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One platform

You govern, you measure, and you depend on no model and no cloud

GovernYour org chart, with a budget and a brake

Your company is modelled as it is: group, divisions, departments, teams, and the projects that cut across several areas at once. Permissions are inherited down that tree and the budget flows down it, with an automatic cut-off at every level.

Scope is decided by the server, not the screen. A leader sees their whole branch and none of the others: the interface isn't hiding it; it simply isn't served.

The plane and the runtime

SIAC is two pieces. The plane sets identity, signs the policy, keeps the model catalog and holds the ledger. The runtime, on every computer, phone and add-in, executes and does not decide: what the policy doesn't allow is rejected on the device, without asking anyone.

25 modules with a permission of their own measured on 2026-09-02

53 functions granted one by one measured on 2026-09-02

Usage center · Org chart Current month
  1. Group 12,4 M
  2. Sales Division 5,1 M
  3. Sales Team 2,3 M
  4. Presales Team 2,8 M
  5. Legal Division 4,6 M
  6. Finance Directorate outside your analysis scope
Example figures. What isn't an example is the rule: the branch that isn't yours shows as structure and never with figures.
The plane and the runtime Executes, doesn't decide
Plane · Gateway
identitysigned policymodel catalogledger
Computer Runtime policy v12 · signed ledger · chained
Phone Runtime policy v12 · signed rejected on the device ledger · chained
Add-in Runtime policy v12 · signed ledger · chained
  1. the policy comes down signed to every device
  2. one device rejects locally what the policy doesn't allow
  3. the ledger of all three goes up to the plane, chained
The plane decides once and signs; the runtime complies without asking, even if the plane is away. That's why a policy can't be bypassed from a device.

MeasureKnowing whether the AI is well spent

Almost nobody measures what matters: how many input tokens are paid for each useful output token. SIAC judges it against the band of its activity class, which is why it finds leaks a conventional dashboard never sees. An estimated saving never adds to the total.

And a good part of an agent's context repeats. The platform reuses it instead of processing it again, and measures that as efficiency, with its figure.

6 activity classes, each with its own band measured on 2026-09-02

12 dimensions to slice the spend by measured on 2026-09-02

AI Health · Input : output ratio by class Last 90 days
  • Conversational chat Healthy
  • Assistant with tools Healthy
  • Agentic code loop Probable leak
  • Document generation Healthy
  • Office add-in Healthy
  • Classification and routing Healthy
Finding A tool with an external key sends 268 times more context than its activity justifies. detectacceptapplymeasure
A saving only enters the total if it was measured before and after. An estimated saving doesn't count.
AI Health · cache efficiency 19.1 % of the input, reused
First requestinstructions · case file · contextwhat's new
Second requestreusedwhat's new
Efficiency in the controlled experiment87 %of the input served from cache · measured on 2026-08-23
An efficiency indicator, not a promise: it measures what was reused, and says so.

SwitchThe models and the cloud your company chooses

Models are added, swapped and retired in the catalog without touching a single client. The router picks by task, and your company pins its own whenever it wants.

If a provider goes down, the next request goes out through another with nothing changing on the person's side. That is the gesture that means “you depend on none of them”.

The same goes for infrastructure: shared platform, dedicated instance with your server and your encryption key, or your own cloud account, in the region you choose. Same product, zero bespoke builds.

And continuity isn't promised: it's rehearsed. If the whole region goes down, the platform comes up in another; the way back is scheduled with you and verified table by table.

31 s to come up in the other region, against a 30-minute commitment measured on 2026-08-22

19 s of work lost, against a 5-minute commitment measured on 2026-08-22

One platform · depending on no one 11 models in the catalog
ExcelWordDesktopPhone
SIAC governancemeasurementrouting
ModelsCloud
Huawei Cloud in use Google Cloud tested Alibaba Cloud · Qwen compatible
Huawei Cloud in use Google Cloud compatible
SharedDedicated instanceYour cloud account
Trademarks belong to their owners. Compatibility, not endorsement. “In use” serves requests today; “tested” answered a real request, with a date; “to be tested” has its code branch; “compatible” speaks the industry's open standard or runs in containers. Oracle is a registered trademark of Oracle and/or its affiliates; other names may be trademarks of their respective owners.
Does your case look like this?Tell us how you govern AI today and what slips throughTell us your case
The case in 90 seconds

Watch it happen, screen by screen

Governance, on one screenPolicy rules, even over the versionAn error with a shapeThe ledger, line by line

Real product screens: desktop, phone and tablet.

What people ask before deciding

Do I depend on one model provider?

No. Models are added, swapped and retired in the catalog without touching a client; if one goes down, the next request goes out through another.

Can I have it on my own server?

Yes: a dedicated instance with your server, your database and your key, in the region you choose, or in your own cloud account.

What does an area lead see of the other areas?

The structure, never the figures: scope is decided by the server, not the screen.

What happens if the region goes down?

The platform comes up in another; the way back is scheduled with you and verified table by table. It's rehearsed and measured.

The other verticals

Get started

Tell us a use case. We tell you how it's tackled.

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