Read before you buy
Practical material on running AI in regulated environments. Replace these entries with your own posts as you publish them.
The unvetted model problem
Why a model file obtained from outside your organization deserves the same scrutiny as a production dependency, and what a practical gate looks like before deployment.
Guides and articles
Air-gapped AI, step by step
What to prepare, what to verify, and which assumptions to test before you disconnect the cable.
9 min readOne door to every model
How a single governed entry point replaces a sprawl of personal credentials, and what you gain in accountability.
6 min readAudit records that survive an auditor
The difference between a log you keep and evidence you can hand over, and why append-only is the only claim worth making.
7 min readClinical imaging AI, end to end
From study ingestion to a reviewed prediction, and the provenance the process leaves behind.
11 min readTraining on the cluster you have
Reaching several kinds of compute without maintaining a separate set of scripts for each one.
8 min readSafety screening without blocking science
Choosing what to screen for, handling false positives, and giving researchers a path to appeal.
10 min readFrequently asked
Deliberately. We keep implementation specifics out of public material, and go as deep as you like in a demo - architecture, data flows, security design, and integration detail, under NDA if you prefer. If you are evaluating seriously, that conversation is more useful than a feature list anyway.
Yes - that is what it was designed around. Imaging studies are organized the way clinicians expect and reviewable in the browser, and large sequence data is made analysis-ready on ingest so researchers can explore it without transferring it. Both live in the same catalog as the rest of your data.
The full lifecycle: ingestion, cataloguing and permissioning, exploration, training with experiment tracking, packaging, security assurance, bulk and interactive deployment, and monitoring with usage accounting and audit. Each stage lives on the same platform rather than in a separate tool with a manual handoff.
Yes. The platform is delivered as signed, vendor-built software, licensed without an outbound connection, and no component requires internet access to operate. Air-gapped installation is a first-class path, not a workaround.
No. XAIOps works with your existing compute, storage, and container infrastructure rather than replacing it. It is the layer that ties them together with one permission model and one audit trail.
Data stays in your storage, inside your network. Access is permissioned per dataset and recorded in a form that cannot be quietly altered, retained long term, and verifiable on demand. We will walk your privacy office through the specifics on a call.
It depends on which workloads you intend to run - some are comfortable on a single modern data-center GPU, while large structure prediction and genome-scale models want considerably more memory. We size this with you during scoping rather than guessing in a brochure.
Most organizations get one real workflow running end to end within a few weeks of install. The scoping call sets the target so the pilot proves something you actually care about.
Terms we use precisely
Air-gapped
An environment with no network path to the public internet. XAIOps installs and operates without egress.
Control plane
The layer that authenticates, routes, screens, and accounts for every request to a model.
Guardrail
An automated safety check applied to model input and output before either reaches a person.
Model assurance
Inspecting a model artifact for serialization attacks, malicious opcodes, and backdoors before it is allowed into your environment.
Model scanning
Static, non-executing analysis using multiple independent scanners to vet third-party artifacts before deployment.
Provenance
The demonstrable chain from a result back to the data, run, and artifact that produced it.
Tamper-evident
Stored so that any later alteration can be detected rather than merely discouraged.
Skip the reading, see the product
Thirty minutes with a live environment answers more than any article. Bring your hardest question.