Our Approach
The Infrastructure Minds Building AI That Actually Works
How 10+ years of building enterprise cloud and network infrastructure—and 5+ years of production-grade AI—taught us what most AI companies still haven’t learned: the algorithm is never the hard part.
The Problem Nobody Wants to Talk About
There’s an uncomfortable truth in enterprise AI right now. Despite $90 billion projected in AI consulting spend by 2035 and a surge of vendors promising transformation, the numbers tell a different story: 46% of AI pilots never reach production. 70% of health IT implementations fail outright. 87% of enterprises have AI pilots running—yet fewer than 20% have successfully scaled a single one into real operations.
Built From the Infrastructure Up
Our Value Pyramid: Data First, AI Second
Our approach inverts the way most firms sell AI. Where others lead with models and algorithms, we lead with the question that actually determines success: Is your data ready to deliver value?
We’ve structured our engagement model around what we call the Value Pyramid—three integrated layers that build on each other, because we’ve learned the hard way that you cannot shortcut the foundation.
Layer 1: Foundational Infrastructure.
Layer 2: Data Platform.
Layer 3: Intelligent Applications.
Deep Verticals, Not Shallow Promises
CloudlyCare: AI That Improves Outcomes, Not Just Dashboards
Healthcare organizations generate massive volumes of clinical, operational, and device data—yet most of it remains siloed across EHR and EMR systems, fragmented across formats, and inaccessible to the AI models that could transform care delivery. The bottleneck isn’t interest in AI—it’s execution. Manual clinical decision-making, rising infrastructure costs, compliance exposure, and the sheer complexity of integrating across hospitals, clinics, pharma, and telehealth environments.
CloudlyCare delivers a production-ready, HIPAA-compliant AI solution that integrate with existing hospital systems—EHR, LIS, PACS, HIS—to drive efficiency, intelligence, and compliance. Our solutions span hospital operations intelligence, diagnostics and imaging AI, population health analytics, and healthcare data security. Working with a leading post-acute care technology platform, we deployed AI-driven clinical intelligence that achieved measurable improvements in patient satisfaction and care team productivity—proving that AI can work in real clinical environments without requiring massive internal AI teams.
Our healthcare AI roadmap extends across the full care continuum: hospitals and health systems, clinics and ambulatory care, pharma and life sciences, medical devices, telehealth, and payors—always with security, privacy, and compliance built in from the ground up, not bolted on as an afterthought.
CloudlyNet: Network AI That Turns Telemetry into Decisions
Communication networks are becoming more complex, distributed, and always-on—while expectations for reliability, performance, and cost efficiency keep rising. Traditional OSS tools and reactive operations can no longer keep up. Network teams are dealing with manual log and alarm analysis consuming engineer time, reactive issue detection after customer impact, disconnected data across vendors and domains, and AI initiatives stalled by skill gaps and complexity. The result: service degradation, high OPEX, customer churn, and slower innovation.
CloudlyNet is a Network AI solution that transforms raw network Four purpose-built AI solutions—CloudlyNet data into real-time, predictive, and prescriptive intelligence—without replacing your existing tools. It works across access, metro, and core networks, supports telecom, ISP, and enterprise environments, and deploys on-premise, private cloud, or hybrid. Built on our contributions to Linux Foundation Connectivity projects including Maveric for AI-driven network modeling and Magma for cloud-native packet core, CloudlyNet delivers multi-vendor data ingestion, AI-driven anomaly detection and prediction, root-cause analysis, and closed-loop optimization. As a member of the NVIDIA AI-RAN Alliance, we leverage accelerated computing to enable intelligent, software-defined RAN architectures that improve performance, efficiency, and automation.
Our performance-based pricing model aligns our success with yours: zero upfront investment, with payment tied to realized operational savings. We begin with a fast Proof of Value—typically under six weeks—to establish baselines, demonstrate optimizations, and validate OpEx impact before any commercial commitment.
CloudlyPulse: Real Intelligence for Real Challenges
Industrial environments generate massive volumes of operational data from sensors, PLCs, SCADA systems, and legacy controllers—yet most of this “dark data” remains trapped and underutilized. Brownfield factories run mixed vendors, protocols, and generations of equipment, creating integration chaos. Maintenance is still largely reactive. Unplanned downtime is expensive. And most AI solutions are overbuilt for enterprises, require heavy internal expertise, and fail to show fast, measurable ROI—making adoption risky for mid-market industrial teams.
CloudlyPulse takes a brownfield-first approach: we securely connect to existing machines, sensors, and control systems—regardless of vendor or protocol—and extract high-fidelity operational data without disrupting production. That raw shop-floor data is then cleansed, standardized, and unified into a single source of truth. On top of this foundation, we deploy purpose-built AI models for predictive maintenance, production and process optimization, energy and resource efficiency, and quality and safety intelligence. All deployable edge-first with hybrid cloud architecture, with offline and degraded-network support—because in manufacturing, sending data to the cloud and waiting for a response isn’t good enough.
Our Pilot-to-Value delivery model starts with a $10,000 Industrial Data Readiness Assessment—a fast, tangible evaluation of your IT/OT infrastructure, machine connectivity, and high-impact AI use cases with a clear ROI report. From there, we scale through micro-pilots connecting 1–3 machines, through foundational data platforms, to full AI intelligence platforms. You prove value at every step before committing further.
What Actually Makes Us Different
The AI consulting market is crowded. Accenture has committed $3 billion to data and AI. McKinsey’s QuantumBlack employs 5,000 AI specialists. Every major consultancy and hundreds of startups are chasing the same enterprise AI dollar. So why Cloudly?
We’re operators, not advisors
We start where others finish.
Most AI firms start with the model. We start with the data pipeline, the integration layer, the compliance framework, and the change management plan. By the time we deploy a model, the hard work is already done—which is why our deployments stick.
We believe in ownership, not dependency.
We measure outcomes, not effort.
In Network AI, we offer performance-based gain-sharing—you don’t pay until operational savings are proven. In Industrial AI, our Pilot-to-Value model lets you prove ROI at $10K before committing six figures. In Healthcare AI, we measure real clinical outcomes, not vanity metrics. Across every vertical, our pricing is designed so that if AI doesn’t deliver measurable value, it shouldn’t cost you as if it did.