Sovereign AI for Architecture and Engineering Firms
Run capable AI on hardware your practice owns, and keep design IP, client confidentiality and tender data inside the studio.

Sovereign AI for architecture and engineering firms means running capable artificial intelligence on hardware the practice owns, inside its own walls, so drawings, BIM models and tender data never leave the studio. It protects design intellectual property, client confidentiality and sensitive site information by keeping them out of any third-party cloud model. Mickai is a Sovereign Intelligence Operating System, or SIOS, that runs on the firm's own machines, works offline, and writes every action to an Open Audit Record the practice can inspect and prove.
- Design IP lives in drawings, models and BIM data, and sovereign AI keeps that IP on machines the firm owns.
- Client and project confidentiality, including sensitive site and infrastructure detail, stays inside the studio rather than travelling to an external cloud.
- Competitive tender and bid information is never exposed to a shared, third-party model.
- Mickai SIOS runs on the firm's own hardware, offline, with every action written to the Open Audit Record.
- The Mickai closed beta is open to selected design partners at mickai.co.uk/beta.
What does sovereign AI mean for a design practice?
Sovereign means the practice, not an outside platform, holds the intelligence. The model, the hardware and the data all sit within the firm's own control, so nothing about a live project has to be trusted to a distant service governed by someone else's terms. For architecture and engineering studios, whose value is bound up in original design work, that ownership is the whole point.
It is a practical stance rather than a slogan. A sovereign system can be pointed at a firm's specifications, drawings and correspondence and still keep every file where it started, because the reasoning happens locally and the results stay local.
Why is design IP at risk when firms use cloud AI?
Architecture and engineering practices carry much of their value in drawings, detailed models and BIM data. When those files, or even careful descriptions of them, are sent to a general cloud model, they leave the firm's control and pass through infrastructure the practice cannot see, audit or govern. For work that competitors would pay to study, that loss of control is a commercial risk, not merely a technical one.
Sovereign AI removes the transfer entirely. The model runs where the data already sits, so a facade detail, a structural calculation or an early massing study is analysed on the firm's own hardware and stays there. Nothing is uploaded, and nothing is retained by an outside provider.
What confidentiality obligations do these projects carry?
Firms routinely hold information clients expect to remain strictly private: site locations, security arrangements, infrastructure layouts and commercially sensitive plans. Many appointments and non-disclosure agreements make that confidentiality an explicit, signed duty. Feeding project material into an external model can quietly undermine the very promises a practice has made to win the work.
Running the intelligence in-house keeps sensitive project data inside the boundary the client agreed to. The information is never sent out, never held by a third party, and never mixed into a shared system the practice does not control.
How does running AI on your own hardware protect projects?
With a sovereign approach, the AI and the data share the same trusted environment. There is no round trip to an external service, so tender figures, design options and client identities are never handed to a system the firm does not own. Mickai runs on the practice's own machines and works offline, which means a studio can use it on a secure site or a disconnected network without changing how it protects information.
Because the intelligence is local, the firm sets the rules. Access, retention and use are governed by the practice, and the approach is backed by 104 filed UK patent applications, approximately 2,340 claims, owned by Mickai LTD.
What can architecture and engineering teams do with it?
A great deal of practice work is language and document heavy: specifications, planning statements, contract review, tender responses, design narratives and coordination notes. Sovereign AI can draft, summarise, check and cross-reference this material without any of it leaving the studio. Teams gain the speed of modern AI on the parts of the job that consume hours, while the underlying IP stays put.
The same holds for interrogating a project's own records. A practice can ask questions of its drawings, correspondence and past jobs and receive grounded answers, because the knowledge base is private to the firm and built only from its own material.
How do firms prove their AI use was safe?
Confidentiality is far easier to defend when it can be demonstrated. Mickai writes every action to the Open Audit Record, a tamper-evident log the practice can inspect and show to a client, an auditor or a project reviewer. That turns a claim of privacy into something provable, with a clear trail of what was done and when.
Micky Irons, founder of Mickai, built the SIOS around exactly this idea of ownership: the firm holds the hardware, the model and the record, and can prove where its data has been at any moment. The closed beta is open now to selected design partners, who work with the team rather than simply signing up, and practices can apply at mickai.co.uk/beta.
Frequently asked questions
Is my design data used to train someone else's model?
No. With a sovereign setup the model runs on the firm's own hardware and the data stays there, so project files are never sent to an external provider or used to train a shared, third-party model.
Can I use Mickai offline on a secure or disconnected site?
Yes. Mickai SIOS runs on the practice's own machines and works offline, so it can be used on high-security or disconnected sites without sending anything out of the studio.
Will sovereign AI slow my team down?
No. It handles the same document-heavy tasks as cloud AI, such as specifications, tender responses and contract review, while keeping every file inside the firm.
How do I show a client our AI use stayed confidential?
Every action is written to the Open Audit Record, a tamper-evident log the practice owns and can inspect, so confidentiality can be demonstrated to a client rather than merely asserted.
How can my firm join the Mickai beta?
The Mickai closed beta is open and selective, working with design partners rather than accepting every applicant. Interested practices can apply at mickai.co.uk/beta.