One read-only sweep across your clouds and AI providers: idle infrastructure, token spend per model, dormant keys, and quantified fixes — every finding sealed into a verifiable receipt.
Token spend is invisible to classic FinOps: direct-API usage bills outside the cloud, keys go untagged, and model deployments look free until the invoice lands. QuantumReckon reads your AI providers the way it reads your clouds — deployments, token flow per model, key hygiene — and prices what it measures.
Measured on our own estate before any customer’s — every number above is backed by a sealed receipt in the product.
A sweep isn’t a report you run and forget — reckon keeps sweeping on a schedule, compares each run to the last, and tells you the moment something moves. FinOps that watches, not FinOps you have to remember.
Daily, automatic, across every connected cloud and AI provider. Your estate stays current without anyone clicking.
A new resource appears, a run-rate jumps, a model’s token volume spikes — each becomes a receipted finding, compared against the previous sweep.
Set a monthly budget and a webhook. Breaches, new waste, and anomalies post to your channel after every sweep. Quiet weeks stay quiet.
Where the run-rate is heading — 30 days, a quarter, a year — banded by what recent sweeps actually observed. A projection, never a fabricated curve.
Cost dashboards report a number and leave the investigation to you. QuantumReckon inspects the estate, explains its reasoning, and produces auditable evidence for every finding.
Azure, AWS, GCP, and Hetzner connect alongside Anthropic and OpenAI admin APIs — infrastructure priced per resource, AI priced per measured token, all in one command deck.
Every finding carries its classification, confidence, and the evidence behind it. Hypotheses stay on the watchlist — flagged for a human, never counted as reclaimable — and estimates are always marked as estimates.
Each finding and reclaim command is sealed into a tamper-evident receipt — canonical JSON, SHA-256, hash-chained — inspectable and exportable, so results hold up in an audit.
Counts only spend that genuinely leaves your account, so “reclaimable” always means real money. AI run-rates derive from measured input/output token volumes at per-model rates — never a modelled guess.
A single read-only connection is enough to begin. Watch the sweep run phase by phase, and every result arrives with the evidence to back it.
Grant a least-privilege read role — keyless where the cloud supports it (an AWS role ARN or Azure Key Vault reference), or an AI provider admin key, envelope-encrypted at rest. Credentials are verified before anything is stored.
Inventory, cost and utilisation correlate live — CPU for compute, tokens for AI — then classification: idle, duplicate, orphaned, failed, and watchlist observations that need a human eye.
Review the treemap, trend, and evidence-linked reads; run each generated fix on your terms; inspect the sealed, hash-chained receipt behind every result.
Before reaching a single customer, the product swept the founder’s own multi-cloud, multi-provider estate. The numbers below are from those sweeps — receipts included, inspectable in the product.