AI is the fastest-growing line item on every cloud bill. Inference, training, data pipelines — scaling fast, with zero optimization. Boards want visibility. CFOs want accountability. Engineering teams are flying blind.
PointFive is the only platform that analyzes the full AI cost stack: model selection, routing intelligence, hosting efficiency, caching & reuse, token economics, and infrastructure leakage. Not dashboards. Not alerts. Actual optimization.
6 months free for the first 5 qualifying enterprises.
Limited to the first 5 qualified enterprises. We'll review your details and schedule a quick conversation.
Numbers that define the AI cost optimization opportunity.
PointFive maps your entire AI cost surface — from managed LLM APIs to GPU infrastructure — into a single view with engineering-level granularity.
Monthly AI Spend
$4,260.62
Total AI Resources
11,257
Open Opportunities
8
Cost Breakdown by Service
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SageMaker Endpoint · pointfive-prod
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Bedrock Inference · pointfive-prod
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Bedrock Inference · pointfive-prod
PointFive doesn't just show you the bill. Our DeepWaste detection engine analyzes your AI workloads to surface optimization opportunities that generic cost tools miss entirely.
SageMaker (59% of AI spend)
Bedrock (41% of AI spend)
SageMaker Endpoint Review
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Detect over-provisioned Provisioned Throughput Units running at low utilization. Automatically recommend switching to pay-as-you-go for dev environments and rightsizing reserved capacity for production.
Up to 99% savings on underutilized PTUs
Identify deployments running older or inefficient models. Newer models often deliver better performance with dramatically lower token costs through improved caching and compression.
Up to 86% savings through model upgrades
Flag reserved AI capacity that sits idle — provisioned endpoints with no traffic, GPU instances waiting for jobs that never come. Reclaim or reallocate before the next billing cycle.
Eliminate spend on unused AI resources
Break down cost-per-request across input tokens, output tokens, and cached tokens. Identify prompt optimization opportunities and cache efficiency gains.
Reduce cost-per-inference by 40-60%
Traditional tools only show the bill. PointFive provides the precision needed to scale AI features profitably by breaking down costs into clear, actionable units.
Real-time cost tracking per token, per inference, and per user cost. Unlike cloud bills that summarize your spending, PointFive accounts at the individual token level.
Run "What-If" scenarios for PTU vs. PPM economics and model migrations before you commit.
Automatically map AI spend to specific deployments and engineering owners without manual tagging.
Only PointFive does this. Full-stack, agentless optimization for production AI workloads. Across Bedrock, SageMaker, Azure OpenAI, Vertex AI, OpenAI, and Anthropic.
Are you using the right model, on the right infra, for each workload?
Are you paying for the same inference twice? We'll find it.
Where are tokens being wasted? Where can prompts be optimized?
GPU compute, PTUs, reserved capacity — all right-sized?
By service, team, environment, and workload. Board-ready.
What you walk away with.
Who qualifies.