Press and Investigative Journalism
Investigative desks and newsroom legal teams need to read across thousands of leaked documents, find the connection that breaks the story, and stand it up before publication. The cloud is barred for this work because uploading unredacted leak dumps to a third-party processor exposes confidential sources, hands a discoverable copy to a vendor, and can compromise privilege. Mickai brings every AI retrieval and analysis capability in-house onto hardware the newsroom owns, under keys it holds, air-gapped from the internet and cloud vendors. The documents never leave the building, no third party ever sees the source material, and what happens in the server room stays in the server room.
Investigative desks, newsroom legal teams and cross-border journalism collaborations handling confidential sources and leaked material.
Source anonymity and pre-publication legal risk make cloud processing of unredacted documents dangerous, because a third-party copy can expose a source or be compelled in disclosure.
Air-gapped retrieval, entity mapping and legal review run over the full unredacted corpus on hardware the newsroom owns, under keys it holds, independent of the internet and cloud vendors.
The connections behind the story are found inside the building and the investigation is never traced, because the documents never leave and no third party ever sees them.
Five advantages hold across every sector, and they are architectural, not promotional. The third-party cloud-exposure vector is removed; your own physical, insider, and compliance controls remain yours.
The data never leaves your hardware, so no third party and no cloud-provider employee ever sees it. What happens in the server room stays in the server room.
You own the compute and the capability, so the system runs independent of the internet and of any cloud vendor's pricing, terms, or availability.
The data never crosses a geographical or digital border because it never leaves the building, which removes the cross-border-transfer and third-party-processing friction of UK GDPR, Schrems II, and the sector rules. You keep your own obligations.
Fine-tune and run retrieval on your deepest archives to build a hyper-customised co-pilot, with no risk of your proprietary edge training a public model or leaking.
After the hardware and licence, queries cost essentially electricity. A capital asset you own and depreciate, instead of volatile per-token cloud bills.
There is no third-party cloud path, so no competitor and no vendor insider can scrape, intercept, or subpoena your prompts or your fine-tuned weights from the internet. The trust vault is closed by architecture.
You own the software snapshot on your own hardware, so a change to a cloud vendor's terms, a model deprecation, or an outage cannot reach you. The system stays predictable and auditable on-premise as the rules evolve.
The specific rules that bar mainstream cloud AI from this sector's regulated data. Each one demands a named, auditable perimeter the operator controls, which a shared multi-tenant cloud cannot give.
The kind of organisation this serves, named illustratively from public information to characterise the market. These are target profiles, not customers: Mickai has no relationship, engagement, trial, or endorsement with any of them.
The enterprise studios that lead in this sector, drawn from the eighteen that sit on the one sovereign substrate. Each runs on hardware the organisation owns, under one set of operator-held keys, writing to one Open Audit Record.
Contract Review and Legal-Ops
Runs pre-publication legal review over the draft and the underlying documents in-house, flagging defamation, privilege and source-exposure risk before anything is filed, with the leak material never sent to an outside processor.
Executive BI
Builds the entity and relationship map across the corpus so editors can see how names, companies and transactions connect, surfacing the link that breaks the story without the analysis ever touching the cloud.
Compliance and Regulator Mode
Holds the data-handling and source-protection ruleset over the investigation and produces the access and processing record the newsroom needs to defend its methods, all on the customer's own hardware.
Sovereign Meeting Note-Taker
Captures source interviews and editorial conferences locally so sensitive briefings are transcribed and searchable on-premise rather than routed through a vendor transcription service.
CRM
Keeps the contact and source register inside the building, so the relationship between a journalist and a confidential source is never stored with or traceable through a third party.
See all eighteen on the sovereign services catalogue.
Investigative collaborations are working with ever larger leaked datasets while legal and source-protection pressure intensifies, yet the leading AI document-analysis tools are cloud-hosted and therefore off-limits for the most sensitive material. That gap leaves a clear opening for an air-gapped, on-premise capability that newsrooms, media groups and journalism foundations can adopt without surrendering custody of their sources.
Money won, money saved, risk removed, on hardware you own.
Newsrooms get cloud-grade retrieval and entity analysis over unredacted leak dumps while removing the third-party cloud-exposure vector entirely; the connections to a story are found in-house, the source trail is never created at a vendor, pre-publication legal review happens against the real documents without exporting them, and the recurring cloud-processing spend for sensitive material is displaced. Physical and insider controls remain the newsroom's own responsibility.
Map the sovereign stack to your press and investigative journalism estate.
Briefings are for organisations weighing a sovereign, on-premises deployment. Tell us about your estate and we will walk the pack, the regulatory crosswalk, and the deployment that fits your estate.