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Frequently Asked Questions

What does agenticy do?

agenticy deploys autonomous AI workforces on dedicated NVIDIA DGX hardware. We replace repetitive enterprise roles with AI agents that operate 24/7 — on your infrastructure, with your data, using your own models. No cloud APIs. No per-token billing.

What does "Local AI" mean?

Your AI agents and models run on your own NVIDIA DGX hardware, in your datacenter. They never call OpenAI, Azure, or Google Cloud. This means zero API bills, zero data exposure, and total sovereignty over your AI assets. You own the hardware. You own the models. You own the IP.

How is this different from using ChatGPT Enterprise or Microsoft Copilot?

Those are API-based services — you pay per token/seat and your data flows through third-party infrastructure. With agenticy, your models run locally on your DGX. No external API calls. No data ever leaves your jurisdiction. It's the difference between renting intelligence and owning it.

What's the ROI timeline?

Most clients see measurable ROI within 90 days. An agent replacing a role costing $4,000–$8,000/month pays for itself in 3–5 months. Plus, you eliminate API subscription costs permanently — your DGX runs inference at near-zero marginal cost.

Where does my data go?

Nowhere. It stays on your infrastructure. Your DGX hardware runs in your datacenter. Your models are trained on your data, on your machines. Nothing goes to OpenAI, Anthropic, Google, or any third party.

What compliance standards do you meet?

SOC 2 Type II, GDPR (EU), CCPA (California), ISO 27001. Because data stays local by design, compliance is natural — not a feature bolted on.

What happens to my current employees?

We don't advocate layoffs. Most enterprises redeploy teams to higher-value strategic work while agents handle repetitive operations. Agentic enterprises typically grow faster and create new roles rather than eliminating them.

How fast can we deploy?

Agentic Diagnostic: 48 hours. First agent: 14 days. Full enterprise transformation: 3–6 months depending on scope. Hardware provisioning is handled in parallel.

Do I own the models you train?

Yes. 100%. Every weight, every parameter, every fine-tuned model trained on your data belongs to you. Full IP transfer. No shared infrastructure. No royalty payments.

What hardware do I need?

NVIDIA DGX systems (H100 or B200). We handle procurement, provisioning, and deployment. For clients without existing datacenter capacity, we offer colocation partnerships.

How do I get started?

Book a free Agentic Diagnostic. In 30 minutes, we'll identify which roles are ready for transformation and project your exact savings. No cost. No commitment.