The CFO's toolkit for AI & cloud spend.

Drop-in LLM observability. Logs every prompt and response with token cost, latency, and per-user / per-key spend — a one-line proxy change to start seeing where the tokens go.

LLM engineering platform with cost and usage tracing across chains and multi-step agents — so spend is attributed to a whole agent run, not just a single call.

AI gateway that puts budgets, rate limits, and per-virtual-key cost controls in front of every provider — enforce a spend ceiling instead of discovering it at month-end.

Proxy that normalizes 100+ model providers behind one API, with per-key budgets and spend tracking — one place to cap and report on a sprawling model mix.

Sits in front of your model providers with caching, rate limiting, and per-request cost + latency analytics — serve repeat prompts from cache instead of paying for them again.

Usage metering for AI and SaaS — meter tokens and events to attribute and bill cost per customer, feature, or team.

Observability and analytics for LLM apps, with token, cost, and latency tracking broken down by prompt, model, and user.

LLM gateway and AI deployment platform with budgets, rate limits, and per-team spend controls across providers.

Cost reporting and optimization across AWS, GCP, Azure, Datadog, Snowflake and more, with per-team allocation and savings recommendations — fast to stand up.

Cost intelligence that maps cloud spend to unit economics — cost per customer, feature, or product — so finance can connect the cloud bill to the P&L and gross margin.

Enterprise FinOps platform (IBM) for cost allocation, forecasting, chargeback/showback, and rightsizing across clouds — built for scale and governance.

Unifies cloud, Kubernetes, and SaaS spend with virtual tagging ("MegaBill") — so shared and untagged cost finally gets allocated to an owner.

FinOps platform purpose-built for finance + engineering collaboration across cloud and Kubernetes, with budgets, anomalies, and accountability workflows.

AWS cost optimization with automated rightsizing and commitment management — points the savings engine directly at an AWS-heavy footprint.

ML-driven rightsizing for cloud VMs and Kubernetes — matches each workload to the cheapest instance that still meets its performance needs.

Cloud cost management with contextual allocation, anomaly detection, and forecasting built for the engineers who own the spend.

Real-time Kubernetes cost monitoring and allocation by namespace, deployment, label, and team, with rightsizing recommendations for requests and limits.

The CNCF open standard for Kubernetes cost monitoring — vendor-neutral allocation you can run yourself and build on.

Automated Kubernetes cost optimization — rightsizing, bin-packing, and spot automation across AWS, GCP, and Azure, applied continuously.

ML-based Kubernetes resource rightsizing that trims requests and limits to cut waste without hurting performance.

Autonomously manages AWS and GCP commitments (Reserved Instances, Savings Plans) to maximize the effective savings rate — with no long lock-in of your own.

Automates spot-instance and commitment usage to cut compute cost while protecting availability — squeezes the cheapest capacity out of interruptible workloads.

Automates cloud commitments and dynamically scales compute and storage in real time, so you buy savings without locking yourself in.

Flexible, insured commitments that lower the risk of reserving spend — shorter terms with guarantees instead of 1–3 year lock-in.

Automated AWS savings — commitments, rightsizing, and storage optimization managed on autopilot.

SaaS buying and procurement platform that benchmarks real pricing and helps negotiate renewals — turns "is this quote fair?" into a data answer.

SaaS management for full visibility into every application, license, and renewal date — so you can rationalize licenses and kill shelfware.

Spend management and procurement for SaaS and beyond, pairing workflow with pricing intelligence to drive savings on what you buy.

SaaS management and subscription control with virtual cards — every subscription on its own card, visible and cancelable in one place.

Managed SaaS buying and renewals with negotiation handled for you — benchmarks plus a team that does the haggling.

SaaS procurement and management that optimizes subscriptions, renewals, and pricing with benchmark data.

SaaS management with deep app-engagement data to right-size licenses by how much each app is actually used.

SaaS management platform to discover shadow IT, automate on/offboarding, and cut spend on unused apps.

Cost Explorer, Budgets, and ML-based Cost Anomaly Detection — native visualization, forecasting, and alerting for AWS, free to use.

Billing reports, budgets, and recommendations across GCP, with BigQuery billing export for custom analysis.

Cost analysis, budgets, and recommendations for Azure (and connected AWS), built into the portal.