate tools function by function, with separate subscriptions, credentials and billing, and little coordination between them.
JONI is positioning itself against that problem, describing its product as a business AI operating system: a single platform that connects the leading AI models and adds an execution layer intended to carry work through to a completed result.
JONI does not develop its own foundation model. Its stated position is that the major laboratories are suppliers rather than competitors, and that its role sits above them.
The platform routes each task to whichever connected model is best suited to it, without the user selecting a model or maintaining separate accounts. The company argues that this produces a structural form of neutrality, since a platform with no model of its own has no commercial incentive to favour one provider, and that the advantage compounds as new models are released.
This places JONI within a category analysts have begun to size separately from generative AI more broadly. Deloitte's Technology, Media and Telecommunications predictions estimate the agentic AI market at roughly $9 billion in 2026, rising to between $35 billion and $45 billion by 2030, and note that the upper end of that range depends on enterprises implementing agent orchestration effectively. Gartner has forecast that 40 percent of enterprise applications will embed task-specific AI agents by the end of 2026, compared with under 5 percent a year earlier.
Each user is allocated a persistent cloud runtime that retains memory, files and integrations between sessions and continues background tasks when the user is not present. Heavier processing is provisioned on demand and released afterwards, an approach intended to make persistent operation economically viable.
Within that environment, specialist agents handle distinct functions including writing, research, design, development, media production and scheduling, operating in parallel rather than sequentially. The user states an objective rather than selecting an agent or a model.
The company reports that the platform's execution capabilities extend to registering domains, provisioning hosting and deploying live websites, producing finished video and audio, building and managing advertising campaigns, and operating connected social accounts through official platform interfaces. Actions of consequence require explicit user approval before execution, and activity is recorded in an audit log accessible to account administrators.
JONI operates a marketplace through which third-party developers can publish agents and skills for installation by users, with revenue shared in the publisher's favour.
The company describes this as a means of expanding platform capability without corresponding internal development, and as a two-sided network effect, with published agents attracting users and a growing user base attracting further developers. For organisational accounts, administrators retain control over which agents may be installed.
JONI is sold to organisations on a per-seat licence at $65 per seat per month, with usage credits purchased separately into a shared account pool. The company states that model capacity is purchased in volume and passed through at or near cost, with margin earned on the licence rather than on usage, an approach it presents as a transparency argument against competitors that resell a single model behind a proprietary interface.
Its stated target market is small and medium organisations in the private sector, typically between five and two hundred people, including startups, established digital businesses and agencies. The company has said that larger and more technically sophisticated organisations are a later priority.
JONI is developed by Mezada Development and Software Ltd., an Israeli company, and is self-funded by its founder. The platform is available on the web and through the App Store and Google Play.
The orchestration layer is becoming a contested space. Enterprise platforms already offer multi-model access and governance to technical teams, while the major laboratories are extending their own products toward task execution. Multi-model access alone is increasingly treated as a baseline capability rather than a differentiator.
JONI's argument is that execution and accessibility, rather than model access, determine which platforms deliver measurable value, and that the distinction matters most for organisations without dedicated technical resources. Whether that proves correct will depend on demonstrable outcomes in a category where analysts expect a substantial proportion of projects to fail.