We connect your scattered systems (CRM, ERP, finance, files, email, and what lives in people’s heads) into one AI brain. Then we build, deploy, and run AI employees on top of it.
Our voice AI. Uses your microphone.
Revenue last quarter?
3 answersWhere is the signed contract?
“Ask Maria. She knows.”
AI brain
LiveReal margin last quarter?
23.4% net
After costs, contracts, and hours. One answer.
Accounting assistant
Reading the invoices inbox
14 invoices posted to QuickBooks
2 flagged for a person to approve.
Just now
Trusted by teams at
Most companies are buying AI and not getting results. It isn’t a lack of capability. It’s a lack of organization. Ask one simple question, like what revenue was last quarter, and your CRM, your ERP, and your spreadsheets each give a different answer. AI built on top of that just guesses.
Dozens of disconnected systems, each with its own number. Every report starts with someone reconciling by hand.
The real process is tribal knowledge. When the person who knows is out, the work waits.
Copilots and chatbots get rolled out, but without your data and your rules they don’t move a number.
Paper became the computer. Scattered files became one system. We are making the next leap: all your data, everywhere, unified into one AI brain.
AI employees are only as good as what they know. So we build the brain first, and every employee works from the same live picture of your company.
…
We plug into the systems you already run and map how your business actually works: customers, products, contracts, people, and the rules between them. Ask a question and get one answer, with its sources.
PDF · $2,340.00
An invoice lands in the inbox. The accounting assistant reads it, codes it, posts it to QuickBooks, and flags anything unusual for a person to approve. No copy-paste, no backlog.
Shampoo 500ml
Inventory sees overstock on a product. The marketing employee builds a campaign around it. Sales and customer-service voice agents start offering it. One signal, and every team moves.
70–80%
Every AI employee reads from the brain instead of re-reading your whole company each time. Less context to send, far less to pay.
Your company’s context sits in the center: the data, documents, and systems you already have. Around it, every department gets AI employees that read the same context, with a person approving the decisions that matter. Click a department to open its tree.
Corporate context · 7 departments · 45 skills
Click a department to open
Pipeline · calls · proposals
Sales
They live in your stack, connect to your systems, and finish the work. Here are the jobs we deploy most.
Posted
Reads invoices from email, codes them, and posts them to QuickBooks. A person approves the exceptions.
AI search mentions
Newsletters, SEO and AI-search articles, and social posts, written in your brand’s voice and tied to what is actually selling.
Product photos, campaign images, and video from a single shot. Powered by the technology behind Milano AI.
Table for 4 · Friday 8 pm
Answer the phone around the clock, take reservations, qualify leads, and hand off to a person when it matters.
Read floor plans, architectural drawings, and dense documents. On complex architectural documents, accuracy went from 65% to 95% in a year.
Live numbers across every location, with alerts before problems cost money: labor above forecast, a slow week ahead, stock running low.
Talk to the brain the way you’d talk to a colleague. It cross-checks your CRM, ERP, email, support, WhatsApp, and payroll, then answers in one sentence with its sources.
Every engagement starts with a number we can move. Here is what that looked like for a few clients.
BankingSame regulated banking environment. AI sales agents trained on top performers, wired into CRM and compliance, with full audit trails.
80 → 5
Team size, same output
+34%
Sales increase in 10 months
~94%
Headcount cost cut
24/7
Coverage, no voicemail gap
Before → after
Operating team
80 staff
5 + AI
Revenue performance
Baseline
+34%
Coverage window
Business hours
24/7
Compliance
Manual audit
Full trail
Tomahawk.
Hospitality group · Montreal15 restaurants, plus hotels and stores, each running on separate systems. We connected POS, ERP, CRM, and accounting into one brain with live dashboards, then added AI employees for accounting, sales invoicing, newsletters, and reservations by phone.
+34%
Year-over-year growth after go-live
3–6%
Yearly growth in the years before
$50–60K
Saved this year by two AI employees
1 brain
POS, ERP, CRM, and accounting connected
Before → after
Data
Separate systems
One AI brain
Growth
3–6% a year
+34%
Accounting and invoicing
Hire 2 people
2 AI employees
Reporting
Built by hand
Live + red flags
More results
A prediction-market platform
One intelligence layer and AI employees on watch around the clock. Hours cut, leakage closed, revenue captured.
−70%
Ops and research hours
−55%
Cost per decision
< 1s
Signal to action
+22%
Volume recovered
A Dubai property-management group
An onboarding agent runs the process end to end, and a policy studio turns existing PDFs into training videos in under three minutes.
7 days → 2 h
Onboarding time
8 → 1
People involved
< 3 min
PDF to policy video
~$100K
Saved on policy videos
So many of our enterprise clients were fashion brands that we turned the work into a product. Milano AI creates product photos, campaigns, and video from simple images of the clothes. For many brands, it’s the first step before we build their AI brain.
Selected for the Porto Maravalley residency in Rio de Janeiro, out of 6,000+ startups.
Fashion clients
Lacoste Brasil only receives low-resolution sketches from global HQ, some as small as 6 KB. We turned them into the brand’s first AI-produced lookbook.
3,119
Approved studio images
628+
SKUs approved
8/8
Categories delivered
4 weeks
Delivered
Sketch
Sketch
Sketch
Usaflex photographs one sample per shoe. Every other colorway used to be built by hand by five Photoshop artists over 30 days. Now AI generates them, and agents carry that work into the catalog, distribution, and customer service.
Every colorway and angle generated from one studio photo.
30 days → 1 h
5 artists → 1 person
R$20K → R$20
Cost per produced video
Product pages, descriptions, and images published as soon as a colorway is approved.
2 weeks → 2 daysDraft
Catalog live
Retailer-ready asset packs and listings prepared for every channel.
Same dayDraft
Assets to retail partners
An agent answers product, size, and order questions around the clock.
24/7Draft
Product and order questions answered
DraftDraft figure for review
1,300+ images and 750+ looks across 9 collections, about 3 days per drop.
We don’t hand you a deck and leave. We consult, build, and operate, starting where AI saves money first.
We sit with your team, find the bottlenecks, and map where AI pays back first. You keep the roadmap, and the fee is credited toward the build.
We connect your systems into one AI brain that knows your business. A typical build takes 6 to 7 weeks.
Department by department, starting with the biggest bottleneck. People approve what matters.
We run it with you every month, measure the savings, and add employees as the numbers prove out. Keeping up with AI is a full-time job. That job is ours.
Your data is never used to train anyone else’s models.
Secure managed cloud
Hardened cloud with SOC 2 Type II and HIPAA-grade controls.
Your cloud
Runs inside your own cloud or VPC, under your keys.
On-prem, air-gapped
Fully on your servers with local models. Never touches the internet.
Some of our most sensitive work cannot be fully described on a public page. We are developing capabilities around government enablement, open-source intelligence, defense workflows, public-sector AI employees, procurement, and secure decision systems.
We keep this page intentionally limited. Serious conversations move into a private briefing.
Founder
Guy Daniel
Guy Daniel started in Montreal, where the first AI labs created a rare concentration of research and talent. Before Everywhere AI, his team ran an investment fund focused on AI, robotics, and bioengineering, then moved from investing to building. He and his team have worked with JP Morgan, Disney, Marvel, Lacoste, and Guess.
Everywhere AI works with companies across the Americas and in Dubai.
Everywhere AI is an AI innovation lab for enterprise. We connect a company’s scattered systems into one AI brain, then build, deploy, and operate AI employees on top of it, in phases that start with a discovery roadmap.
It is a living model of your business built from all of your systems: customers, products, contracts, people, and the rules between them. It gives AI one source of truth, so answers come from your data instead of guesses.
An AI employee is an autonomous agent that works inside your operations. It connects to real systems like your CRM, ERP, email, phone, and documents, and it finishes real work around the clock: posting invoices, writing campaigns, answering calls, reading plans.
Generic AI guesses from a prompt. We build a model of your business first, then AI employees that act on your real data and follow your rules, with a person approving the decisions that matter.
They take the tedious, repetitive work, like moving numbers from one spreadsheet to another, so your people spend their time on the work that needs them.
Discovery typically takes a few weeks. A typical AI brain build takes 6 to 7 weeks. After that, we deploy AI employees department by department and keep operating and expanding with you every month.
Wherever your policy requires: our secure managed cloud, your own cloud or VPC, or fully on-prem and air-gapped with local models. Your data is never used to train anyone else’s models.
Financial services, hospitality, fashion and e-commerce, property management, and architecture, plus confidential government work. In fashion, we also run our own product, Milano AI.
Every engagement is scoped to savings we can measure. It starts with a discovery roadmap, then a build, then a monthly plan to operate and expand.
Tell us where your team loses the most time. We’ll show you what the brain and your first AI employee would change, in numbers.