Cloudflare Shows How Agentic AI Workloads Redefine Infrastructure at Scale
Cloudflare’s latest results highlight how enterprise AI infrastructure is shifting from experimental pilots to production-grade platforms. Revenue climbed 34% year over year to USD 639.8 million (approx. RM2.94 billion), propelled by demand for AI and agentic AI workloads on its Workers developer platform. Large customers remain the growth engine: 4,416 accounts now spend more than USD 100,000 (approx. RM460,000) annually, with revenue from this cohort up 38% and contributing 72% of total sales. At the same time, Cloudflare is reorganising itself around an “agentic AI-first operating model,” cutting roughly 20% of its workforce to redesign processes around its own AI stack rather than simply trim costs. Internal AI usage has surged, with almost all R&D staff using AI coding tools. Together, these moves underscore that the company now views AI agents as core infrastructure for both customers and internal operations.
RingCentral Turns AI Communications Into Margin and Cash Flow Upside
RingCentral’s Q1 performance illustrates how software vendors are monetising AI-infused workflows while improving profitability. Revenue reached USD 644 million (approx. RM2.97 billion), up 5.3% year over year and at the top end of guidance, with subscription revenue of USD 623 million (approx. RM2.87 billion) accounting for nearly all sales. Non-GAAP EPS rose 20%, and GAAP operating margin hit a record 7.8%, helped by lower stock-based compensation as a share of revenue. Free cash flow of USD 140.65 million (approx. RM649 million) enabled a higher full-year outlook, a first-ever dividend and share buybacks, signalling confidence in durable cash generation from AI-driven collaboration suites. AI adoption is accelerating: customers using at least one paid AI product now make up more than 10% of the base and have higher average revenue per user and net retention above 100%. This shows how embedding AI into enterprise communications can deepen engagement and expand wallet share.
Allot’s Cybersecurity-First Strategy Aligns With AI-Heavy Network Demands
As AI traffic and agentic AI workloads increase pressure on networks, Allot is capitalising through a cybersecurity-first infrastructure strategy. First-quarter revenue rose 14% to USD 26.4 million (approx. RM122 million), marking a third straight quarter of double-digit growth. The standout is its Security as a Service (SECaaS) business, where revenue jumped 71% to USD 8.7 million (approx. RM40 million) and now represents one-third of total revenue. SECaaS annual recurring revenue reached USD 33.7 million (approx. RM156 million), and recurring revenue overall accounted for 67% of the quarter’s total, giving the company better visibility into future cash flows. With non-GAAP gross margin at 71.3%, supported by higher SECaaS contribution, Allot is demonstrating that security services delivered via telecom operators can scale profitably. For enterprises ramping up AI infrastructure, this model offers network-level protection that is tightly integrated with connectivity, aligning well with the security needs of distributed AI applications.
Amadeus Extends AI and Biometrics Across the Travel Infrastructure Stack
Amadeus shows how sector-specific platforms are weaving AI into mission-critical infrastructure while maintaining financial discipline. Group revenue in the first quarter reached €1.68 billion, up 3.1% year on year and 7.9% at constant currency, with adjusted EBIT rising and free cash flow up 4.5%. Despite softer booking volumes in March due to geopolitical tensions, the company reports ongoing commercial momentum and expects to remain within its 2026 guidance range. Strategically, Amadeus is expanding AI capabilities and investing in biometrics-driven traveller experiences, embedding intelligence into booking, airport and passenger-processing systems. By broadening the range of AI-powered solutions adopted by customers across the travel ecosystem, the firm is turning its platform into an operational backbone for airlines, airports and agencies. This positions Amadeus as a critical provider of enterprise AI infrastructure tailored to high-volume, transaction-intensive travel workloads.
Veritone Bets on AI Training Data Services as the Next Infrastructure Layer
Veritone’s mixed Q1 numbers mask a strategic bet that AI training data services will become foundational to enterprise AI infrastructure. Revenue fell to USD 20.3 million (approx. RM94 million), down USD 2.2 million (approx. RM10 million) from a year earlier, mainly due to weaker managed services. Yet the company reaffirmed full-year revenue guidance of USD 130 million to USD 145 million (approx. RM600 million–RM667 million), pointing to a nearly USD 70 million (approx. RM322 million) near-term pipeline for its Veritone Data Refinery (VDR). New data services agreements with Google and NVIDIA highlight the growing importance of curated, AI-ready data—especially unstructured audio and video—for enterprises, governments, hyperscalers and model developers. Annual recurring revenue climbed 9% to USD 64.2 million (approx. RM295 million), with consumption-based ARR up 50%. Even as it works to improve profitability, Veritone is positioning data refinement as a crucial layer beneath agentic AI workloads and model training pipelines.