AI engineering with a business mindset

We design and build private and hybrid AI systems from scratch that plug into your company's real operation.

Systems your team can control, adjust, and grow. No black boxes, and no dependence on the big platforms' licenses.

[ AI AGENTS ][ AUTOMATION ][ PRIVATE AI ]

Book your audit

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A system that doesn't just answer: it operates

It observes, analyzes, decides, executes, verifies, and closes, following through until done or escalating to a person.

10Specialists on the team

20Projects delivered

10AI agents in production

1,000+Hours of design and engineering

Anyone can code

We audit and redesign the process before writing a line of code. Finance, operations, and sales are part of the design.

Founders who come from running companies, not just writing code

Few design businesses

Book your audit

Business processes turned into intelligent systems

Binarias Labs mark above its six-step work cycle: observe, analyze, decide, execute, verify, close

[ 01 ]

An AI engineering firm in Guadalajara. We design, build, and deploy systems that run inside your company.

[ 02 ]

We don't sell chatbots or licenses: we build software, data, agents, and integrations as one system your team controls.

03 — WHAT WE BUILD

Six capabilities. One system.

Each project combines only the pieces your operation needs, all designed to work together.

Hybrid / private / auditable

01 · Agents

Agents and multi-agent systems

Specialized agents that look up information, use tools, and take actions, coordinated by an orchestrator and reviewed by verifier agents. They run 24/7.

WhatsApp lead qualification · supervisors

02 · Automation

Intelligent automation

Flows that understand context: they read, classify, decide the next step, and escalate to a person only when needed.

Sales follow-up · reconciliations

03 · Knowledge

Enterprise knowledge (RAG)

Information scattered across PDFs, contracts, manuals, and CRM, turned into reliable answers that cite their source.

Internal assistants · document analysis

04 · Private AI

Private AI: local + cloud

Models on your own servers, combined with commercial models only when cost, speed, or difficulty call for it.

Model router · data that stays in

05 · Data

Data and business intelligence

Data extraction, cleaning, and modeling for dashboards, reports, territorial analysis, and natural-language queries.

Executive dashboards · interactive maps

06 · Software

Custom software

CRMs, portals, quoting tools, and platforms where AI lives inside the tool your team already uses every day.

CRM with agents · broker portal

06 — METHOD

First we understand the business. Then we write code.

Phase01020304·Progress

Phase 1

Audit

We learn how your company operates today: who's involved, what information they use, where time or money leaks, and which decisions need human judgment.

Operational diagnosis

Phase 2

Process mapping and design

We redesign the process and decide what code solves, what AI solves, what agents solve, and what people do. We define architecture, permissions, and integrations.

Architecture defined

Phase 3

Build

We build the foundations first — data, rules, and integrations — and the intelligence after. No unnecessary complexity.

Foundations, then intelligence

Phase 4

Testing and tuning

We test normal cases, exceptions, incomplete data, and provider failures, and tune with real data until the system responds as it should.

Ready to operate

05 — CASES

Case studies

Systems already running inside real companies: from a prospect's first message to the report leadership reads.

20Projects delivered

Illustration of a WhatsApp conversation where an AI assistant qualifies a prospect and books a visit, beside the five-layer agent architecture — Illustrative visual

Century 21 SiNow · Real estate

Century 21's #1 office in Mexico and Latin America

AI agents that qualify leads on WhatsApp

Challenge: Reply instantly to every prospect who writes on WhatsApp, qualify them, and bring them to an in-person appointment without overloading a team of 30+ advisors.
Architecture: Five-layer multi-agent system on the official WhatsApp Cloud API, running open models (Gemma) on local infrastructure via vLLM / llama.cpp.
Solution: An orchestrator routes each conversation to specialized agents that qualify, answer with real development data, and book the appointment in the CRM.

Designed for

24/7 response
Pre-qualified leads
Appointments in the CRM
Advisors who close

Illustration of a georeferenced market map with listings, transit layers, and a comparables panel — Illustrative visual

ESDATA · PropTech

Real estate market intelligence

From data to close: real estate intelligence

Challenge: Connect market data, financial analysis, and sales in a single tool for developers and advisors.
Architecture: Listings from portals and in-house inventory consolidated on a georeferenced map, with comparables plus mobility and urban amenity layers.
Solution: Quoting tools, payment plans, amortization tables, rent and investment simulators, and AI to profile buyers, assess sales feasibility, and train advisors.

Designed for

Georeferenced inventory
Comparables
Investment simulators
AI buyer profiling

Illustration of a tower inventory grid by floor and unit status next to a quote with a payment plan — Illustrative visual

SiNow Connect · Real estate

Broker sales portal · Guadalajara metro

A tower's entire sale, in every broker's hands

Challenge: Put the entire sales process of an apartment tower in the hands of every broker.
Architecture: Portal with three access levels (leadership, internal team, brokers) over inventory, price lists, and payment plans.
Solution: Interactive map, PDF quotes, spec sheets, letters of intent and offers, client CRM, appointment calendar, and financial analysis.

Designed for

3 access levels
PDF quotes
Client CRM
Appointment scheduling

Illustration of an advisor performance dashboard with an AI next-best-action suggestion and an analyzed voice note — Illustrative visual

Sales teams · Pre-sale

Pre-sale apartment sales

An AI coach for every advisor

Challenge: Coach every advisor selling pre-sale apartments, and give leadership visibility into performance.
Architecture: Agents that analyze WhatsApp conversations, voice notes, and calls, plus a performance dashboard per advisor and per team.
Solution: They suggest the next follow-up, revive cold conversations, and train objection handling and closing.

Designed for

WhatsApp · voice · calls
Objection handling
Lead recovery
Per-advisor metrics

Illustration of a sales pipeline board with stages moved by AI agents, beside an agent activity feed with alerts and tasks — Illustrative visual

Commercial operations · Sales

CRM with AI agents

A CRM where agents work the funnel

Challenge: Free the sales team from data entry so their time goes to selling.
Architecture: Agents that live inside the CRM pipeline: they log every interaction and update stages on their own.
Solution: They prioritize opportunities, create tasks and reminders, and alert when a prospect has gone days without movement.

Designed for

Automatic updates
Opportunity prioritization
Inactivity alerts
Tasks and reminders

Illustration of an executive financial dashboard with KPIs, monthly sales, and a month-end report checklist — Illustrative visual

Construrama · Construction materials

Finance

A custom-built financial system

Challenge: Give leadership the financial visibility it needs to decide in time.
Architecture: A system that concentrates the business's financial information in one place.
Solution: It automates report preparation and gives leadership a clear, current view of the operation.

Designed for

Centralized financials
Automated reports
Executive visibility

Is yours next?

It all starts with an audit of your processes.

Book your audit

AI engineering with a business mindset

We design and build private and hybrid AI systems from scratch that plug into your company's real operation.

Systems your team can control, adjust, and grow. No black boxes, and no dependence on the big platforms' licenses.

[ AI AGENTS ][ AUTOMATION ][ PRIVATE AI ]

Book your audit

Scroll to explore

A system that doesn't just answer: it operates

It observes, analyzes, decides, executes, verifies, and closes, following through until done or escalating to a person.

10Specialists on the team

20Projects delivered

10AI agents in production

1,000+Hours of design and engineering

Anyone can code

We audit and redesign the process before writing a line of code. Finance, operations, and sales are part of the design.

Founders who come from running companies, not just writing code

Few design businesses

Business processes turned into intelligent systems

[ 01 ]

An AI engineering firm in Guadalajara. We design, build, and deploy systems that run inside your company.

[ 02 ]

We don't sell chatbots or licenses: we build software, data, agents, and integrations as one system your team controls.

First we understand the business. Then we write code.

Phase01020304·Progress

Phase 1

Audit

We learn how your company operates today: who's involved, what information they use, where time or money leaks, and which decisions need human judgment.

Operational diagnosis

Phase 2

Process mapping and design

We redesign the process and decide what code solves, what AI solves, what agents solve, and what people do. We define architecture, permissions, and integrations.

Architecture defined

Phase 3

Build

We build the foundations first — data, rules, and integrations — and the intelligence after. No unnecessary complexity.

Foundations, then intelligence

Phase 4

Testing and tuning

We test normal cases, exceptions, incomplete data, and provider failures, and tune with real data until the system responds as it should.

Ready to operate

AI engineering with a business mindsetAIengineeringwithabusinessmindset

A system that doesn't just answer: it operatesAsystemthatdoesn'tjustanswer:itoperates

Anyone can codeAnyonecancode

Business processes turned into intelligent systemsBusinessprocessesturnedintointelligentsystems