PLATFORM

The MetaFinOps Platform

A unified AI-native FinOps engine that ingests cloud billing, GPU telemetry, and token usage data to deliver actionable cost intelligence.

AWS GCP Azure Kubernetes Terraform

Core Engines

Six purpose-built engines that power every layer of the MetaFinOps platform.

AI Cost Engine

Track GPU spend, model costs, and token usage across all providers. Attribute costs to teams, experiments, and individual model runs.

GPU Compute Engine

Real-time GPU utilization monitoring with idle detection and right-sizing recommendations to eliminate waste across clusters.

DevOps Guardrails

CI/CD cost checks, PR annotations, and Terraform cost previews that catch budget overruns before they reach production.

Carbon Engine

CO2e tracking per region, green workload recommendations, and ESG-ready reporting for sustainability compliance.

Optimization Engine

ML-powered recommendations for spot instances, reserved capacity, and GPU scheduling to maximize cost efficiency.

Governance & Policies

Team budgets, approval workflows, audit logs, and compliance packs that enforce financial accountability across the organization.

ARCHITECTURE

How Data Flows Through MetaFinOps

The MetaFinOps platform operates on a 5-layer pipeline architecture that transforms raw cloud and GPU data into actionable intelligence.

Data is ingested from cloud providers, normalized into a unified cost model, enriched with carbon and utilization metadata, processed through our ML analytics engine, and delivered through interactive dashboards and APIs.

Each layer is independently scalable and designed for enterprise-grade reliability, ensuring sub-minute data freshness across all connected sources.

┌────────────────────────────────────┐ │ CLOUD PROVIDERS │ │ AWS | GCP | Azure | K8s │ └────────────────┬───────────────────┘ │ ▼ ┌────────────────────────────────────┐ │ DATA INGESTION │ │ Billing APIs | GPU Telemetry │ │ Token Logs | Usage Metrics │ └────────────────┬───────────────────┘ │ ▼ ┌────────────────────────────────────┐ │ ENRICHMENT & CARBON MAPPING │ │ Cost Normalization | CO2e Calc │ │ Tag Enrichment | Attribution │ └────────────────┬───────────────────┘ │ ▼ ┌────────────────────────────────────┐ │ ANALYTICS & ML ENGINE │ │ Anomaly Detection | Forecasting │ │ Recommendations | Scoring │ └────────────────┬───────────────────┘ │ ▼ ┌────────────────────────────────────┐ │ VISUALIZATION & APIs │ │ Dashboards | REST API | Alerts │ │ Reports | Webhooks | Slack │ └────────────────────────────────────┘

DASHBOARDS

Live Platform Metrics

MetaFinOps Dashboard

Live

API

Developer-First API

Query cost and usage data programmatically with our RESTful API.

            Token Cost API
POST /api/token-usage

{
  "model": "gpt-4-turbo",
  "team": "ml-research",
  "period": "2025-01",
  "input_tokens": 2450000,
  "output_tokens": 890000,
  "total_cost": 142.80
}

            GPU Usage API
POST /api/gpu-jobs

{
  "cluster": "us-east-gpu-01",
  "gpu_type": "A100-80GB",
  "job_id": "train-llm-7b-v3",
  "duration_hrs": 48.5,
  "avg_utilization": 0.73,
  "cost": 1940.00
}

INTEGRATIONS

Built on Modern Infrastructure

Python FastAPI BigQuery PostgreSQL Vertex AI React Grafana Terraform Kubernetes Airflow

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