The race to deploy Generative AI has moved from experimental labs to core production environments. With that shift comes a new challenge: the "Unit Economic Fog". This fog emerges because spend often precedes revenue, leaving organizations with t aggregated cloud bills that lack the high-resolution detail needed to measure true ROI.

‍

Today, we’re lifting that fog. We’re  excited to announce the new standard for Multi-Cloud GenAI Analysis. PointFive offers a unified observability experience bringing your AI spend and usage from AWS Bedrock, GCP Vertex AI, and Azure OpenAI into a single, actionable view. Teams can finally connect GenAI usage to cost drivers and make informed decisions as workloads scale.

‍

‍

One View to Rule the Foundation Models

We transform your "total AI spend" number into a high-definition efficiency map by fusing your billing data with deep usage metrics. While other tools are limited to a handful of integrations, our GenAI analytics engine is built for the reality of modern, decentralized engineering. It provides a single source of truth for GenAI cost attribution. Teams can clearly see spend across OpenAI, Anthropic, and hundreds of foundation models from the three major providers.

‍

Strategic Insights for the AI Era

This dashboard doesn't just show you how much you are spending; it tells you how to optimize. By analyzing usage trends per model and provider, you can extract unique insights that were previously buried in fragmented logs:

• Cost Efficiency Benchmarking: Instantly see which provider offers the lowest cost per token for your specific model family.
• Workload Behavior: Identify which models are output-token heavy versus those that process high volumes of input.
• Cache Efficiency: Determine which models and providers are utilizing cached tokens most effectively to reduce your baseline costs.
• Granular Attribution: Extend your view into model usage by account or track image generation usage across different cloud environments.

‍

From Visibility to Engineering Action

At PointFive, we believe visibility is only the first step. Our platform is the first AI-native cloud efficiency platform, built to show you waste and help you fix it.

‍

With our new multi-cloud view, you can identify over-provisioned capacity and inefficient model choices before they scale. Once PointFive detects a saving opportunity, our AI Co-workers and Pointer (AI Assistant) can help your engineering team simulate model migrations or rightsize capacity without breaking a sweat. This brings cost optimization to everyday engineering work.