◆ Infrastructure Intelligence

See what your
AI infrastructure
really costs.

Precise cost, energy, and carbon analytics for GPU clusters, data warehouses, and cloud workloads. No estimates. No black boxes.

Open Dashboard Read Methodology
100%
Deterministic
0
Black Boxes
∞
Auditability
◆ AWS CUR◆ GCP BILLING◆ AZURE COST◆ SNOWFLAKE◆ DATABRICKS◆ NVIDIA GPU◆ CUSTOM WORKLOADS◆ AWS CUR◆ GCP BILLING◆ AZURE COST◆ SNOWFLAKE◆ DATABRICKS◆ NVIDIA GPU◆ CUSTOM WORKLOADS
01

Cost Analysis

Ingest billing data from cloud providers. Never estimate when exact data exists.

→ AWS CUR
→ GCP Billing
→ Snowflake
02

Energy Modeling

Calculate consumption using runtime, power draw, and PUE from documented sources.

E = (R × P × PUE) / 1000
03

Carbon Footprint

Convert energy to emissions using regional grid intensity from EPA, Ember, IEA.

C = E × Grid Intensity
◆ Core Principles
01

Customer Data First

Precision from your data, not inference or estimation.

02

Deterministic Math

Every calculation is explainable and reproducible.

03

Auditable Assumptions

Every value is visible, editable, and source-labeled.

04

Confidence Scoring

Every result includes data quality metrics.

Ready to see the truth?

Upload your data and get decision-grade infrastructure intelligence in minutes.

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