TheonlyGTMOperating System.
We operate it, or you run it.
- outbound that books qualified calls on your calendar
- content, newsletter and SEO that make you findable
- AI agents that scale the operation
GTM OS
we connect it to your company
your ICP · your cases · your voice · your market
the same software we operate every day
we generate B2B leads
and it plugs into your stack
+50 companies working with ZalesMachine
Data cleaning and enrichment for HubSpot accounts. Sales team workflow automations.
AI bot that auto-validates phone numbers and identifies active, reachable lines.
We connected the GTM OS: email and LinkedIn.
Data cleaning, enrichment, and TAM mapping for LatAm accounts.
We connected the GTM OS: email, LinkedIn and cold calling.
We connected the GTM OS: email and LinkedIn.
We connected the GTM OS: email and LinkedIn.
We connected the GTM OS: email and LinkedIn.
We connected the GTM OS: email, LinkedIn and cold calling.
We connected the GTM OS: email and LinkedIn, plus the Inner Circle automation.
We connected the GTM OS: email and LinkedIn.
We connected the GTM OS: email and LinkedIn, with a CRM implementation on Freshsales.
We connected the GTM OS: email and LinkedIn.
Lead scraping + database generation
Other clients we work with
You want B2B leads. The problem is how.
Three ways to build B2B lead generation. All three make you build what already exists.
Hire someone
Three to four months before they produce, and six months in they have half of what already exists. If they leave, it leaves with them.
$15K to $36K year one, plus tools
Hire a traditional agency
It rents you people. What it learns about your ICP lives in someone’s head and walks out the day the contract ends.
you find out if it works on month three
Build it with AI
You downloaded skills from GitHub and built a process that ran once and brought nothing, so you think the channel is dead. Or it brought some results, and now you have to close those deals and keep the system running at the same time. You never get a predictable, steady pipeline.
you drop the channel, or it eats your time
All three start from scratch. We already built it, operating, over three years.
Sources
01 · Immediate demand
Outbound
End-to-end outbound via email + LinkedIn: infrastructure, data sources, AI personalization and pipeline management. The deliverable: qualified calls booked directly on your calendar. Live in 3–4 weeks.
02 · Authority & inbound
Inbound
We run LinkedIn for your commercial profiles end-to-end: strategy, copywriting, design and publishing. You only review and approve. Every post warms up the prospects your outbound reaches.
- pulls data from every tool you use
- updates the status of each lead
- leaves notes and nurtures the lead
03 · Operational efficiency
AI Agents
Custom AI agents and automations, one at a time, each in production before the next. CRM hygiene, pipeline signals, drafted follow-ups, automated reporting. Discovery and roadmap are free.
B2B leads, plug and play.
Because we did not build it for you: it was already built. Eight platforms we own, the data from three years of campaigns, and the nine-stage process that wires them together, for inbound and outbound motions. Every module exists because a client needed it and nothing did the job. None of them are on GitHub.
copywriter-platform
Copywriting platform at scale. It resolves every block lead by lead against your library and your dimensions.
whatsapp-platform
WhatsApp platform on Meta’s official API, inside the multichannel flow and with per-number pacing.
clients-portal
Client portal with live pipeline and dashboard. Per-campaign metrics and month-end review, meeting by meeting.
reply-manager
Unified inbox for email, LinkedIn and WhatsApp. The AI writes it, a human in the loop validates and sends.
domains-health
Deliverability monitoring platform. +1,000 domains and 2,500 mailboxes monitored.
analyzer
Campaign analysis platform. Which role, which country and which exact wording booked the meeting.
content-platform
Multi-profile content platform. Pillars, learned voice, design with your brand kit and publishing.
ZalesMachine · LinkedIn
Our last 10 pieces averaged 1,160 impressions and 32 reactions.
ZM-database
Our own leads and companies base. 1.4M leads and 970K companies, with a record of who we already contacted.
GTM OS. As a service or in-house.
The modules are the same either way. What changes is who operates them.
We operate it
From $2,200/mo · tools included
For you if you have no team or no time to operate it.
- we do
- A dedicated squad runs the whole system: infrastructure, data, copy, sending, replies and reporting.
- you do
- You review and approve. Nothing else.
- Outboundfrom $2,200/mo
- Inboundfrom $500/mo per profile
- AI Agents$1,850/mo
You operate it
From $200/mo · you pay your own tools
For you if you have someone technical who can give it a few hours a week.
- we do
- We hand over the modules, the playbooks and the data, and we keep them updated.
- you do
- Your team runs it, on your own credentials, inside your company.
- GTM OS$200/mo
- Implementationsetup fee + revenue sharing, quoted per case
The alternatives
Compared with the other options
Five ways to solve the same thing. This is what each one leaves out.
Swipe to see the rest
| ZalesMachine | GitHub skills | In-house SDR | Traditional agency | Tools only | |
|---|---|---|---|---|---|
| Up and running this week | sí | sí | no | partly | sí |
| One system for outbound and inbound | sí | loose pieces | no | separately | no |
| Sending infrastructure monitored and rotated on its own | sí | no | no | limited | no |
| One-to-one copy with a human signature | sí | up to you | sí | sí | no |
| Everything measured by channel, segment and message | sí | no | no | monthly report | no |
| Tools included in the price | sí | no | no | limited | it is the cost |
| You can keep it in-house | sí | sí | sí | no | sí |
What our clients say
1 new enterprise client in the first month, with $3K+ MRR in a new region

Luciano Basile
Country Manager Arg @ Base
+40 meetings booked (Adobe, Naranja X, Telecom, Iplan)

Andres Bruzzoni
CEO @ Samu.ai
+100 meetings booked (Belo, Banco Provincia, Galicia, NaranjaX, Flybondi)

Nicolas Martinez
CEO @ Facturante
+$25,000 MRR generated and +300 meetings booked (PedidosYa, Liverpool, GM, Despegar)

Juan F Monte de Oca
Marketing & Sales Director @ Mendel
2.5x higher conversions and up to 75% fewer unproductive calls

Maximiliano Romero
Head of Sales @ Thomson Reuters
+30,000 contacts enriched and 5+ hours of ops work saved per day

Antonella Basile
Sales Director @ Visma
This is why we work with enterprise and VC-backed companies.
Book a Discovery CallWatch how we actually do it
Walkthroughs of the System, real campaigns and the tools we use, recorded on our own screen. In Spanish.
IA para cold email | Capítulo 2
Setup para VENDER con IA | Capítulo 1
9 Funcionalidades de Clay gratis que no conocías
Clay (Español) + Phantombuster: Encontrar personas que interactuaron con contenido en LinkedIn
Clay 101 en español: Herramienta para generar nuevos clientes B2B
Clay (Español) + Crunchbase: Buscar mails de decision makers, a partir de compañías de Crunchbase
Frequently asked questions
What is the GTM OS?
The system we use to generate B2B leads: eight platforms we built by operating (copywriting, WhatsApp, pipeline and dashboard, reply manager, domain health, analyzer, content and our own data base), the documented nine-stage process that wires them together, and the data accumulated over three years of campaigns. You can have it operated by us or run by your team.
How is this different from a traditional agency?
An agency rents you people and starts from scratch with you: what it learns about your ICP lives in someone’s head and walks out the day the contract ends. We connect software we own and data from three years of campaigns, on top of the people. And if you want the system to live inside your company, we install it. An agency cannot hand you its agency.
Why not build it myself with Claude Code and some GitHub skills?
You can, and you will be running in an afternoon. What you will not build in an afternoon is one system doing outbound and inbound at once, sending infrastructure that monitors and rotates itself, and everything measured by channel, segment and message. With loose skills every piece works but the whole thing breaks, and every week it takes more of the time you should be spending on selling.
Can I run the system in-house?
Yes. The GTM OS runs on your own credentials from $200/mo: you pay for your tools and credits, and we never bill you for usage. If you would rather not set it up, Implementation means we install it, connect it to your CRM and train your team. It is in early access, so entry is through a call.
What do I need to run it myself?
Someone comfortable in a terminal with Claude Code or a similar agent, a few hours a week, and accounts for the tools the process uses. The onboarding researches your company and builds your company types and buyer personas before you write a single message. If you do not have that person, the operated mode is the one for you.
How long until it is up and running?
Between 3 and 4 weeks from kickoff: we set up sending infrastructure, data sources and strategy, and the first qualified leads arrive around week 4. An in-house team takes 3 to 4 months to reach the same point.
How many meetings can I expect per month?
It depends on the plan, the sending volume and the market. In LatAm the range runs from 7 to 25 depending on the plan, averaging 10 to 12. You can also set a cap: if your team cannot handle more than a certain number, we agree the limit before starting and stop there.
Do you work LatAm or the US?
Both, and they are not run the same way. Reaching the same number of meetings in the US takes five times the infrastructure and five times the sending volume, and LinkedIn content stops being optional, because there the prospect checks your profile before accepting. The US plans are sized for that.
Do you use AI to write the messages?
To resolve variables, not to write. The analyst writes the structure of the message in blocks and the platform resolves each block lead by lead against your library and that lead’s data. If it cannot resolve one with confidence, a human-written fallback goes in. It never invents your copy, and nothing goes out without your approval.
What do I have to do?
A workshop call at the start to load your context, then review and approve the copy. Nothing else. In the in-house mode it is the other way around: you operate it and we keep the system updated.