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WhatsApp AI · Logistics · Technical Documents with AI
+10,000 automated messages/month · response <30s

Assist customers on WhatsApp. Automate your logistics. Technical briefs with AI.

Three examples of AI running on your own data.

Everything local, without your information leaving your infrastructure.

View projects in production Let's talk →

Your idea transforms into AI that works for you.

Presence · 5 years

Automation of business processes with artificial intelligence in production

Projects in production
0+

Systems in production serving real companies

Industries served
0

Telecom, construction, logistics, and more

Savings vs SaaS
−0%

Savings compared to traditional SaaS licenses

Infra self-hosted
0%

Infrastructure under your control

Response on WhatsApp
0/7

Continuous support on WhatsApp

Resolved without human intervention
0%

Resolution without human involvement

Drafting a tender
0 min

Technical documents with AI

Preparation of bids/month
0x

More responsiveness

Django● Python● PostgreSQL● n8n● Claude● OpenAI GPT● Docker● Nginx● Redis● PostGIS● FastAPI● Flutter● HTMX● Alpine.js● Let's Encrypt● Nextcloud● Tailwind● DaisyUI● WhatsApp API● ChromaDB● Whisper●
Real product · live captures

Automation systems in production: real examples without simulations

  • Operational backoffice with real-time monitoring and tracking

  • Step-by-step technical document generation with artificial intelligence

pozos-scz.app · Backoffice
Backoffice con mapa operativo, clusters de clientes y zonas poligonales
App móvil del operador con sus tareas del día

Quote, schedule, and manage field operations from a single place — backoffice with operational map and mobile app for field operators.

View the full case →

The wizard that writes technical documents with AI, step by step.

8 real screens of the product in use. Scroll horizontally to see the complete flow.

View the 8 steps →
STEP 01 Screen · 1 / 8
Paso 1: datos iniciales de la actividad (tipo, unidad, descripción)

Step 1: initial activity data (type, unit, description)

STEP 02 Screen · 2 / 8
Paso 2: parámetros de materiales sugeridos por IA con valores recomendados

Step 2: material parameters suggested by AI with recommended values

STEP 03 Screen · 3 / 8
Paso 3: parámetros de ejecución (dimensiones, tiempos, tolerancias)

Step 3: execution parameters (dimensions, times, tolerances)

STEP 04 Screen · 4 / 8
Paso 4: normas y estándares aplicables con justificación

Step 4: applicable norms and standards with justification

STEP 05 Screen · 5 / 8
Paso 5: criterios de calidad con tolerancias y métodos de verificación

Step 5: quality criteria with tolerances and verification methods

STEP 06 Screen · 6 / 8
Paso 6: ajuste de título con sugerencia técnica de IA

Step 6: title adjustment with AI technical suggestion

STEP 07 Screen · 7 / 8
Paso 7: actividades complementarias sugeridas

Step 7: suggested complementary activities

STEP 08 Screen · 8 / 8
Documento técnico completo generado, listo para licitación

Complete technical document generated, ready for bidding

Bids and Specifications

Generating specifications and bids with artificial intelligence

Based on a description of the activity, the system generates technical parameters, material selection, applicable standards (IRAM, ACI, ASTM), and quality control criteria. The result is an editable technical specification, ready to be integrated into bids or proposals.

  • Describe the activity

    Name, unit of measure, and type of service. The AI fills in the rest.

  • The AI proposes the technical parameters

    Materials, IRAM/ACI/ASTM standards, and quality criteria. You validate and adjust on screen.

  • The AI refines the details

    Exact technical name and complementary activities. Edit as needed.

  • You obtain the generated specification

    Complete technical document ready for your bid or contract.

Writing time
10 days → 6 hours

Bid of 40+ average pages.

Response capacity
4x

More documents per month — bids, proposals, and contracts.

Technical traceability
100%

Each statement linked to its source.

Everything runs on your server.

Your bids, standards, and technical documents stay within your network. The model consults, does not retrain with your information.

Schedule 15 min →
Technical specification generator
Portfolio · reference cases

Real cases of automation and artificial intelligence across various industries

Each with its own story, technology, and numbers. The rest is under confidentiality agreement — we show live demos under a signed NDA.

Services · four fronts

Four fronts. The same principle: your automated operation, on your own server.

01 / 04

Automation of support on WhatsApp with artificial intelligence

  • Automatic resolution of frequently asked questions in seconds

  • Intelligent escalation with complete context for the human team

  • Integration with CRM and internal systems without disrupting your current processes

P2 · P3 →
02 / 04

Automation on your own infrastructure: complete control of your data and processes

  • Alternative to SaaS on your own infrastructure with lower operational costs

  • Your data stays on your infrastructure without external exposure

  • Open source technology without reliance on vendors or hidden licenses

P7 →
03 / 04

Bids and documents with AI

A bid in 15 minutes. Your document history works for you.

Bidding section →
04 / 04

Custom software on your server

Your operation on your own server. No subscriptions, delivered in days.

P1·4·5·6 →
Stack · open source

Automation with open source technology: no vendor lock-in

  • Django + PostgreSQL + Docker: proven technology used in thousands of projects

  • Process automation with n8n on your own infrastructure

  • Use of AI models under your control and configuration

Backend

Django DRF Gunicorn Python PostgreSQL PostGIS Redis FastAPI

Frontend

Tailwind DaisyUI HTMX Alpine.js Leaflet Flutter

Automation & AI

n8n self-hosted n8n-MCP OpenAI GPT Claude ChromaDB Whisper

Infrastructure

Docker Docker Compose Nginx Let's Encrypt Nextcloud Ubuntu Whitenoise

Security & DevOps

django-axes django-csp HSTS fail2ban UFW JWT blacklist GitHub Actions pg_dump backup
Method · 6 phases

How we implement automation with artificial intelligence in your company

6 phases with clear deliverables, defined timelines, and a fixed price from day one. No surprises on the bill.

  1. 01

    Kickoff

    ½ day

    → Work plan + validated requirements + access

  2. 02

    Architecture

    1–3 days

    → Technical diagram + data model + confirmed stack

  3. 03

    Development

    2–8 weeks depending on scope

    → Incremental iterations with client demos

  4. 04

    Integration and testing

    1–2 weeks

    → QA with real data + adjustments + client approval

  5. 05

    Deploy

    1–3 days

    → Stable production + SSL + active monitoring

  6. 06

    Handoff

    ½–1 day

    → Trained team + documentation + post-delivery support initiated

Typical total duration: 4–12 weeks for custom software projects. Includes 30 days of post-delivery support + team training.

Timelines are business weeks of technical work — calendar time varies based on client availability and approval cycles. For pure infrastructure services (VPS + Docker + self-hosted platforms): 3.5–6 days.

Economy · self-hosted vs SaaS

On-premises infrastructure vs SaaS in automation: reduce costs and maintain control

Conservative estimates based on real cases. The self-hosted cost includes VPS + monthly service with us.

Case: SME with 20 employees Analysis · Completed

SME with 20 employees

Wants own cloud, email, shared files

SaaS

$310/month

Self-hosted

~$90/month

Savings · −71% $220/month less
SaaS
Google Workspace + Zoom + extra storage · 20 users
USD 3,720/year
Self-hosted
VPS + Magoreal service
USD ~1,080/year
Case: Consultancy with 50+ automations Analysis · Completed

Consultancy with 50+ automations

Paying Zapier / Make per operation

SaaS

~$700/month

Self-hosted

~$150/month

Savings · −79% $550/month less
SaaS
Make Business $100 + Zapier Business $599 · actual usage
USD ~8,400/year
Self-hosted
VPS + n8n + Magoreal · unlimited executions
USD ~1,800/year
Case: Internal IT team Analysis · Completed

Internal IT team

Needs to standardize its deploy for N apps

SaaS

~$425/month

Self-hosted

~$90/month

Savings · −79% $335/month less
SaaS
Render / Heroku · 5 apps × $85/app (Standard)
USD ~5,100/year
Self-hosted
A VPS · all apps · no limit
USD ~1,080/year
Case: Company with sensitive data Analysis · Completed

Company with sensitive data

Legal, health, finance, public sector

SaaS

price + legal risk

Self-hosted

~$150/month

Total control
SaaS
Multi-tenant SaaS · data out of your control
legal risk + audit
Self-hosted
VPS in your jurisdiction · auditable
VPS chosen jurisdiction

Prices in USD. The self-hosted cost includes VPS (~$15-20/month) + monthly service with us (management, updates, and AI as needed). Comparison with Google Workspace, Zapier, Make, Heroku/Render plans as of April 2026. Actual savings depend on team size and usage.

Questions · what people always ask

Frequently asked questions about automation and artificial intelligence

Q01 AI · Data Integrity
Does AI invent technical data or cite sources?
Every technical claim is linked to the source document — previous tender, standard, catalog, report. Nothing invented, all traceable. It's the way grounded RAG with inline citation: if the model has no source for something, it marks it as a point to review instead of improvising.
Q02 Security · Self-hosted
Does it keep my tenders, standards, or client data?
Everything runs on your server (self-hosted). The models consult but do not retrain with your information. If you use a cloud model, only the minimum necessary fragment is sent and there is an audited log of each request. Zero data sharing with third parties, no exceptions.
Q03 Legal · Approval
What if the tender has legal clauses or sensitive conditions?
The output is always a draft. Your legal/technical team reviews and signs. AI accelerates, it does not replace human judgment. The workflow requires explicit approval before exporting the final PDF — there’s no way for anything to be sent to the buyer without going through you.
Q04 Time · Scope
How long does a project like this take?

It depends on the scope. As a reference:

  • Only private cloud systems: 3 to 6 days.
  • Simple custom application: 2 to 4 weeks.
  • Complete platform: 2 to 4 months.
  • AI chatbot on your documents: 3 to 6 weeks.

We always deliver something functional in the first half of the month, even if it's small.

Q05 Demo · NDA
Can I see a project in action?
Yes. We show live the 2 projects that have public authorization. The other 13+ run on clients under confidentiality agreements — in those cases, we do recorded demos or live sessions under signed NDA.
Q06 Production · NDA
How many projects are in production?
More than 15 systems running with real clients. The 7 you see here are the most representative by industry and type of solution. The rest is under NDA — names and details only under confidentiality agreement.
Q07 Ownership · Open Source
What happens if I migrate to another provider in 2 years?
You still own the code, the database, and the VPS. Everything runs with open source tools. You take everything with git clonepg_dump. No vendor lock-in.
Q08 Support · Post-delivery
Do you offer support after delivery?
Yes. Includes 30 days of post-delivery support on every project. After that, you have the option of a monthly plan (maintenance + updates + new modules on request) or hour packages with no expiration.
Q09 Location · Remote
Where do you work? Only Latin America?
All of Latin America, and also clients in the United States and Europe. We work 100% remotely. Billing in USD, stable cryptocurrencies or local currency as applicable.
Q10 Legal · Confidentiality
Do you sign NDAs?
Always. It’s standard before starting any conversation with sensitive data. If you have an NDA template, we review and sign it.
Q11 Infra · Hosting
Does it include hosting or do I have to contract it myself?
You contract the VPS in your name (Hetzner, DigitalOcean, Contabo, etc.) — this way you always have control. We recommend the most cost-effective option based on your load. Setup, installation, configuration, and documentation are on our side.
Q12 Team · Training
What if my team doesn't have technical people?
We handle it the same way. Includes training for the team + runbook (backup, restore, upgrade) + optional monthly plan where support is included. You don’t need a hired SysAdmin.
Q13 Maintenance · Audit
Do you maintain systems made by others?
Yes, if the stack is compatible (Django, Python, n8n, Docker). First, an audit to see the current state. Then a stabilization plan and transition to our standard stack if applicable.
Q14 Payments · Billing
How is payment made?
USD (international invoice with taxes), stable cryptocurrencies (USDT / USDC) or local currency when applicable. 50% at the start, 50% upon delivery for closed projects. Monthly plans are paid at the end of each month.
Contact · response within 24 hours

Ready to automate? Tell us about your process and we'll design the solution

  • 30-minute diagnostic call at no cost or obligation

  • Personalized response in less than 24 hours

  • Non-disclosure agreements (NDA) before sharing sensitive information

Contact form Status · Online

We respond personally. No auto-reply. No salesperson calling you.

Message received

I'll reply by email in less than 24 hours. Thanks for reaching out.

Or through a direct channel

contacto@magoreal.com

If you prefer the classic.

Does your company need an NDA?
We can sign one easily before discussing sensitive data. Just message me through any channel and I'll send it.