Contact
Start with the problem, not the product.
Tell us what is slow, expensive or invisible in your operation. We will come back with an honest read on whether we are the right people for it.
Direct lines
What happens next
- 01We read it properly — not a form auto-responder.
- 02A 30-minute call with someone technical, not a sales screen.
- 03A short written view of the options, whether or not you engage us.
Questions we get asked
The ones that usually come up first.
Do you train models on our data?
No. Customer data is never used to train shared models or passed to third-party model providers for training. Fine-tunes built on your data belong to you and run only in your tenant.
Can we run this without sending data to your cloud?
Yes. The same platform deploys into your VPC or fully air-gapped, with identical controls. Roughly half of our regulated deployments run outside our infrastructure.
How long until something is actually in production?
Six weeks is typical for a first production model on Nareth Core. Product deployments like ClinicOS or GeoSmart usually reach live users faster, since the application layer already exists.
What happens when a model degrades?
Continuous evaluation runs against held-out and live data, with drift and regression alerting. On Managed AI Operations we hold the SLA, retrain on schedule and report performance quarterly.
Can you prove how a decision was reached?
Every inference records which model version produced it, which data grounded it, which policy applied and who saw the result. That trail is exportable as an evidence package for filings and audits.
Do you work with teams that already have an AI function?
Often. Nareth Core is frequently bought by teams who have models but no governed way to run them. We are comfortable being the layer underneath work your own team owns.