We spec the hardware, procure it, install it, deploy the models, and maintain everything going forward. Your AI runs on-premises, under your roof, with your data never touching a public cloud.
What we deliver
Cloud AI is convenient. On-premise AI is sovereign. For organizations handling sensitive client data, regulated information, or proprietary operations — the architecture matters as much as the capability.
Every query, every document, every conversation stays within your physical facility. Nothing is transmitted to a third-party inference provider. No API logs. No shared compute.
Cloud AI bills per token — costs scale with usage and surprise you at the end of the month. On-premise hardware is a capital expense. Once it's running, inference is effectively free.
For environments requiring full network isolation — legal, healthcare, government, defense-adjacent — our deployment architecture supports fully air-gapped operation with zero internet dependency.
On-site GPU hardware delivers sub-second inference with no rate limits, no throttling, and no latency from a round-trip to a cloud endpoint. The model runs at the speed of your network.
Most technology deployments require you to manage vendors, coordinate logistics, and troubleshoot configurations. Ours do not. One engagement. One point of contact. We take it from conversation to operational.
Power, cooling, rack space, and network assessment
GPU tier, memory, storage, and network configuration matched to your workload
Vendor coordination and delivery logistics managed by our team
Physical rack setup, cabling, and power distribution
Model installation, quantization, and performance tuning
Staff onboarding, documentation, and workflow integration
Ongoing remote health checks, updates, and support
Every deployment is sized against your actual usage volume, concurrent user count, and model requirements. These represent our standard tiers — custom configurations available for specialized workloads.
Every deployment runs on a retrieval-augmented architecture — your knowledge base lives separately from the language model itself. That single decision is what makes these systems accurate, scalable, editable, and transparent — and built to outlast any one model generation.
Answers are retrieved from your actual data, not recalled from a model's training. Every response traces back to a real source — not a plausible-sounding guess.
Update the knowledge base directly — add a document, correct a fact, remove something outdated. No fine-tuning, no retraining cycle, no waiting on a model update.
You can see exactly what the system retrieved and why it answered the way it did. What it knows, and where that knowledge came from, is never a black box.
The knowledge layer is decoupled from the model running it. As better, faster, or cheaper models come out, we swap the model — not rebuild the system.
As the technology grows and the hardware changes, your programs won't have to.
Every assistant runs locally on your infrastructure — no cloud inference, no third-party data handling. Each is purpose-built for a specific operational function and configured to your organization.
Searches active federal, state, and private grant databases. Drafts structured applications — NSF SBIR, TNECD, SBA programs — with your organization's information and objectives already loaded.
Handles inbound inquiries, resolves standard issues, and escalates intelligently. Consistent and available around the clock — even during peak volume periods your team can't absorb.
Conducts structured discovery with new prospects. Collects the information your team needs to move forward — without the follow-up, the back-and-forth, or the scheduling overhead.
Qualifies leads, tracks buying signals, and maintains consistent follow-up cadence. No opportunity goes cold from inaction. No lead falls through because someone was too busy.
Analyzes call transcripts and identifies what separates converted conversations from lost ones. Gives your sales organization the feedback to systematically improve close rates.
Manages guest and client communications with consistent professionalism. Every interaction handled at the same standard — regardless of staffing levels or time of day.
Cloud-managed for organizations that want zero infrastructure responsibility. Standalone for teams with existing infrastructure. Full on-premise hardware deployment for organizations that require complete data sovereignty.
We host and maintain everything. All six enterprise assistants, always updated, zero infrastructure overhead on your end.
We handle the entire deployment — hardware specification, procurement, installation, model deployment, and ongoing support. Your AI. Your building. Our work.
Full enterprise assistant bundle delivered. Deploy on your own infrastructure using your own API keys. No monthly fees.
Hardware costs vary significantly by configuration — a professional workstation deployment starts around $8,000–$15,000 in hardware, while a multi-node enterprise cluster can exceed $200,000. Our engagement fee covers the site survey, specification, installation, deployment, and training. Contact us for a scoped proposal specific to your organization's requirements.
No. We size the deployment to your actual environment. A professional-tier deployment fits in a standard office space — it looks like a workstation, not a data center. Rack deployments require appropriate space, power (20A–30A circuits), and cooling, which we assess during the site survey.
We deploy open-weight models including Llama 3.1 (8B, 70B, 405B), Mistral, Mixtral, and Qwen, selected based on your performance requirements and hardware configuration. We can also deploy fine-tuned variants if your use case benefits from domain-specific training. All models run locally — no external inference calls.
From signed engagement to operational system: typically 3–6 weeks. Site survey and specification take 1–2 weeks. Hardware procurement lead times vary by configuration (1–3 weeks). Physical installation and model deployment take 2–4 days on-site. Staff training follows.
We provide remote monitoring, model updates, and support as part of the ongoing service arrangement. If something goes wrong with the hardware or software, you have a single contact who knows your exact configuration and deployment.
Yes. Our Sovereign configuration supports complete network isolation — no internet connectivity required for inference operations. This is appropriate for classified environments, highly regulated data handling, or organizations with strict data perimeter requirements. Additional lead time and planning is required for air-gap deployments.
Yes. All six enterprise assistants can be deployed under your brand — your name, your voice, your domain. Clients and staff interact with your branded assistant. Nothing references Serge in the user-facing interface.
Tell us about your organization. We'll scope the right deployment and put a proposal in front of you.