DoiT, a cloud spend optimisation company, has acquired Israeli startup Attribute in a deal estimated at approximately $65 million, adding real-time AI and cloud spend visibility capabilities to its existing platform. The acquisition, disclosed this week, reflects a broader wave of consolidation underway in the FinOps and cloud cost management category, as enterprises grapple with rapidly escalating and increasingly difficult-to-track spending on AI tokens, model inference and cloud infrastructure.
Attribute, founded in 2023 by Izhak Zimmermann and Liad Tropp, built software designed to give organisations granular, real-time visibility into spending across AI tokens, models, autonomous agents, cloud services, products, internal teams and even individual customers. That level of granularity has become increasingly valuable — and increasingly necessary — as enterprises deploy generative AI applications at scale, often discovering only after the fact that costs associated with model inference, particularly for more capable and expensive frontier models, can escalate far faster than anticipated when usage scales across an organisation.
For DoiT, the acquisition extends its existing cloud cost optimisation capabilities into the newer and rapidly growing domain of AI-specific spend management, a category that has emerged almost entirely over the past two years as enterprises have moved from experimental AI pilots to production deployments carrying meaningful budgetary weight. The distinction matters: traditional cloud cost optimisation tools were built around relatively predictable compute, storage and networking spend categories, whereas AI-specific costs — driven by variable token consumption, model selection choices and the behaviour of increasingly autonomous AI agents — require fundamentally different tracking and attribution methodologies.
The deal also reinforces Israel's continued standing as a prolific source of enterprise software innovation, particularly within categories adjacent to cybersecurity, cloud infrastructure and now AI operations tooling. Israeli startups founded by technical teams with deep infrastructure and security backgrounds have consistently proven attractive acquisition targets for larger global platform companies seeking to rapidly add specialised capabilities rather than build them in-house — a dynamic that Attribute's relatively swift path to acquisition, roughly two years after founding, exemplifies.
As enterprises continue to grapple with the financial implications of scaling AI adoption, demand for tools that can bring cost discipline and accountability to AI spending is likely to keep growing, positioning the broader FinOps-for-AI category as an active area for further consolidation. DoiT's acquisition of Attribute is likely to be one of several similar deals in the months ahead, as established cloud and infrastructure management platforms race to add AI-native cost visibility capabilities before smaller, more specialised competitors can scale independently.
The underlying problem Attribute set out to solve has become increasingly urgent for finance and technology leaders across industries. Unlike traditional cloud infrastructure costs, which tend to scale in relatively predictable relation to usage metrics that finance teams have grown accustomed to forecasting, AI inference costs can fluctuate dramatically based on model selection, prompt complexity, and — increasingly — the behaviour of autonomous AI agents capable of making their own decisions about how many API calls or model invocations a given task requires. This unpredictability has repeatedly caught finance and engineering leaders off guard, creating strong demand for tooling that can attribute costs granularly enough to identify which specific teams, products or use cases are driving spend increases before they compound into significant budget overruns.
For Zimmermann and Tropp, Attribute's founders, the relatively swift acquisition — roughly two years after the company's 2023 founding — reflects a broader pattern among Israeli enterprise software startups of building focused, technically sophisticated point solutions that address emerging infrastructure pain points quickly enough to become attractive acquisition targets for larger platform companies before needing to raise the substantial growth capital required to compete as an independent, scaled business. This build-to-acquire dynamic has remained a consistent feature of Israel's startup ecosystem across multiple technology cycles, from cybersecurity through cloud infrastructure and now into AI operations tooling.
DoiT's broader strategy of expanding through targeted acquisitions of specialised point solutions, rather than attempting to build every adjacent capability internally, reflects a pragmatic approach increasingly favoured by mid-sized enterprise software platforms competing against both hyperscaler-native tooling and well-funded venture-backed startups. By acquiring rather than building AI spend visibility capability, DoiT can bring the functionality to market considerably faster than an internal build timeline would allow, while also acquiring the specialised engineering talent and existing customer relationships that Attribute has already developed within its two years of independent operation.
Looking ahead, the FinOps-for-AI category is widely expected to see continued consolidation as enterprise AI spending scales from the relatively modest pilot-programme budgets of the past two years toward the far larger production-scale spending levels now being planned across most large organisations. Vendors that can offer comprehensive, accurate cost attribution across an enterprise's full AI stack — spanning multiple model providers, cloud environments and increasingly autonomous agent workflows — are positioned to capture significant value as AI cost governance shifts from a nice-to-have capability to a board-level financial priority.
The deal also underscores how quickly the acquisition timeline for promising infrastructure startups has compressed during the current AI investment cycle. Where enterprise software startups historically operated independently for five to seven years before an acquisition of this scale, Attribute's roughly two-year path from founding to exit reflects both the urgency with which larger platforms are moving to acquire capability rather than build it, and the speed at which genuinely differentiated AI-native tooling can achieve meaningful customer traction in today's fast-moving enterprise technology market.
For DoiT's existing customer base, the acquisition promises more immediate, tangible benefits in the form of expanded platform capability delivered without the delays typically associated with internal product development timelines. As enterprises increasingly demand a single, unified view of technology spending spanning both traditional cloud infrastructure and newer AI-specific costs, DoiT's ability to offer this combined visibility through one integrated platform, rather than requiring customers to stitch together insights from multiple point solutions, is likely to strengthen its competitive positioning against both larger cloud-native cost management incumbents and smaller, more narrowly focused rivals.
The transaction also adds to a broader wave of consolidation among cloud cost management and observability vendors as the category matures alongside the underlying cloud and AI infrastructure it monitors. As enterprises increasingly favour consolidated platforms over an unwieldy patchwork of specialised point solutions, vendors capable of assembling comprehensive, integrated capability sets through targeted acquisitions like this one are positioned to capture disproportionate share of enterprise technology management budgets over the coming years.
