Generative AI is straightforward to demonstrate and hard to deploy responsibly. We build LLM systems that run inside your boundary, answer from your own material with the source attached, and come with a way to measure whether the answers are actually good.
The data leaves. The default architecture sends your prompts (often containing the sensitive material itself) to a third-party endpoint. Where that is unacceptable, the answer is self-hosted inference inside your network, with an offline installation path for sites that have no outbound connectivity at all.
The model invents. A fluent answer drawn from the model's general memory is worse than no answer, because it is convincing. Retrieval-grounded generation with every passage linked back to its source document lets a human verify rather than trust.
Nobody measures it. Most deployments have no idea whether retrieval quality is improving or degrading. An evaluation harness scored against your own benchmark questions and expert answers turns that into a number you can track before and after every change.
Models run inside your infrastructure: on-prem, air-gapped, or your own cloud enclave. Query content stays on your network.
Hybrid search combining meaning-based retrieval and re-ranking with exact keyword lookup, so both conceptual questions and precise term searches work.
Retrieval accuracy scored against your own benchmark questions and expert answers. Measure before you trust, and again after every change.
Role-based access and approvals, so the system respects the document permissions your organization already has.
Fine-tuning, retrieval tuning, evaluation, and the operational patterns needed to run language models at enterprise scale. See Deployment & MLOps.
Risk, bias, and audit controls built into delivery rather than retrofitted when a certification deadline arrives.
If the requirement is "our engineers need to ask questions of our own documentation, and the documents cannot leave the network", that is a solved problem: SnowShoe.ai is our platform for exactly that, and it ships with an offline installer, an acronym dictionary, role-based access, and the evaluation harness built in.
Where the requirement is more specific, we build it, and you own the result. Platform licensing and consulting IP ownership are kept deliberately separate; see products for the licensing language.
U.S. and NATO registration is already in place, so teaming does not wait on paperwork. Every identifier is verifiable in a public registry.
Registry entries establish procurement eligibility. They do not imply endorsement by any government. Full detail is in our capability statement.
Tell us what the material is, where it has to stay, and who needs to query it.