FinOps for the AI Era

The cost management platform built natively for AI infrastructure. Track, optimize, and govern spend across LLM APIs, GPU compute, and AI services — all in one place.

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Unified AI Cost Dashboard

Single pane of glass across every AI provider and GPU resource.

AI Cost Dashboard — February 2026
Live

Total AI Spend this month

$47,291

↑ 14% vs last month

Monthly budget

$50,000

94% used

OpenAI API

39%

$18,400

AWS Bedrock

26%

$12,100

GPU Compute

25%

$11,900

Self-hosted

10%

$4,891
⚠

GPU idle time detected

34% waste on 2x H100s — estimated $3,200/mo recoverable

Why AI costs are different

AI workloads break traditional FinOps.

Token-based pricing, GPU scarcity, and multi-provider sprawl make AI spend 5× more volatile than traditional cloud.

Unpredictable Pricing

Token-based billing, GPU spot markets, and agentic workflows create cost swings that traditional tools can't track.

Multi-Provider Sprawl

Teams use OpenAI + Anthropic + Bedrock + self-hosted models simultaneously. No unified cost view exists.

Inference Dominates

80–90% of AI lifecycle cost is inference, not training. Yet most tools focus on compute rightsizing.

Non-Technical Buyers

Product, marketing, and leadership teams drive AI spend directly — outside traditional engineering budgets.

AI Cost Visibility

Track every token, GPU hour, and model call

Token & Model Usage

Last 7 days · All models

Model
Tokens
Trend
Cost
GPT-4oOpenAI

12.4M

↑ 18%
$4,820
Claude SonnetAnthropic

8.1M

↓ 5%
$2,190
Llama 3.1 70BSelf-hosted

22.6M

→ 0%
$1,840
Gemini 2.0Google

3.2M

↑ 42%
$960

Token & Model Tracking

Real-time model spend

Track token usage, cost trends, and per-model spend across OpenAI, Anthropic, Google, and self-hosted models in a single view.

GPU Fleet

4× H100

2 idle

Utilization

67%

↓ Below target

Idle Waste

$3,200

per month

GPU Utilization67%
0%Target: 85%+100%
H100-3: Idle since 14:32 — no jobs queuednow
H100-0: Running inference batch (GPT-4o fine-tune)3m ago
H100-1: Scheduled maintenance window1h ago

Downsize to 2× H100 — save $6,400/mo with current workload

GPU Utilization Monitor

Eliminate GPU idle waste

Track GPU utilization across your H100 and A100 fleet. Get instant alerts on idle capacity and right-sizing recommendations.

AI Unit Economics

February 2026 · All workloads

Cost / inference

$0.0054

↓ 12%

Cost / active user

$2.41/mo

↑ 8%

Cost / ticket deflected

$0.18

↓ 23%

Total AI ROI

340%

Cost savings +
deflection value

AI Unit Economics

Cost-per-inference & ROI

Break down AI spend into unit economics: cost per inference, per user, per ticket deflected — and total AI ROI.

Integrations

Connect your entire AI stack

Native integrations with OpenAI, Anthropic, AWS Bedrock, Google Vertex AI, Azure OpenAI, and all major GPU providers.

OpenAI API Budget

95% spent

$9,500 of $10,000 monthly limit

GPU Spend Alert

↑ 40% spike

Unexpected increase on inference cluster

Anthropic API

On track

$2,100 of $4,000 projected

⚡New: Pre-deployment cost estimation available in CI/CD

Alerts

AI cost guardrails

Budget policies, anomaly detection, and governance per team, project, and model. Pre-deployment cost estimation in CI/CD.

Smart Optimization

AI-Powered Cost Optimization

Automated recommendations that save 25–40% on AI infrastructure spend within 30 days.

AI Optimization Opportunities

Opportunity
Provider
Savings
Priority
Switch summarization from GPT-4o to Claude Sonnet
Anthropic
$2,100/mo
High
Enable semantic caching for FAQ responses
All
$1,840/mo
High
Rightsize GPU instances (4x H100 → 2x H100)
AWS
$6,400/mo
Medium
Use Gemini Flash for classification tasks
Google
$890/mo
Low
Reserved GPU capacity (1-year commitment)
AWS
$5,600/mo
Review

EU AI Act Compliance

Built for European AI Compliance

GDPR-native. EU AI Act ready. Data residency by default.

EU AI Act Compliance

GDPR-native · EU data residency

Standard
Status
Score
EU AI Act
Compliant
96%
GDPR
Compliant
100%
ISO 27001
Compliant
98%
Carbon Tracking
Active
Per-workload

Built in the EU

Track AI transparency requirements, carbon footprint per model, and cost-per-inference for EU AI Act reporting.

Compliance

EU AI Act & GDPR tracking

Monitor compliance scores across EU AI Act, GDPR, ISO 27001, and carbon tracking — all in one dashboard built for European teams.

Data Governance

AI data stream auditing

Every API call, token, and model decision logged and auditable. Full lineage for EU AI Act transparency requirements.

GPT-4o inference2.4g CO₂
Claude Sonnet1.1g CO₂
Self-hosted LLM0.8g CO₂

Per 1,000 requests · Feb 2026

Carbon Tracking

Per-workload carbon footprint

Track CO₂ per inference, per model, and per team. Report carbon impact alongside cost for EU sustainability requirements.

Model Comparison

Summarization task
Model
Cost/1K req
Latency
Quality
GPT-4o
OpenAI
$0.0078
1.2s
94%
Claude SonnetBest
Anthropic
$0.0054
0.9s
96%
Gemini 2.0
Google
$0.0041
1.4s
91%

Switch summarization to Claude Sonnet — save $2,100/mo with equal or better quality

Model Comparison

Find the most cost-efficient model

Compare cost, latency, and quality across all your AI providers. Get instant recommendations to save thousands per month.

How it works

Up and running in minutes

1
5 min

Connect

Link your AI providers via API keys. OpenAI, Anthropic, AWS Bedrock, Azure OpenAI, GPU clusters.

2
Instant

See

Unified dashboard shows every dollar: tokens, GPU hours, model costs, team attribution.

3
Day 1

Optimize

AI-powered recommendations: switch models, rightsize GPUs, enable caching, kill idle resources.

4
Ongoing

Govern

Budget policies, anomaly alerts, cost guardrails per team. Pre-deployment cost estimation in CI/CD.