Three platforms we build and license, distinct from our consulting work. Each one exists because we needed it on client engagements first: secure knowledge search, AI infrastructure, and audit evidence. Consulting is on the services side of the site; this section is about the software.
Talk to us about a productTraceable answers from your own documentation.
Retrieval-grounded search over your own document set, where every answer links back to the passage it came from, so a reviewer can check it.
SnowShoe.ai in detailRapid, scalable, sovereign AI deployment.
The infrastructure layer for the model lifecycle: versioned data, automated retraining and deployment, and the observability needed to answer what is running and why.
EdgeKube.ai in detailTurn scattered policies and controls into a clause-mapped audit trail.
A living evidence base where every control links to concrete, reviewable artifacts, and coverage gaps are visible in days rather than months.
AuditMap.ai in detailIf you have a problem and no fixed idea of the tooling, start with consulting, where we scope the problem first and recommend a product only where it genuinely fits. If you already know the shape of what you need (search over your own documents, an MLOps platform you can run yourself, an audit evidence base), start here.
The two combine routinely. A licensed platform plus a fixed-fee integration engagement is the most common shape of a product deployment.
Custom engagements. Clients own project-specific code, models, and documentation as defined in the applicable agreement. That is the default for consulting work and it does not change because a project touches one of our products.
Lemay.ai products. Pre-existing Lemay.ai platforms and intellectual property are licensed separately where selected. A licence covers the platform; it does not claim anything you build on top of it.
Tell us what you are trying to accomplish and we will tell you whether this is the right fit, including when it is not.