Questions, answered straight.

Digital Networks AI is the full company name; DNAi is its abbreviation. The two refer to the same B2B AI company, found at digitalnetworks.ai. It is not affiliated with the generic phrase “digital networks,” with IT or telecom networking, or with the unrelated company at dnai.ai. The consumer social app formerly branded “Digital Networks” is now called Vimal; it is a separate company and a Digital Networks AI client. Digital Networks AI designs and builds AI infrastructure for businesses and is headquartered in Miami, Florida.

Digital Networks is a vendor-neutral B2B AI consultancy. We help companies find where AI earns real return, select the right tools without bias, integrate them into existing systems, and automate the work that slows teams down, from strategy through production deployment.

We take no commissions, kickbacks, or referral fees from any AI platform or vendor; no one pays us to recommend them. We are paid only by our clients, for the engagement. The shortlist and architecture we recommend are the ones we would choose for ourselves, scored on your fit, security, and total cost.

We are tool-agnostic and work across the B2B AI market: major LLM providers, automation platforms (n8n, LangChain, CrewAI), CRMs (Salesforce, HubSpot), voice agents (Vapi, Retell), and open-weight models (Llama, Mistral, Qwen) for private deployments. We choose based on your requirements, not a fixed partner list.

Twelve productized builds grouped into three areas: Growth & Demand (website redesign, AI SEO, ad automation, social content), Sales & Revenue Automation (lead-generation automation, automated follow-up, CRM organization, AI receptionist and cold callers), and Build & Foundations (software developer agent teams, cybersecurity audits, AI architecture agent teams, in-house LLMs). Each is scoped and priced to you.

Pricing is on request and specific to each engagement, because scope varies with your systems, data, and goals. We anchor every proposal to a business outcome (revenue, cost, or time saved) rather than billing by the hour. Schedule a free meeting and we will scope it with you.

It depends on the package. A security audit or CRM clean-up typically runs two to three weeks; a website redesign four to six weeks; a typical pilot-to-production integration about six weeks. Programmatic SEO compounds over three to six months. We deliver in phases with a named owner at every stage.

Yes. Integrating AI into your current CRM, ERP, data warehouse, and tools over real APIs is the core of what we do. We do not rip and replace; we wire AI into how your teams already work, with monitoring and rollback built in.

Security and compliance are designed in from day one, not bolted on. We review each vendor's SOC 2 posture, data residency, retention, and model-training terms and map them to your obligations, such as GDPR or HIPAA. For sensitive data we can deploy private LLMs inside your own VPC or hardware, so prompts and documents never leave your perimeter.

Yes. Our In-House AI LLMs package deploys open-weight models inside your VPC or on your own hardware, with retrieval over your internal data and per-role access controls at retrieval time. Your prompts and documents stay inside your boundary.

Four stages. Assess: find where AI earns its keep, scored on revenue, cost, and time. Architect: design the solution and select vendors on the merits, with a clear build-versus-buy call. Deploy: integrate, test, and roll to production, secure and monitored. Scale: measure outcomes and expand what works. You receive a concrete deliverable at each stage.

A focused thirty-minute conversation about your goals and where AI fits. We point you to the package that matches, share a vendor-neutral view of your options, and outline next steps. No preparation is required and there is no obligation, and we reply within one business day.

We focus on B2B teams (from growing companies to enterprises) that want AI tied to measurable outcomes rather than one-off pilots. If you have a use case and real systems to integrate, we can help; if you are not there yet, the Assess stage finds the highest-return place to start.