Unlock granular, real-time cost insights across multi-cloud, Kubernetes, and AI inference workloads. Xenonify delivers precise usage breakdowns so finance and engineering teams can make faster, data-driven decisions
Enable autonomous cost governance with AI agents that detect anomalies, right-size resources, and optimize AI/ML compute at runtime — even across edge and hybrid environments
Whether in Manufacturing, Healthcare, Robotics, or Technology, Xenonify adapts to domain-specific workloads and integrates effortlessly with your platforms to deliver accurate FinOps recommendations
Design intelligent FinOps agents that continuously analyze spend patterns, enforce budget policies, and trigger automated optimization workflows — reducing waste and improving financial accountability
Xenonify delivers real-time, granular cost intelligence across multi-cloud, Kubernetes, GPU, and LLM workloads
Reduce cloud and AI infrastructure costs with autonomous right-sizing, anomaly detection, and policy enforcement
Achieve end-to-end observability into resource usage, budget drift, and cost-performance trends
Xenonify intelligently routes workloads to the most cost-effective AI models and compute options
Secure, scalable infrastructure management with full visibility into cloud and AI workload costs, enabling accurate budgeting and efficient resource utilization
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End-to-end optimization for large language model workloads, offering real-time GPU insights, cost monitoring, and intelligent model efficiency improvements
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Automate and orchestrate FinOps workflows with AI agents that enforce policies, detect anomalies, and continuously optimize multi-cloud environments
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Monitor model performance, detect drift, and identify inefficiencies that directly impact cost, ensuring reliable and financially optimized AI operations
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Optimizes high-performance workloads powering smart factories, robotics, digital twins, and automation systems
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Supports large-scale e-commerce, personalization engines, and omnichannel systems by providing accurate cost insights, anomaly detection, and automated optimization
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Empowers telecom providers to manage massive-scale 5G, edge, and network workloads with unified cost observability
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Improves the runtime efficiency and cost-effectiveness of robotics algorithms, simulation models, and autonomous systems
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Xenonify aggregates cloud, GPU, Kubernetes, and AI workload telemetry into a single financial control layer
Maintain a complete, continuously updated registry of compute assets, models, runtimes, and integrations
Monitors workload behaviors, detects anomalies, triggers optimization actions, and enforces guardrails
AI continuously monitors systems for risks before they escalate. It correlates signals across logs, metrics, and traces. This ensures faster detection, fewer incidents, and stronger reliability
AI converts camera feeds into instant situational awareness. It detects unusual motion and unsafe behavior in real time. Long hours of video become searchable and summarized instantly
Your data stack becomes intelligent and conversational. Agents surface insights, detect anomalies, and explain trends. Move from dashboards to autonomous, always-on analytics
Agents identify recurring failures and performance issues. They trigger workflows that resolve common problems automatically. Your infrastructure evolves into a self-healing environment
AI continuously checks controls and compliance posture. It detects misconfigurations and risks before they escalate. Evidence collection becomes automatic and audit-ready
Financial and procurement workflows become proactive and insight-driven. Agents monitor spend, vendors, and contracts in real time. Approvals and sourcing decisions become faster and smarter