01Audit
We scan your systems, data, and workflows to map exactly where AI earns its keep.
AI infrastructure · built end to end
We build the AIinfrastructure yourbusiness runs on.
From supervised developer-agent teams to private LLMs inside your perimeter, we design and ship production-grade AI infrastructure for our partners and clients: vendor-neutral, wired into your stack, and owned by your team.
- Vendor-neutral by design
- Built into your stack, in production
- Your team owns every merge
Want to see it running first? See what we've built →
reference-architecture.dnai
Provider infrastructure firms
The models, platforms, silicon, and cloud infrastructure we build on and integrate with, from frontier AI labs to the tools your stack already runs on, vendor-neutral by design.
Five flagship builds
Five builds. Live in weeks, not quarters.
Five flagship engagements, each carrying a 3× to 10× projected return: the teams that design your architecture and ship the code, the systems that run your advertising and search, the audit that finds the holes, and the receptionist that answers every call. Every one is a real build with a working preview — open any of them to see exactly how it is analyzed, assessed, built and deployed.
Top 5 buildLive in 6–8 weeks
Top 5 build 1. Live in 6–8 weeks.One blueprint your whole org builds against
AI Architecture & Development Teams
A supervised team of architecture agents that maps your systems and data flows, then designs the reference architecture your AI runs on: a governed model router, retrieval and security boundaries, and the decision records behind every choice. Your architects review and own the design; every later build snaps to it instead of sprawling into one-off pilots.
- One reference architecture for AI: model routing, retrieval, guardrails and integration boundaries
- A scoped agent team configured for your repo, stack and conventions
- Planned, tested pull requests with passing CI, ready for human review
- Decision records and a merge protocol your engineers control, with a full audit trail
Projected for a typical build
- Efficiency rating
- 70%
- Productivity increase
- 3×
- Cost-effectiveness
- 62%
Efficiency rating
Productivity increase
Less than hiring a software developer
How we estimate these
- Efficiency rating: the share of the routine work the system runs with no one involved. Agents plan, write and test the change; an engineer still reviews and merges every pull request.
- Productivity increase: Reviewed, CI-passing pull requests per week against one developer working alone.
- Cost-effectiveness: the build plus a year of running costs, against a year of a software developer's full cost to employ: the median pay (BLS Occupational Outlook Handbook, May 2025) plus benefits, which are 30% of what employers spend (BLS Employer Costs for Employee Compensation, June 2026). First year only; the build is a one-time cost, so later years save more.
Top 5 buildLive in 4–5 weeks
Top 5 build 2. Live in 4–5 weeks.More ad variants, tested and iterated automatically
AI Advertisement Content Automation
We build an automated paid-ads engine across Meta, Google, and TikTok: AI generates creative variants on a schedule, rules govern budget and audiences, and underperformers get cut without manual babysitting. You get more tests per week and a single performance view across all three platforms.
- Creative variant pipeline that ships ad copy, images, and video cuts to Meta, Google, and TikTok on a cadence
- Automated budget, bid, and audience rules with kill-switch thresholds for underperformers
- Server-side conversion tracking (CAPI/server tags) wired to your CRM or store for reliable signal
Projected for a typical build
- Efficiency rating
- 85%
- Productivity increase
- 5×
- Cost-effectiveness
- 77%
Efficiency rating
Productivity increase
Less than hiring a marketing specialist
How we estimate these
- Efficiency rating: the share of the routine work the system runs with no one involved. Variant generation, launch, monitoring and budget moves run unattended; a person approves new creative.
- Productivity increase: Creative tests launched per week, the same figure as the build's live demo.
- Cost-effectiveness: the build plus a year of running costs, against a year of a marketing specialist's full cost to employ: the median pay (BLS Occupational Outlook Handbook, May 2025) plus benefits, which are 30% of what employers spend (BLS Employer Costs for Employee Compensation, June 2026). First year only; the build is a one-time cost, so later years save more.
Top 5 buildLive in 8–12 weeks
Top 5 build 3. Live in 8–12 weeks.Rank at scale without thin content
AI Search Engine Optimization
We build a programmatic SEO engine: intent-mapped keywords, AI-assisted briefs, validated schema, and a hub-and-spoke link structure that ranks pages and routes buyers to conversion. Each page earns its place or gets retired.
- Keyword and intent map clustered by buyer task, scored against current rankings and conversion paths
- Technical SEO audit and fixes: crawl budget, indexation, site architecture, Core Web Vitals
- Programmatic page system with templated, source-validated schema and hub-and-spoke internal linking
Projected for a typical build
- Efficiency rating
- 88%
- Productivity increase
- 6×
- Cost-effectiveness
- 78%
Efficiency rating
Productivity increase
Less than hiring an SEO specialist
How we estimate these
- Efficiency rating: the share of the routine work the system runs with no one involved. Audits, schema, internal links and content refreshes run on a schedule; a person signs off on new pages.
- Productivity increase: Pages audited and optimized per week against one specialist working by hand.
- Cost-effectiveness: the build plus a year of running costs, against a year of an SEO specialist's full cost to employ: the median pay (BLS Occupational Outlook Handbook, May 2025) plus benefits, which are 30% of what employers spend (BLS Employer Costs for Employee Compensation, June 2026). First year only; the build is a one-time cost, so later years save more.
Top 5 buildLive in 2–3 weeks
Top 5 build 4. Live in 2–3 weeks.Find the holes before someone else does
Cyber Security Vulnerability Audits
A security assessment of your external and internal surface, configurations, access, and dependencies, delivered as a severity-ranked findings report with a fix-it-first remediation roadmap. Includes a SOC 2 readiness gap check.
- Findings report with every issue ranked by severity and exploitability
- Prioritized remediation roadmap: what to fix this week, this month, this quarter
- External and internal vulnerability scan results, validated to remove false positives
Projected for a typical build
- Efficiency rating
- 80%
- Productivity increase
- 4×
- Cost-effectiveness
- 89%
Efficiency rating
Productivity increase
Less than hiring a security analyst
How we estimate these
- Efficiency rating: the share of the routine work the system runs with no one involved. Scanning, triage and validation run automatically; a person owns the fixes and the final report.
- Productivity increase: Assets checked per week against one analyst running the same checks manually.
- Cost-effectiveness: the build plus a year of running costs, against a year of a security analyst's full cost to employ: the median pay (BLS Occupational Outlook Handbook, May 2025) plus benefits, which are 30% of what employers spend (BLS Employer Costs for Employee Compensation, June 2026). First year only; the build is a one-time cost, so later years save more.
Top 5 buildLive in 4–6 weeks
Top 5 build 5. Live in 4–6 weeks.Answer every call, book more meetings
AI Receptionists
Voice agents that answer inbound calls and place outbound ones. The receptionist routes, answers FAQs, and books appointments around the clock; the cold caller qualifies leads and sets meetings. Both hand off to a human when it matters, with consent and opt-out handling built in.
- Inbound AI receptionist: call routing, FAQ answers, and live calendar booking, 24/7
- Outbound AI caller: list-driven qualification and appointment setting with retry logic
- Warm human handoff (live transfer or callback) on intent, sentiment, or request
Projected for a typical build
- Efficiency rating
- 92%
- Productivity increase
- 4.2×
- Cost-effectiveness
- 63%
Efficiency rating
Productivity increase
Less than hiring a receptionist
How we estimate these
- Efficiency rating: the share of the routine work the system runs with no one involved. Answering, qualifying and booking run unattended; a person takes the calls it escalates.
- Productivity increase: Hours covered: 24/7 (168 a week) against one receptionist's 40.
- Cost-effectiveness: the build plus a year of running costs, against a year of a receptionist's full cost to employ: the median pay (BLS Occupational Outlook Handbook, May 2025) plus benefits, which are 30% of what employers spend (BLS Employer Costs for Employee Compensation, June 2026). First year only; the build is a one-time cost, so later years save more.
Not sure which of the five fits your business?
That is the call. Thirty minutes, free, and you leave knowing which build pays back first for you — even if the honest answer is that you do not need us yet.
Vendor-neutral · no commissions · no obligation
Our work
We built Alias — one AI that uses every model.
Instead of one model guessing, the right models run at the same time on the parts they are best at, and you get one answer back. Below is the real Alias interface — pick a starter to watch it work, or type your own question and it opens in Alias.
alias.digitalnetworks.ai
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Pick a starter for a scripted walkthrough, or type your own question to continue in Alias.
Alias is our own consumer AI product, designed, built and operated in-house on the same infrastructure practice we sell. Free to start, and it runs in any browser.
What it does for you
01
Ask once, in plain language
You describe the task the way you'd describe it to a person. Alias reads what you need and decides which models are right for it — no prompt engineering, no picking a model from a dropdown, no starting over in a different app.
02
The right models run together
Code, deep research, hard reasoning, images and video each go to the models that are genuinely best at them, running at the same time rather than one after another.
03
One answer back, not six drafts
Alias checks the results against each other and merges them into a single confident reply. You stop comparing tabs and grading chatbots against one another yourself.
04
It keeps what you've built
Projects hold the conversations, code and documents for one piece of work. Connectors index your Drive, Notion, GitHub and Slack — permission-aware, so it only ever sees what you can. Skills carry your standards into every task.
Why it beats paying for one chatbot
Every other assistant is one lab's model wearing one lab's interface. Alias is the layer above them.
- No single model is best at everything
- Every lab leads on something and trails on something else, and the ranking shifts with each release. One subscription locks you to one lab's weakest areas along with its strongest.
- Your context stops getting lost
- Switching apps to get a better answer means re-pasting your files and re-explaining your standards every time. Alias keeps the project, the connected sources and the skills in one place, whichever models run the work.
- Answers are cross-checked, not taken on faith
- A lone model states its best guess with the same confidence as a fact. Running several and comparing them surfaces the disagreement before it reaches you.
- Private by default, and yours
- Alias is never trained on you and never sold. You decide what it can access, you can disconnect anything at any time, and your data stays exportable and deletable.
Try Alias
Free to start · works in any browser
How we deliver
From audit to live, one agent team.
Every engagement runs through the same five specialists, an AI agent team that takes you from the first scan of your systems to a solution that's built, deployed, and monitored in production. No hand-offs, no black boxes.
01
02Analysis
Every opportunity ranked by impact versus effort, so the priorities are obvious, not opinionated.
03Build
Supervised agent teams build the solution against one reference architecture your team owns.
04Deploy
We ship to production behind your controls: governed, tested, and reversible.
05liveLive
Then we run and monitor it around the clock, with humans in the loop and every action logged.
Proof, not promises
Three products we built and run.
Alias, a multi-model AI assistant serving real users. Vimal, a consumer social app shipped to Android. And this site, which runs our own booking, payments and phone receptionist. Same practice we sell you, applied to our own products first.