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Cloud and AI operations

Most tools report what they found. We also report what we could not see.

Conductor reads your cloud estate every hour with its own credentials, records what changed and what it cost, and marks the edges of its own knowledge. An inventory that does not say where it stopped looking reads as complete — and that is how a monitoring tool tells you confidently that there is nothing there.

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What Conductor is

Two halves, and they answer different questions.

One reads the infrastructure you already run. The other sits between your team and the models you already pay for. They share a ledger, so the cost of running something and the cost of asking about it stop being separate conversations.

One request, end to end tenant‑sealed · one ledger
CONDUCTOR 1 · Gate trivial input never reaches a model 2 · Memory attached as reference, never as instruction 3 · Route by tier — registered models only Client app, IDE or agent ask no model call Cloud estate read every hour, read-only what it found REGISTERED MODELS billed routine small, fast reasoning the larger one you pay for escalation only when it is asked for every request Ledger what it cost, and what it did not — written whether or not a model was involved
The short arrow back to the client is the one to look at. Somebody types “thanks”, or asks again what the production database host is. Everywhere else that is a billed round trip to a frontier model. Here it is answered before a model is involved, and it still lands on the ledger — because a request that cost nothing is only provable if it was written down.

It reads your cloud

Every hour, with a read-only credential you issue and can revoke. No agent to install, no write access anywhere.

  • An inventory you did not assembleMachines, disks, databases, addresses, security groups — counted from the provider’s own API, not from a spreadsheet somebody maintains.
  • Findings with a number behind each oneA database reachable from the internet. A key nobody has rotated. An address billing monthly and routing nowhere. Each states the evidence it rests on.
  • An audit trail that outlives the provider’sHuawei keeps seven days of trace history. We read it hourly and keep it, so “who changed this, and when” is still answerable in March about something that happened in January.
  • The bill, projectedWhat this month is tracking to against last month — stated as a projection, with the reasons it might be wrong written next to it.

It sits in front of your models

An OpenAI-compatible endpoint. Your keys, your models, your account — a tenant that registers its own models is served from those and nothing else.

  • Trivial input never reaches a modelSomeone types “thanks”. That is a billed round trip to a frontier model everywhere else, and there is no product on the market that stops it.
  • Memory grounded in what we observedNot a cache that replays an old answer. What the hourly read found goes into the model’s context as reference, labelled as data, never as instruction.
  • A ledger that records what did not happenEvery request is written down whether or not a model was involved. Vendors report what you spent; nobody reports what you avoided.
  • Nothing risky runs unaskedReads run freely. Anything that changes a production system or moves money stops and waits for a person, and that tier can never be auto-approved.

Why this is still open

We checked every product that claims to close it.

Eighteen AI gateways, ten memory platforms, and the memory features now shipped by OpenAI, Anthropic, Google, AWS and Microsoft. Routing, budgets, key management and spend dashboards are solved and largely free — we do not sell those. Two things are not solved anywhere.

Nothing answers without calling a model

A filter can block a request before it reaches the model, but a block is a refusal, not an answer. Caches only help once a model has already answered. Routers send cheap questions to a cheaper model — still a call, still tokens, still latency.

0 of 18 gateways

Nothing remembers that a problem was solved

Every memory product retrieves context that goes into a prompt, and the prompt still goes to a model. They store statements. None stores an outcome: this was solved, this is what worked, and these are the conditions under which it still holds.

0 of 10 memory platforms

How we work

We start by measuring, not by selling you software.

Teams that deploy AI with an outside partner reach production roughly twice as often as teams doing it alone. The reason is not the software. It is that somebody does the unglamorous work of finding out what is actually happening first.

Diagnostic

FIXED FEE · 2–3 WEEKS

We point Conductor at your estate and your logs, and tell you two things: what is running that you are paying for and nobody owns, and what share of your AI spend answered a question you had already paid to answer. You keep the report either way.

Build

SCOPED FROM THE DIAGNOSTIC

We learn your products, your infrastructure and your workflows, then deploy Conductor against them — your models, your keys, your data, in your environment or ours.

Run

ONGOING

It improves with use, because every resolved task is recorded as resolved and every hourly read adds to what it knows about your estate. We report the ledger monthly: what ran, what it cost, and what it would have cost without us.

The platform

One platform, four modules, and the networks underneath.

Take one module or take all of them. Which of them apply to you is what the diagnostic decides — it starts from the estate you actually have rather than the one a brochure assumes you have.

MODULE 01

Survey

What you have, and what is wrong with it

A read-only reading of your cloud account, refreshed every hour with a credential you issue and can revoke. Machines, disks, databases, load balancers, public addresses, security groups, certificates ordered by days to expiry, keys past ninety days, identities nobody uses, storage left unencrypted, resources idling with a monthly cost against them. Findings cite the requirement they sit under, and every run states what it could not read.

  • inventory
  • findings
  • PCI‑DSS evidence
  • cost attribution
  • coverage stated
MODULE 02

Access

Who may touch what, and the recording to prove it

Click to connect, instead of passing keys around. Scoped by role, with a certificate issued for the session rather than a credential handed out, and the session recorded so that “who ran that command” has an answer which does not depend on anybody’s memory. Mutual TLS between components, secrets held in a vault, least privilege and audit logging throughout — the same choices that become SOC 2 controls.

  • click‑to‑connect
  • per‑role scope
  • session recording
  • vault‑issued certificates
MODULE 03

Conductor

The AI layer, and the cost of it

An endpoint your clients point at by changing one setting. Trivial input is answered before a model is involved. What your estate actually looks like goes into the model’s context as reference data, labelled as data and never as instruction. A tenant that registers its own models is served from those and nothing else — your keys are structurally unreachable from ours. Every request lands on the ledger, whether or not a model was called.

  • OpenAI‑compatible
  • per‑tenant isolation
  • spend caps
  • the ledger
MODULE 04

Jobs

The work, actually done

Key rotation, patching, certificate renewal, access review, signing‑key rotation. Every job proposes first, shows its diff, and waits at the approval gate; the tier that changes production or moves money can never be set to approve itself. The distance between “we found forty things wrong” and “they are fixed” is the reason the rest of this exists.

  • proposes first
  • diff before apply
  • approval gate
  • risk tiers
SERVICE

Environments

The networks underneath

Development, UAT and production networks designed and built: segmentation, peering, gateways, and the Terraform that reproduces the whole thing on demand. This is a project with a start and an end rather than something you log into, which is why it sits here as work we do and not as a fifth module. It is usually what comes first, because everything above it needs an estate to read.

  • network design
  • segmentation
  • Terraform
  • handover