AI Cost Intelligence · Beta

Every AI dollar,
accounted for.

AIntOps monitors, analyzes and optimizes your spending across OpenAI, Anthropic... — then tells you exactly what to do about it. Real-time dashboards, anomaly detection, and model-switching recommendations built for teams who can't afford to guess.

See how it works ↓
"Switch gpt-4o → gpt-4o-mini on 73% of your workload and save $432/month."
That's the kind of insight AIntOps surfaces automatically.
30 sec
Provider setup
<50ms
Dashboard query (30-day)
100M+
Events without slowdown
10×
Storage compression
0 leakage
Multi-tenant isolation
// How it works

From zero to full visibility
in under 5 minutes.

No infrastructure changes. Paste a key, get a dashboard. That's it.

01

Connect your providers

Paste your Admin API key once per provider. Credentials encrypted at rest with Fernet AES-128, decrypted only at API-call time.

Settings → Providers
→ Connect → OpenAI ✓
02

See everything live

Real-time dashboards per provider, model, team, and feature. Drag-and-drop widgets. Data synced every hour.

ai_events hypertable
→ agg views → <50ms
03

Get alerted instantly

Z-score anomaly detection catches unexpected spikes. Budget alerts fire at warning and critical thresholds via Slack or email.

Anomaly Detector
→ Slack / Email ✓
04

Act on recommendations

The AI engine quantifies savings for each suggestion — model substitution, prompt compression, caching — with exact dollar amounts.

Recommendations
→ "Save $432/mo" ✓
// Features

Everything built for FinOps-grade
AI governance.

Not just dashboards — a complete cost intelligence layer for AI teams and agencies.

📊
Core

Real-Time Cost Dashboards

Per-provider, per-model, per-team breakdowns updated live. Customizable drag-and-drop widget layouts so every team sees what matters to them.

→ Token consumption · Request volume · Latency
🧠
AI Engine

Anomaly Detection & Recommendations

Z-score baselines detect unexpected cost spikes automatically. The recommendation engine quantifies savings for every model substitution it suggests.

→ Runs every 15 min · Recs refreshed every 24h
🛡️
Governance

Budget Alerts & Guardrails

Set warning and critical thresholds per organization. Budget monitor runs every 30 minutes. Notifications via Slack webhooks or email, per channel.

→ Budget Monitor · 30-min evaluation cycle
🏢
Multi-Tenant

Multi-Tenant by Design

Built for teams and agencies. Every query scoped by organization_id. Role-based access (owner / admin / member) with granular permissions and member invites.

→ 404 over 403 · Zero cross-org leakage. Tested.
🔐
Security

Enterprise-Grade Security

Fernet AES-128 + HMAC encryption for all provider credentials at rest. Short-lived JWT access tokens with refresh rotation and anti-stampede queuing.

→ bcrypt · Last-owner protection · Audit trail
⚡
Performance

TimescaleDB at the Core

Time-series hypertables chunked by day handle 100M+ events without slowdown. Continuous aggregates return 30-day dashboard queries in under 50ms.

→ 10× compression · 90-day raw retention
// Stack

Built on a serious foundation.

Not a SaaS wrapper. A purpose-built, production-grade platform.

Backend
FastAPI async
SQLAlchemy 2 async
Pydantic 2
Alembic migrations
Database
PostgreSQL 16
TimescaleDB hypertables
Continuous aggregates
Redis cache / queues
Frontend
React 18 + Vite
Tailwind CSS
Zustand state
Recharts
Infrastructure
Docker Compose
APScheduler async
JWT + bcrypt auth
Fernet encryption
<50ms
30-day dashboard query
100M+
Events, no degradation
10×
Compression after 7 days
90d
Raw retention · agg forever
Why TimescaleDB?
Cost events are time-series data. Hypertables chunked by day + continuous aggregates = dashboards that stay fast at any scale.

Your AI costs are
out of control.
Fix that today.

Join the beta.