Finomics unifies cloud, AI, SaaS, private infrastructure, asset, and contract data in one FinOps and TokenOps operating layer. It gives Engineering, Finance, Operations, and executive leadership a shared view of technology cost, usage, ownership, and value. Instead of managing each category through separate tools, organizations can govern total technology spend across five connected capability areas: Cloud & Infrastructure, TokenOps & AI Spend, SaaS Spend, Asset Management, and Contract Management. Finomics is a FinOps Certified Platform, ISO/IEC 27001 certified, and SOC 2 Type II compliant. Organizations can begin identifying visibility gaps and actionable savings opportunities within days of connecting their data sources.
Finomics supports capabilities across the FinOps Framework’s Inform, Optimize, and Operate phases, helping FinOps practitioners collaborate with Engineering, Finance, Product, Procurement, Leadership, and allied operations teams.
Finomics provides a trusted view of cost and usage across technology categories: unified multi-cloud visibility across AWS, Azure, GCP, OCI, Alibaba, and Azure China/21Vianet; TokenOps visibility into AI model, API, and GPU consumption; SaaS cost and usage across 50+ connected applications; private cloud TCO modeling; a unified IT asset register; and a centralized contract repository. Role-based, drag-and-drop dashboards adapt the same data to practitioner, finance, operations, and leadership needs.
AI-powered anomaly detection flags spend spikes, idle resources, and commitment waste as they happen. Right-sizing, idle-resource cleanup, Reserved Instance and Savings Plan modeling, storage lifecycle tiering, and Spot Instance opportunities support rate and usage optimization. Contract entitlement-versus-usage comparisons surface renegotiation opportunities before renewal.
FinBot, Finomics’ agentic AI co-pilot, runs a continuous detect-explain-recommend-approve-act cycle through governed workflows, including bi-directional ServiceNow integration, configurable budget alert thresholds, and contract renewal governance. A complete, timestamped audit trail can be exported or streamed to observability and SIEM platforms.
Finomics is designed to work across heterogeneous technology environments rather than around a single provider.
Built on a shared data model, the following capabilities apply a consistent approach to cost, usage, ownership, optimization, and governance across cloud, AI, SaaS, private infrastructure, assets, and contracts.
Finomics gives engineering and FinOps teams a consolidated view across AWS, Azure, GCP, OCI, and Alibaba Cloud, eliminating the blind spots created by separate billing consoles. For VMware and Nutanix environments, a dedicated Private Cloud TCO module models CapEx, OpEx, staffing, maintenance, and facility costs against a configurable depreciation engine and compares private per-VM cost directly with public cloud pricing. The same financial model supports Finomics’ cloud-to-cloud and private-to-public migration analysis, grounding build-versus-buy and repatriation decisions in consistent cost data and evidence-based comparisons.
As AI spend becomes one of the fastest-growing and least-governed budget lines, Finomics extends FinOps discipline to the model, agent, and token level. It attributes AI cost and usage to provider, model, workload, team, and owner; connects AI consumption to business outcomes and measurable ROI; detects anomalies before they become overruns; supports budgeting, forecasting, showback, and chargeback; and applies policy guardrails and governed workflows across 10+ AI integrations.
Finomics connects to 50+ SaaS, data, and security platforms via OAuth or API key, refreshes cost and usage data daily, and retains up to 24 months of history. License utilization, seat allocation, and renewal timing appear alongside cloud and AI spend instead of being tracked separately in spreadsheets.
Finomics manages the full lifecycle of IT assets – laptops, servers, VMs, software, and network equipment – from discovery through procurement, deployment, and retirement, while tracking ownership, utilization, and compliance throughout. Its centralized contract repository connects vendor terms, entitlements, and renewals with actual usage and spend. AI-assisted term extraction, renewal alerts, and governed approval workflows support accountable vendor management.
AI-driven anomaly detection surfaces spend spikes, idle resources, commitment waste, and unauthorized services within minutes, with configurable alerting and one-click escalation to ServiceNow or Jira. Time-series forecasting models produce 30-day, 90-day, and 12-month projections with confidence bands. Optimization recommendations for right-sizing, idle cleanup, Reserved Instance modeling, storage tiering, and Spot Instance opportunities include projected savings, risk level, and one-click remediation, with realized savings validated after implementation.
No-code custom dashboards combine connected cloud, SaaS, and private-infrastructure sources into role-based views for Finance, Engineering, Executive, and FinOps personas, alongside flexible budget management with multi-level thresholds and burn-down forecasting. Itemized internal chargeback statements turn raw billing data into finance-ready reports. A bi-directional ServiceNow sync, paired with audit logs exported or streamed to observability and SIEM platforms, connects FinOps insight, IT action, and compliance evidence.
FinBot continuously analyzes connected cost and usage data to detect anomalies, explain likely drivers, recommend next steps, and route approved actions through governed workflows. A conversational interface lets users ask natural-language questions and receive immediate, chart-backed answers from the same shared data model.
Finomics is designed to meet organizations wherever they are in their FinOps journey. Teams can begin with focused visibility and optimization needs, then expand into broader governance across cloud, AI, SaaS, private infrastructure, assets, and contracts—all through one connected platform. Learn more at finomics.ai.