We turn your scattered systems into one AI brain — then build, deploy, and operate the AI employees that run on top.
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Everywhere AI voice assistant
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English · Português
Decades of knowledge sit scattered across a dozen disconnected systems. Ask one simple question and every system gives a different answer. There is no single source of truth.
JP Morgan, Disney, every major enterprise has this problem. Even Deloitte and PwC struggle to fix it.
One question. Four answers.
“What was our revenue last quarter?”
CRM
$4.2M
ERP
$3.8M
Accounting
$4.05M
Spreadsheet
$4.4M
For the first time, AI can read, reason over, and connect every system a company runs on. The winners won’t be the ones with the most chatbots — they’ll be the ones who become AI-native first.
AI crossed the threshold where it can unify and operate real enterprise data — not just answer prompts.
Most “AI transformations” stall as disconnected pilots. Consultancies advise; almost no one builds and operates.
The gap between AI-native companies and everyone else is opening now — and it compounds.
Paper became the computer. Scattered files became one system. We are making the next leap: all your data, everywhere, unified into one AI brain.
Your systems
Unified Intelligence Layer
One ontology. One source of truth.
AI employees
Without the foundation, AI fails at enterprise scale. With it, the workforce actually works — 24/7.
We don’t hand you a deck and leave, and we don’t disappear after launch. Every engagement is phased: a paid discovery that surfaces immediate savings, a build, and ongoing monthly operation.
We sit with your team, map your processes, and pinpoint where AI saves money from day one — delivered as a complete roadmap that’s yours to keep.
The discovery fee is credited toward your build — so the roadmap is a down payment on results, not a sunk cost.
We unify your scattered systems into one ontology — a single source of truth your AI employees can reason over.
We deploy AI employees on top of the brain, department by department, prioritized by impact.
We run it alongside your team month over month — measuring ROI, optimizing, and expanding over time.
Your data never has to leave your walls. We deploy the brain wherever your security posture demands — and your information is never used to train anyone else’s models.
Hardened cloud with SOC 2 Type II and HIPAA-grade controls.
Runs inside your own cloud or VPC, under your keys.
Fully on your servers with local LLMs. Never touches the internet.
Palantir built the unified intelligence layer for governments and the military, working only with the largest tier-one institutions. Our team includes ex-Palantir engineers — and we bring that same approach to the enterprises they’ll never serve, then build and operate it for them.
20+ yrs
Building & licensing frontier technology
Ex-Palantir
Engineering DNA on the team
Disney · Marvel
Past technology licensing & exit
Banking-grade
Deep strength in financial services
Selected clients, partners & licensing history
Founder
Guy Daniel
Guy started in Montreal, where the early AI labs created a rare concentration of research and talent. The team first ran an investment fund focused on AI, robotics, and bioengineering — then moved from investing to building. One of the major early wins was licensing technology to Disney and Marvel before an eventual exit. Everywhere AI is the continuation of that operating history: an innovation lab building AI infrastructure, enterprise transformations, and vertical AI companies, with deep strength in banking and financial services.
Operations across four continents — North America, Latin America, Europe, and the Middle East — with client activity in Canada, the US, Brazil, the UK, and Dubai.
Montreal
Canada · HQ & R&D
Los Angeles
United States · West Coast
São Paulo
Brazil · LATAM operations
London
United Kingdom · Europe
Dubai
UAE · MENA operations
Every AI employee and ontology capability we create, we apply twice: inside our enterprise clients, and inside our own vertical AI companies. Each niche becomes a real product that proves the model in the market — and feeds the engine back.
Ontology + AI employees
One reusable core
Re-skinned into vertical companies
Milano AI
Fashion & retail
Archie AI
Architecture
Cinema AI
Media production
Provenance
Private equity
Legonto
Legal
Govbid
Public sector
Healthcare
Healthcare AI employees: scribe, AI receptionist, 24/7 AI doctor/nurse that knows each patient, plus a clinical ontology.
Financial analysis
AI financial analyst for company, stock, and market research. One of our first projects, in free beta.
Not tools — team members. They live in your stack, connect to your systems, and execute complex workflows autonomously, 24/7.
A single pane of glass over the whole business — every department, every AI employee, every number, grounded in your ontology.
Operations Control Center
Guy Daniel
Founder & CEO
Live Verticals
Milano — Content
6 tasks running
Provenance — Diligence
3 tasks running
Legonto — Legal
5 tasks running
Elix — Healthcare
8 tasks running
Ontos — Core
4 tasks running
Gov + Defense
2 tasks running
99.4% uptime across the portfolio
One company. Many vertical engines. All running live.
8+
Vertical AI lines
5
Operating markets
50+
Enterprise deployments
40+
AI employee archetypes
Everywhere AI
Enterprise — AI employees
Ontos
Ontology layer
Milano AI
Fashion & retail
Archie AI
Architecture & real estate
Provenance
Private equity
Legonto
Legal
Enterprise AI is one of the largest software shifts of the decade. Our edge is not one product — it is one engine (ontology + AI employees) re-skinned market after market.
Enterprise AI software market
$0B by 2030
The market for enterprise AI software is set to grow roughly 5× by 2030 as companies race to become AI-native. That is the wave our engine rides — one platform, re-skinned vertical after vertical.
$0B
TAM
Global enterprise AI software by 2030
$0B
SAM
Knowledge-work verticals we serve
$0M
SOM
36-month ARR target across verticals + enterprise
How we get to the numbers
TAM
SAM
SOM
$0.0T
Generative AI impact by 2032
Projected economic value created by generative AI across industries.
Source: Bloomberg Intelligence
$0B
AI software market by 2030
Enterprise AI platforms, agents, and applications.
Source: Grand View Research
0%
Of work activities automatable
Share of current work activities that could be automated with AI.
Source: McKinsey
Illustrative sizing — figures to be confirmed with internal model and cited sources.
Milano AI was chosen for the residency at Porto Maravalley — the City of Rio’s flagship innovation hub (Invest.Rio, MIT REAP), which brings together leading startups, universities, and investors to make Rio the innovation capital of Latin America.
6,000+
startups considered
100+
resident companies
R$1B+
ecosystem revenue
Selected out of
6,000+
startups
★ Selected ★
Porto
Maravalley
Rio de Janeiro · Innovation Hub
Certifications & selections
OpenAI
Certified
Harvard
Certified
Concordia
Certified
McGill
Certified
Official badges and logos added on request.
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.
We build the infrastructure, the vertical products, and the enterprise playbook for companies that want to become AI-native.
