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: F.O.G — FinOps, Observability, Governance — tied into a single decision, on AWS, Azure, GCP and Kubernetes.
Ask two people in the same company "should we ship this?" and you'll 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 tradeoff that actually matters — is the spend 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 isn't a fifth tool. It's convergence: put cost and risk on the same screen, run them through the same policy gate, and let AI act on both — with a human holding the approval. That's the whole idea behind AIFog.
Not a bundle of three products — one decision loop where each reinforces the others.
Unified multi-cloud spend, allocation and chargeback, unit economics (including AI/LLM tokenomics), forecasting, commitments and optimization — so cost is a number you can act on, not a surprise at month-end.
One neutral view across AWS, Azure, GCP and Kubernetes — and the clouds' own advisors absorbed as sensors, deduped into a single signal. Cost, usage and posture in the same place, not three consoles.
A real policy gate that scores every change on spend and security, blocks what shouldn't ship, and lets AI draft the fix — executed only on a human's approval, with a full audit trail.
Tie them together and you get the thing no point tool delivers: a single decision that weighs cost, risk and policy at once.
The point of F.O.G isn't more dashboards — it's fewer decisions made blind. When cost and risk share one gate, a team stops discovering a $12k/month 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's the business value we're building toward: less waste, less exposure, and less tool-stitching — replaced by one control plane where every fix is drafted by AI, gated by policy, approved by a human, and proven with real numbers.
Agents draft and gate; people approve. Live cloud remediation is opt-in and off by default. Safe automation beats fast automation.
AWS, Azure, GCP and Kubernetes are first-class. A single-cloud answer to a multi-cloud problem isn't an answer.
Demo data is labeled as demo. We'd rather show a smaller true number than a bigger invented one.
Row-level tenant isolation, SSO, MFA, least-privilege access and full audit trails — built in, not bolted on.
AIFog is early and independent. We're building with our first design partners, shipping the platform for real, and actively raising to accelerate. No inflated logo wall, no borrowed credibility — 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. If you back founders early and this thesis resonates, we're raising — let's talk.
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