We build it, then run it where your data needs to stay: on your servers, in your cloud, or on dedicated NVIDIA GPUs in our SOC 2 compliant facility in Atlanta.
Models and data stay inside the boundary you choose
Operated
Monitoring, patching and updates included
Private
Models and data stay inside the boundary you choose
Operated
Monitoring, patching and updates included
On Your Servers
We spec, source and set up the hardware: NVIDIA servers through Dell, Supermicro and other builders, and AMD Instinct through several partners. Sized to your models and usage, not the biggest box.
Dedicated, high-end NVIDIA data center GPUs that we operate in a SOC 2 compliant facility in Atlanta, with capacity expanding now. Private AI without buying hardware or hiring a team to run it.
We deploy models, retrieval and application layers inside your network, with egress rules that block calls to outside model APIs, so sensitive data is processed where it already lives.
We design for the security review first: identity provider integration, role-based access, audit logging and isolation, documented so your security team can approve before go-live.
We integrate with the systems you already run, from CRM and ERP to data warehouses and internal tools, through governed interfaces that do not disrupt existing teams.
We size compute to your real workload and benchmark smaller tuned models against larger general ones, so finance sees a fixed operating cost instead of usage-based API bills.
Can we run AI without any data leaving our environment?
Yes. We deploy models, retrieval and application layers inside your data center or cloud account, with network rules that block outbound calls to external model APIs. Your security team reviews the design before go-live.
Can you host it for us?
Yes. We run models on dedicated, high-end NVIDIA data center GPUs in a SOC 2 compliant facility in Atlanta. You get a private environment without buying hardware or staffing it, and you can move the system to your own servers later.
Which models can run privately?
Open-weight models and licensed models that allow self-hosting, including our own Multiplier XSIX. We test candidates on your real tasks, since a smaller model tuned to your data often matches a larger general one on a specific job.
What hardware do we need?
It depends on model size, number of users and speed targets. We size compute from your expected workload, and you can start in our facility or your cloud before buying hardware. When you're ready, we spec and source NVIDIA or AMD servers for you.
Who operates the deployment after launch?
Your team, us, or both. We set up monitoring, alerting and update procedures, hand over runbooks and documentation, and can keep operating the stack under an agreed support model.
