Smart Secure Services Request an engagement

AI, cloud and security for regulated companies

Choose the right AI, put it to work, and still know what it costs and where it cannot see.

We help companies pick the cloud and the models that fit them, build the agents and automations that do the work, and put single sign‑on, access control and a ledger around all of it. Vendor‑neutral: we run on whichever cloud you already pay for. And every report we hand over says what we could not read next to what we found, because an inventory that does not say where it stopped looking reads as complete.

Request an engagement What we do
One request, end to end tenant‑sealed · one ledger
Send a request
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
RequestGateMemoryModelBilled
“thanks”answered——no
“what changed on prod last night?”passedattachedroutine
“refactor this migration”passedattachedreasoning

Pick any of the three above to send it through.

The short arrow back to the client is the one to look at. Somebody types “thanks”. Everywhere else that is a billed round trip to a frontier model, and there is no product on the market that stops it. 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. Two of the three above are billed; that is the honest ratio, and it is still two rather than three.

What we do

Three services. Most companies need them in this order.

AI adoption fails on two things: paying for the wrong model in the wrong place, and letting it touch systems nobody has secured. We start where the money and the risk actually are, and we work on the cloud you already have — Huawei Cloud, AWS, Google Cloud or your own racks — rather than the one a brochure assumes.

Choose

CLOUD & MODEL SELECTION

Which models, which provider, hosted where, at what price per task — decided from your own traffic rather than a vendor benchmark. We measure latency, output length and cost per request on the models you can actually reach, and recommend a tier map: the cheapest model that finishes each kind of job, with a fallback that is used rarely rather than by accident. The same discipline for the cloud underneath it.

Build

AGENTS & AUTOMATION

Agents and workflows that take real work off your team: deployments, environment provisioning, reporting, reconciliation, the compliance evidence an auditor asks for every quarter. Each one proposes before it acts, shows its diff, and waits at an approval gate for anything that changes production or moves money. Built against your models and your keys, in your environment, with a ledger of what every run cost.

Secure

SSO, ACCESS & EVIDENCE

One login for every tool your people and your agents use, including the AI ones. Access scoped by role, sessions recorded, keys rotated on a schedule instead of after an incident. Card and personal data kept out of prompts and logs. Findings that cite the PCI‑DSS or ISO 27001 requirement they sit under, so the same work that makes you safer is the work that gets you through the assessment.

What runs underneath

Conductor: two halves, and they answer different questions.

Every engagement is delivered on our own platform. One half reads the infrastructure you already run. The other sits between your team, your agents 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.

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 — what you pay for, who can reach it, and which of it nobody owns.

Review

FIXED FEE · 2–3 WEEKS

An AI cost and security review. We point Conductor at your cloud account and your model traffic, read-only, and hand you a report in three parts: what you are paying for and what it should cost, who and what can reach your production systems, and which models fit which of your workloads. Every figure beside the provider’s own. You keep the report either way.

Build

SCOPED FROM THE REVIEW

We learn your products, your infrastructure and your workflows, then build the agents, automations and access controls the review called for — your models, your keys, your data, in your environment or ours. Nothing goes live without a person approving it.

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, what it would have cost without us, and what we still could not see.

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 review 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

One sign‑on for the console, the servers and the AI tools, 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.

  • single sign‑on
  • per‑role scope
  • session recording
  • vault‑issued certificates
MODULE 03

Conductor

The AI layer, and the cost of it

An endpoint your apps, IDEs and agents 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