FinOps is Arian
Unified spend across Azure, AWS and Google Cloud, allocation and chargeback, unit economics including AI token spend, commitments and recommendations. Cost becomes a number you can act on and verify, not a surprise at month end.
Every cloud change costs money and moves risk. Yet finance sees the bill, security sees the exposure, and platform sees the ops, in three tools that never talk. AIFog exists to close that gap with two products that share one gate.
Ask two people in the same company "should we ship this?" and you will get two answers. The FinOps lead is watching a budget. The security lead is watching a risk graph. Neither can see the other's screen, so the trade-off that matters, whether the spend is worth the exposure, gets made by whoever shouts loudest, or not at all.
The tooling made it worse. A FinOps platform here, a CNAPP there, a policy engine, a remediation bot: four products, four data models, four bills, and four dashboards no single person owns. The clouds then shipped their own agents on top, adding more signals to reconcile.
We think the answer is not a fifth tool. It is convergence: put cost and risk through the same gate, let software draft the fix for both, and keep a person holding the approval. That is the whole idea behind AIFog, and it is why we built two products rather than one more dashboard.
Not a bundle of three features: one decision loop where each discipline reinforces the others, split along the line where the buyers and the owners actually differ.
Unified spend across Azure, AWS and Google Cloud, allocation and chargeback, unit economics including AI token spend, commitments and recommendations. Cost becomes a number you can act on and verify, not a surprise at month end.
One neutral view across the clouds, with their own advisors absorbed as sensors and deduplicated into a single signal. Provenance and freshness on every number, in both products.
A real gate that scores every change on security, cost and compliance, blocks what should not ship, and lets software draft the fix, executed only on a person's approval with a full ledger behind it.
Buy both and you get the thing no point tool delivers: a single decision that weighs cost, risk and policy at once, on a shared organisation with one sign-in.
The point of F.O.G is not more dashboards. It is fewer decisions made blind. When cost and risk share one gate, a team stops discovering an expensive mistake in next month's invoice, or a public bucket in next quarter's audit. They see it before it ships, and fix it in the tool they already use.
That is the business value we are building toward: less waste, less exposure, and less tool-stitching, replaced by two products where every fix is drafted by software, gated by policy, approved by a person, and proven with real numbers.
Agents draft and gate; people approve. Live cloud execution is opt-in, off by default, and withheld for the whole proof of value. Safe automation beats fast automation.
Azure, AWS and Google Cloud are first-class, with Kubernetes and Databricks for cost. A single-cloud answer to a multi-cloud problem is not an answer.
Sample data is labelled as sample data. A saving is realized only when the invoice confirms it. We would rather show a smaller true number than a bigger invented one, on the product and on this site.
Row-level tenant isolation, SSO with MFA, least-privilege access, private endpoints and a hash-chained audit ledger, built in and certified under ISO/IEC 27001:2022, not bolted on.
AIFog is early and independent, built in India for India first and the US second. We are shipping the platform for real, onboarding design partners, and raising to go faster. No borrowed logo wall; just the product and the teams choosing to build it with us.
If you run cloud where cost and risk collide, join as a design partner and shape what we ship. You get the proof of value, a direct line to the founder, and a say in the roadmap.
If you back founders early and this thesis resonates, we are raising. Say hello and we will send the deck and the numbers we can stand behind.