AI Infrastructure Cost Intelligence
for AWS
MLCostIntel attributes every dollar of AWS spend across the full AI/ML stack — training, inference, generative AI, document AI, and AI-supporting infrastructure. Full-stack visibility, anomaly detection, and a prioritized roadmap to optimize spend across every layer of your AI footprint.
Built for ML Platform Engineers, VP Engineering, and FinOps teams running AI on AWS.
Free. No credit card. Read-only access to your AWS account.
The Problem
Your AI footprint spans more than SageMaker — your cost intelligence should too
Generic FinOps tools can't see the AI/ML stack
They lump training, inference, Bedrock, and document AI services into general compute — no attribution by workload, no visibility into the supporting infrastructure that AI workloads depend on.
Your AI cost picture is incomplete
You see compute and a bit of GPU. You don't see what training cost vs. inference vs. generative AI vs. the data and networking that supports them. Decisions get made on partial information.
Savings decay without continuous intelligence
One-time audits don't survive contact with shipping AI teams. New endpoints, new experiments, new generative AI workloads — visibility has to refresh as fast as the stack does.
How It Works
From connection to savings in three steps
Connect Your AWS Account
Read-only IAM role via CloudFormation. Under 5 minutes. Your data stays in your account.
Get Your AI Cost Intelligence Assessment
We attribute every dollar of CUR spend across training, inference, generative AI, document AI, and AI-supporting infrastructure — the full AI/ML stack on AWS.
Get Your Optimization Roadmap
Optimization score, prioritized recommendations, and an implementation plan to realize savings across every layer of your AI footprint.
Pricing
Two steps. Assessment, then continuous intelligence.
A focused assessment establishes your full-stack AI cost baseline and recovers savings. Continuous intelligence keeps it from drifting back as your AI footprint grows.
Assessment
A one-time engagement that delivers your baseline, optimization roadmap, and validated savings opportunities. Required before paid Monitoring activates.
Free
Free Assessment
$0
Self-serve preview
- ✓ Connect your AWS account
- ✓ Savings identified by category
- 🔒 AI/ML spend breakdown
- 🔒 Optimization score (A–F)
- 🔒 Detailed recommendations
Locked items unlock with the Premium Assessment.
Start FreePremium Assessment
Premium
Custom-scoped
One-time engagement + success fee
Sales-led, scoped to your environment
- ✓ Full AI/ML cost baseline across all accounts
- ✓ Stakeholder workshops with finance, engineering, ML
- ✓ Validated savings roadmap with named owners
- ✓ Implementation guidance & quick wins
- ✓ 90-day savings realization tracking
- ✓ Activates your Monitoring tier on completion
Success-fee aligned: we share in the savings we deliver. Pricing scoped per engagement.
Talk to SalesMonitoring
Ongoing cost intelligence that keeps your savings from drifting back. Activates after the Premium Assessment completes.
Monitoring Starter
Starter
$500/mo
$5,000/yr — save 17% ($1,000/yr)
Up to $50K ML spend/mo
- ✓ Full AI/ML spend breakdown
- ✓ Optimization score with grade (A–F)
- ✓ Resource-level cost attribution
- ✓ Daily cost data refresh
- ✓ Cost anomaly alerts
- ✓ Savings roadmap with guides
Monitoring Standard
Standard
$2,000/mo
$20,000/yr — save 17% ($4,000/yr)
$50K – $150K ML spend/mo
- ✓ Everything in Starter, plus:
- ✓ Executive-ready assessment reports
- ✓ Priority support
- ✓ Team-level cost attribution
- ✓ Experiment cost tracking
Monitoring Scale
Scale
$7,500/mo
$75,000/yr — save 17% ($15,000/yr)
$150K – $500K ML spend/mo
- ✓ Everything in Standard, plus:
- ✓ Advanced Kubernetes cost attribution
- ✓ Multi-account support
- ✓ Custom anomaly thresholds
- ✓ Dedicated onboarding
Full-Stack Coverage
Cost intelligence across the entire AI/ML stack
Most tools see compute. We attribute spend across every layer of your AI footprint — training, inference, generative AI, document AI, and the supporting infrastructure that ties them together.
Training Cost Intelligence
Per-job, per-experiment, and per-model cost attribution across SageMaker training, EC2 GPU clusters, and Kubernetes-managed training workloads. Catch runaway jobs and underutilized GPUs before they hit your invoice.
Inference Cost Intelligence
Endpoint-level visibility across SageMaker real-time and serverless inference, batch transforms, and self-managed inference on EC2 or EKS. Surface idle endpoints, autoscaling cost overruns, and cost-per-prediction by model.
Generative AI Cost Intelligence
Per-model and per-application cost visibility across Bedrock, third-party LLM APIs, vector databases, and embedding pipelines — including prompt caching efficiency and token-level anomaly detection.
Document AI Cost Intelligence
Attribution for Textract, Comprehend, Rekognition, and custom document processing pipelines. Track cost per document, per workflow, and per business function across your document AI footprint.
AI-Supporting Infrastructure
Storage, networking, observability, data pipelines, and orchestration that AI workloads depend on — classified, attributed, and tied back to the models they serve. The hidden 30–40% of AI spend most tools miss.
Full-Stack Spend Classification
Every dollar automatically classified as AI/ML-direct, AI/ML-supporting, or general infrastructure — with team, model, and pipeline attribution that survives across SageMaker, EKS, and your CI/CD platform.
Security
Your data stays secure
Read-Only Access
We never modify your infrastructure. Read-only IAM role with minimal permissions.
CloudFormation Deploy
You control exactly what we access. One-click CloudFormation template you can review.
No Credentials Stored
We use AWS STS temporary sessions. No long-lived keys, no credentials in our database.
Security-First Design
Encrypted at rest and in transit. Tenant-isolated data. SOC 2 compliance on our roadmap.